Senior data Engineer

Contributes to the development of new analytics tool, software, and approaches, including the design, development, troubleshooting and debugging.

. Ongoing maintenance, update and support of the existing programming and analytic tools

. Develop, implement and maintain server and database infrastructure, hardware and software to ensure maximum tool uptime and performance.

. Execute end-to-end data processing workflows, ensuring data is accurately ingested, cleaned and structured across corporate systems.

. Manage and monitor data flows between current and future infrastructure components to maintain data integrity and consistency.

. Analyze processed data to uncover trends, patterns and operational performance metrics using statistical techniques.

. Exercises significant independent judgment to determine best method for accomplishing work and achieving objectives

. Leads and /or provides expertise to functional project teams and may participate in cross-functional initiatives.

The requirements:

. 5 years of hands-on experience in data engineering and analytics

. Strong skills in statistical tools and programming languages such as Python, R, etc.

. Experience with data analysis / visualization tools and software like Power BI, Looker, Databricks etc.

. Proficiency in SQL for data extraction and manipulation.

. Attention to detail and a commitment to data accuracy.

. Proactive approach to identifying issues and providing solutions.

. Strong analytical and problem-solving skills. Ability to analyze complex datasets and translate data into actionable insights.

. Ability to present complex information in an understandable and compelling manner.

. Excellent written and verbal communication skills

. Ability to work independently and collaboratively as part of team