Senior Data Analytics Engineer

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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 actions, 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 Jaspersoft or similar reporting tools is preferred.

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.
• Create and maintain documentation for ETL processes and data analytics solutions.
• Create and maintain data models to support reporting and analysis needs.
• Support and troubleshoot ETL processes and resolve any issues in a timely manner.
• Perform data analysis, develop dashboards, and present actionable insights to stakeholders.