Senior Data Analytics Engineer

Position Overview:

As a Senior ETL Operations and Data Analytics Engineer, you will play a crucial role in our data-driven decision-making process. You will be responsible for designing, implementing, and maintaining ETL processes, ensuring data accuracy, and providing valuable insights to drive business growth.

Key Responsibilities:

• Design, develop, and maintain ETL processes to extract, transform, and load data from various sources.
• Monitor and optimize ETL workflows to ensure data quality and performance.
• Collaborate with cross-functional teams to gather and understand data requirements.
• Optimize and tune ETL processes for performance and scalability.
• Create and maintain documentation for ETL processes and data analytics solutions.
• Create and maintain data models to support reporting and analysis needs.
• Utilize expert knowledge of Go, Python, SQL, git, JSON, YAML, CSV, and MS Excel
• Working knowledge and experience with Ruby, Bash, Argo CD/Workflow, Kubernetes (K8s), containers, GitHub actions, Linux, and AWS to enhance data operations.
• Collaborate with DevOps teams to deploy ETL solutions efficiently in a Kubernetes environment using CI/CD pipelines.
• Support and troubleshoot ETL processes and resolve any issues in a timely manner.
• Perform data analysis, develop dashboards, and present actionable insights to stakeholders.

Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Minimum of 10 years of experience in ETL operations, Systems Operations, and Data Analytics.
• Expert knowledge of SQL, git, various data formats (JSON, YAML, csv), and MS Excel.
• Expert Python and Bash skills including OO techniques.
• Proficiency in Ruby, Go, and other languages is a plus.
• Familiarity with Argo CD/Workflow, Kubernetes (K8s), containers, GitHub ac0ons, Linux, and AWS is highly desirable.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Strong proficiency in SQL and experience with MySQL or similar relational databases.
• Must be able to interact with databases using raw-SQL.
• Solid understanding of data modeling concepts and techniques.
• Experience with Jaspersob or similar reporting tools is preferred.

Desired:

• Familiarity with ELK (Elasticsearch, Logstash, Kibana) or OpenSearch for advanced log and data analysis
• Familiarity with Jasper Reports and BIRT
• Familiarity with Apache Kafka for real-time data streaming and event-driven architectures
• Experience with relational databases such as PostgreSQL and MySQL for handling structured data
• Knowledge of Druid, an open-source analytics data store, and its integration into data pipelines
• Proficiency in Apache Superset for creating interactive and insightful data visualizations

Benefits

• Health Care Plan (Medical, Dental Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary ADD)
• Paid Time Off (Vacation, Sick Public Holidays)
• Short Term Long Term Disability
• Training Development
• Work From Home