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26:T10d6,<h3>Job Title: Data Engineer</h3><h3>Duration: 6+ Months Contract </h3><h3>Location: Remote India</h3><h3>Duties And Responsibilities</h3><h3>Essential Functions:</h3><ul><li>Create and maintain optimal data pipeline architecture.</li>
<li>Assemble large, complex data sets that meet functional / non-functional business requirements.</li>
<li>Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.</li>
<li>Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.</li>
<li>Build analytics tools that utilize the data pipeline to provide actionable insights for Information Asset as well as Information Asset Customers’ operational efficiency and other key business performance metrics.</li>
<li>Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.</li>
<li>Create data tools for analytics to build and optimize offering into an industry leading solution</li>
<li>Work with data and analytics experts to strive for greater functionality data systems.</li>
</ul><h3>Position Requirements</h3><ul><li>Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.</li>
<li>Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.</li>
<li>Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.</li>
<li>Strong analytic skills related to working with unstructured datasets.</li>
<li>Build processes supporting data transformation, data structures, metadata, dependency and workload management.</li>
<li>A successful history of manipulating, processing and extracting value from large, disconnected datasets.</li>
<li>Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.</li>
<li>Strong project management and organizational skills.</li>
<li>Excellent writing and verbal communication skills and a high level of customer orientation</li>
</ul><h3>Working Environment/Travel Requirements</h3><p>This is a remote working position and you will be expected to work out of a home office with high speed internet and phone connection to enable seamless virtual presence.</p><h3>Qualifications</h3><h3>Required Education and Experience:</h3><ul><li>Bachelor’s degree in computer science or information technology, or equivalent work experience.</li>
</ul><h3>·         3+ years as a Data Engineer.</h3><ul><li>Data engineering certification (e.g. IBM Certified Data Engineer, AWS Certified Data Analytics - Specialty) is a plus.</li>
<li>Must have technical expertise with data models, data mining, and segmentation techniques.</li>
<li>Experience using any of all of a combination of the following software/tools: • Relational SQL and NoSQL databases, including Postgres and Cassandra.</li>
<li>Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.</li>
<li>Data Storage Technologies like Amazon S3, Snowflake/Redshift, Hive, HDFS</li>
<li>Stream-processing systems: Storm, Spark-Streaming, etc.</li>
<li>Object-oriented/object function scripting languages: Python/ pySpark, Java, C++, Scala, etc.</li>
<li>Data warehousing using Oracle/Snowflake.</li>
<li>ETL Technologies like -Apache Spark/AWS Glue/ Databricks, Apache Airflow, Apache Hadoop.</li>
<li>Experience supporting and working with cross-functional teams in a dynamic environment.</li>
</ul><h3>Regards,</h3><h3>Nick Arthur (Nizam)</h3><h3>Associate Director, Recruitment </h3><h3><a href="https://himalayas.app/companies/pull-skil">Pull Skil</a>l Technologies India.</h3><h3>+91 7416706136</h3><p><strong>LinkedIn: </strong><strong>linkedin.com/in/nick-arthur-83937b62</strong></p><h3>Any</h3><p>All your information will be kept confidential according to EEO guidelines.</p><h3><a href="https://himalayas.app/companies/pull-skil">Pull Skil</a>l Technologies India</h3>12:["$","section",null,{"className":"container mx-auto px-4 pb-16 md:px-8 md:pb-24","children":["$","div",null,{"className":"flex flex-col gap-x-16 xl:flex-row","children":[["$","div",null,{"className":"flex-shrink-0 xl:w-[48rem]","children":[["$","div",null,{"children":[["$","div",null,{"className":"border-b border-gray-200 pb-8 md:pb-12","children":[["$","div",null,{"className":"mx-auto mb-8 h-[50px] w-[300px] xl:h-[90px] xl:w-[728px]","align":"center","children":["$","$L25",null,{"client":"ca-pub-1903475862532265","slot":"3459023968","style":{"display":"block"},"className":"h-[50px] w-[300px] xl:h-[90px] xl:w-[728px]","format":null}]}],["$","div",null,{"className":"mb-8 flex w-full flex-row gap-x-2 rounded-lg border border-gray-200 p-4","children":[["$","svg",null,{"xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"fill":"none","viewBox":"0 0 24 24","className":"size-5 text-gray-500","children":["$","path",null,{"stroke":"currentColor","strokeLinecap":"round","strokeLinejoin":"round","strokeWidth":2,"d":"M11.302 21.6147c.2214.1292.3321.1938.4883.2273.1213.026.2981.026.4194 0 .1562-.0335.2669-.0981.4883-.2273C14.646 20.4783 20 16.9083 20 11.9999V7.2175c0-.7995 0-1.1993-.1308-1.543a2 2 0 0 0-.5469-.7891c-.2758-.243-.6501-.3834-1.3987-.6642l-5.3618-2.0107c-.2079-.078-.3118-.1169-.4188-.1324a1 1 0 0 0-.286 0c-.107.0155-.2109.0545-.4188.1324L6.0764 4.2212c-.7486.2808-1.1229.4211-1.3987.6642a2 2 0 0 0-.547.7892C4 6.0182 4 6.418 4 7.2175v4.7824c0 4.9084 5.354 8.4784 7.302 9.6148"}]}],["$","div",null,{"className":"flex flex-col items-start gap-y-1","children":[["$","p",null,{"className":"text-sm font-medium text-gray-600","children":"Stay safe on Himalayas"}],["$","p",null,{"className":"text-sm text-gray-600","children":"Never send money to companies. Jobs on Himalayas will never require payment from applicants."}]]}]]}],["$","article",null,{"className":"mb-8 md:mb-12 prose-content md:text-lg","dangerouslySetInnerHTML":{"__html":"$26"}}],"$L27","$L28","$L29"]}],"$L2a","$L2b","$L2c"]}],"$L2d"]}],"$L2e"]}]}]
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49:T10d6,<h3>Job Title: Data Engineer</h3><h3>Duration: 6+ Months Contract </h3><h3>Location: Remote India</h3><h3>Duties And Responsibilities</h3><h3>Essential Functions:</h3><ul><li>Create and maintain optimal data pipeline architecture.</li>
<li>Assemble large, complex data sets that meet functional / non-functional business requirements.</li>
<li>Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.</li>
<li>Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.</li>
<li>Build analytics tools that utilize the data pipeline to provide actionable insights for Information Asset as well as Information Asset Customers’ operational efficiency and other key business performance metrics.</li>
<li>Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.</li>
<li>Create data tools for analytics to build and optimize offering into an industry leading solution</li>
<li>Work with data and analytics experts to strive for greater functionality data systems.</li>
</ul><h3>Position Requirements</h3><ul><li>Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.</li>
<li>Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.</li>
<li>Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.</li>
<li>Strong analytic skills related to working with unstructured datasets.</li>
<li>Build processes supporting data transformation, data structures, metadata, dependency and workload management.</li>
<li>A successful history of manipulating, processing and extracting value from large, disconnected datasets.</li>
<li>Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.</li>
<li>Strong project management and organizational skills.</li>
<li>Excellent writing and verbal communication skills and a high level of customer orientation</li>
</ul><h3>Working Environment/Travel Requirements</h3><p>This is a remote working position and you will be expected to work out of a home office with high speed internet and phone connection to enable seamless virtual presence.</p><h3>Qualifications</h3><h3>Required Education and Experience:</h3><ul><li>Bachelor’s degree in computer science or information technology, or equivalent work experience.</li>
</ul><h3>·         3+ years as a Data Engineer.</h3><ul><li>Data engineering certification (e.g. IBM Certified Data Engineer, AWS Certified Data Analytics - Specialty) is a plus.</li>
<li>Must have technical expertise with data models, data mining, and segmentation techniques.</li>
<li>Experience using any of all of a combination of the following software/tools: • Relational SQL and NoSQL databases, including Postgres and Cassandra.</li>
<li>Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.</li>
<li>Data Storage Technologies like Amazon S3, Snowflake/Redshift, Hive, HDFS</li>
<li>Stream-processing systems: Storm, Spark-Streaming, etc.</li>
<li>Object-oriented/object function scripting languages: Python/ pySpark, Java, C++, Scala, etc.</li>
<li>Data warehousing using Oracle/Snowflake.</li>
<li>ETL Technologies like -Apache Spark/AWS Glue/ Databricks, Apache Airflow, Apache Hadoop.</li>
<li>Experience supporting and working with cross-functional teams in a dynamic environment.</li>
</ul><h3>Regards,</h3><h3>Nick Arthur (Nizam)</h3><h3>Associate Director, Recruitment </h3><h3><a href="https://himalayas.app/companies/pull-skil">Pull Skil</a>l Technologies India.</h3><h3>+91 7416706136</h3><p><strong>LinkedIn: </strong><strong>linkedin.com/in/nick-arthur-83937b62</strong></p><h3>Any</h3><p>All your information will be kept confidential according to EEO guidelines.</p><h3><a href="https://himalayas.app/companies/pull-skil">Pull Skil</a>l Technologies India</h3>1a:["$","div",null,{"className":"fixed bottom-0 left-0 right-0 z-50 bg-nav p-4 shadow-navigation-top backdrop-blur-xl backdrop-saturate-150 xl:hidden","children":["$","div",null,{"className":"flex items-stretch gap-x-4","children":[["$","$L20",null,{"displayType":"button","companySlug":"pull-skil","jobSlug":"data-engineer","jobGuid":"https://himalayas.app/companies/pull-skil/jobs/data-engineer"}],["$","$L48",null,{"job":{"id":1779135,"slug":"data-engineer","title":"Data Engineer","employmentType":"Contractor","minSalary":null,"maxSalary":null,"currency":null,"salaryPeriod":"annual","locationRestrictions":"$11:props:children:3:props:children:3:props:jobLocationRestrictions","timezoneRestrictions":[5.5],"updatedAt":1781556483,"createdAt":1781488987,"paymentDate":1781556483,"isStickied":false,"parentCategories":["Data Science","Developer"],"categories":["Data-Engineer","Big-Data-Engineer","Data-Warehousing","ETL-Developer","Cloud-Data-Engineer","Data-Engineering","Data-Engineering-Specialist","AI-Data-Engineer","Data-Engineering-Positions"],"skills":["SQL","AWS","Python","Java","Scala","Apache-Spark","Apache-Hadoop","Airflow","Amazon-S3","Snowflake","Redshift","Postgres","Cassandra","Hive","ETL","NoSQL","HDFS","Pyspark","Apache-Airflow","Databricks","AWS-Glue","Azkaban","Dynamic","Hadoop","Luigi","Root-Cause","-Remote"],"guid":"https://himalayas.app/companies/pull-skil/jobs/data-engineer","expiryDate":1786740483,"source":"himalayas","draft":false,"seniority":["Senior"],"timezoneRestrictionDetails":[{"city":"India","type":"country","timeZone":"IN","plusMinus":0}],"excerpt":"Job Title: Data EngineerDuration: 6+ Months Contract Location: Remote IndiaDuties And ResponsibilitiesEssential Functions:• Create and maintain optimal data pipeline architecture.","image":"https://og-images-v2.himalayas.app/api/company?text=Remote%20Data%20Engineer%20at%20Pull%20Skil&companyLogo=https://cdn-images.himalayas.app/pwq6ckyx4b3737bmzdt6ipofd4xq&buttonText=Apply%20now&category=&skills=SQL%2CAWS%2CPython%2CJava%2CScala%2CApache%20Spark%2CApache%20Hadoop%2CAirflow%2CAmazon%20S3%2CSnowflake&companyUrl=pullskill.com&countryString=%20only&countryCodes=IN","description":"$49","applicationLink":"$undefined","screeningQuestions":[],"educationRequirementStatus":"required","educationCredentialCategories":["bachelor degree"],"experienceRequirementStatus":"required","minimumExperienceMonths":36,"experienceInPlaceOfEducation":true,"company":{"name":"Pull Skil","slug":"pull-skil","employeeRange":"51-200","stacksCount":0,"benefitsCount":0,"salaryCount":0,"isVerified":false,"hasFourDayWeek":false,"logo":"https://cdn-images.himalayas.app/pwq6ckyx4b3737bmzdt6ipofd4xq","internalLink":"https://himalayas.app/companies/pull-skil","externalLink":"https://pullskill.com?utm_source=himalayas.app&utm_medium=himalayas.app&utm_campaign=himalayas.app&ref=himalayas.app&source=himalayas.app","guid":"https://himalayas.app/companies/pull-skil"}},"className":"w-full flex-grow","showModal":false}]]}]}]
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8f:["$","$L21","AWS-Glue",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/aws-glue","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"AWS Glue"}]]}]
90:["$","$L21","Azkaban",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/azkaban","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Azkaban"}]]}]
91:["$","$L21","Dynamic",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/dynamic","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Dynamic"}]]}]
92:["$","$L21","Hadoop",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/hadoop","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Hadoop"}]]}]
93:["$","$L21","Luigi",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/luigi","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Luigi"}]]}]
94:["$","$L21","Root-Cause",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/root-cause","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Root Cause"}]]}]
95:["$","$L21","-Remote",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/-remote","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":" Remote"}]]}]
96:["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}]
97:["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Snowflake"}]
98:["$","$L21","Redshift",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/redshift","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Redshift"}]]}]
99:["$","$L21","Postgres",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/postgres","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Postgres"}]]}]
9a:["$","$L21","Cassandra",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/cassandra","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Cassandra"}]]}]
9b:["$","$L21","Hive",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/hive","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Hive"}]]}]
9c:["$","$L21","ETL",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/etl","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"ETL"}]]}]
9d:["$","$L21","NoSQL",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/nosql","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"NoSQL"}]]}]
9e:["$","$L21","HDFS",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/hdfs","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"HDFS"}]]}]
9f:["$","$L21","Pyspark",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/pyspark","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Pyspark"}]]}]
a0:["$","$L21","Apache-Airflow",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/apache-airflow","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Apache Airflow"}]]}]
a1:["$","$L21","Databricks",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/databricks","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Databricks"}]]}]
a2:["$","$L21","AWS-Glue",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/aws-glue","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"AWS Glue"}]]}]
a3:["$","$L21","Azkaban",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/azkaban","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Azkaban"}]]}]
a4:["$","$L21","Dynamic",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/dynamic","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Dynamic"}]]}]
a5:["$","$L21","Hadoop",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/hadoop","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Hadoop"}]]}]
a6:["$","$L21","Luigi",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/luigi","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Luigi"}]]}]
a7:["$","$L21","Root-Cause",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/root-cause","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":"Root Cause"}]]}]
a8:["$","$L21","-Remote",{"className":"inline-flex items-center border rounded-md font-medium h-max text-xs px-2 py-0.5 w-max hover:bg-gray-50","href":"/jobs/-remote","prefetch":false,"children":[["$","span",null,{"ref":"$undefined","className":"inline-block shrink-0 rounded-full bg-clip-content size-2 p-px -ml-0.5 mr-1 bg-primary-500"}],["$","span",null,{"className":"max-w-[9rem] truncate ","children":" Remote"}]]}]
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