DATAMAXIS hiring Sr. Databricks Data Engineer - I • Remote (Work from Home) | Himalayas
DATAMAXISDA

Sr. Databricks Data Engineer - I

Datamaxis, Inc. specializes in IT services, data analytics, and strategic staffing, helping organizations leverage data for competitive advantage.

DATAMAXIS

Employee count: 51-200

India only

Job Title: Databricks Data Engineer - I
Experience: 5+ years
Location: Remote
Job Type: Full-time with AB2

We are seeking an experienced Databricks Data Engineer who can play a crucial role in our Fintech data lake project.What You Bring
• 5+ years of experience working in data warehousing systems
• 3+ strong hands-on programming expertise in Databricks landscape, including SparkSQL, Workflows
• for data processing and pipeline development
• 3+ strong hands-on data transformation/ETL skills using Spark SQL, Pyspark, Unity Catalog working

• in Databricks Medallion architecture

  • 2+ yrs work experience in one of cloud platforms: Azure, AWS or GCP
    • Experience working in using Git version control, and well versed with CI/CD best practices to
    • automate the deployment and management of data pipelines and infrastructure
    • Nice to have hands-on experience building data ingestion pipelines from ERP systems (Oracle
    • Fusion preferably) to a Databricks environment, using Fivetran or any alternative data connectors
    • Experience in a fast-paced, ever-changing and growing environment
    • Understanding of metadata management, data lineage, and data glossaries is a plus
    • Must have eport development experience using PowerBI, SplashBI or any enterprise reporting toolWhat You’ll Do
    • Involve in design and development of enterprise data solutions in Databricks, from ideation to
    • deployment, ensuring robustness and scalability.
    • Work with the Data Architect to build, and maintain robust and scalable data pipeline architectures on
    • Databricks using PySpark and SQL
    • Assemble and process large, complex ERP datasets to meet diverse functional and non-functional
    • requirements.
    • Involve in continuous optimization efforts, implementing testing and tooling techniques to enhance
    • data solution quality
    • Focus on improving performance, reliability, and maintainability of data pipelines.
    • Implement and maintain PySpark and databricks SQL workflows for querying and analyzing large
    • datasets
    • Involve in release management using Git and CI/CD practices
    • Develop business reports using SplashBI reporting tool leveraging the data from Databricks gold layer.Qualifications
    • Bachelors Degree in Computer Science, Engineering, Finance or equivalent experience
    • Good communication skills

We are seeking an experienced Databricks Data Engineer who can play a crucial role in our Fintech data lake project.What You Bring
• 5+ years of experience working in data warehousing systems
• 3+ strong hands-on programming expertise in Databricks landscape, including SparkSQL, Workflows
• for data processing and pipeline development
• 3+ strong hands-on data transformation/ETL skills using Spark SQL, Pyspark, Unity Catalog working

• in Databricks Medallion architecture

  • 2+ yrs work experience in one of cloud platforms: Azure, AWS or GCP
    • Experience working in using Git version control, and well versed with CI/CD best practices to
    • automate the deployment and management of data pipelines and infrastructure
    • Nice to have hands-on experience building data ingestion pipelines from ERP systems (Oracle
    • Fusion preferably) to a Databricks environment, using Fivetran or any alternative data connectors
    • Experience in a fast-paced, ever-changing and growing environment
    • Understanding of metadata management, data lineage, and data glossaries is a plus
    • Must have eport development experience using PowerBI, SplashBI or any enterprise reporting toolWhat You’ll Do
    • Involve in design and development of enterprise data solutions in Databricks, from ideation to
    • deployment, ensuring robustness and scalability.
    • Work with the Data Architect to build, and maintain robust and scalable data pipeline architectures on
    • Databricks using PySpark and SQL
    • Assemble and process large, complex ERP datasets to meet diverse functional and non-functional
    • requirements.
    • Involve in continuous optimization efforts, implementing testing and tooling techniques to enhance
    • data solution quality
    • Focus on improving performance, reliability, and maintainability of data pipelines.
    • Implement and maintain PySpark and databricks SQL workflows for querying and analyzing large
    • datasets
    • Involve in release management using Git and CI/CD practices
    • Develop business reports using SplashBI reporting tool leveraging the data from Databricks gold layer.Qualifications
    • Bachelors Degree in Computer Science, Engineering, Finance or equivalent experience
    • Good communication skills

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

India +/- 0 hours

About DATAMAXIS

Learn more about DATAMAXIS and their company culture.

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At the heart of what we do at Datamaxis is a culture of innovation and dedication in helping our clients harness the power of data and technology. As a trusted provider in IT modernization, data analytics, and strategic staffing, we are committed to transforming complex data into actionable insights that drive competitive advantage and enhance operational efficiency. Our talented team of experts, well-versed in modern data architectures and methodologies, empowers organizations to make informed decisions, minimize risks, and achieve their business objectives.

We understand that customer satisfaction is paramount, which is why we proactively engage with our clients to identify their unique needs and provide tailored solutions. From IT consulting to cloud services and AI-driven analytics, our comprehensive offerings ensure that businesses are prepared for the challenges of the digital age. Whether it's enhancing cybersecurity measures or providing flexible staffing solutions, Datamaxis positions itself as a partner in our clients' success, prioritizing people over profits and fostering a collaborative spirit in every project. Together, we not only embrace change but drive it, ensuring our clients not only keep pace but also lead in their respective industries.

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