Job Description :

- Team & Resource Management : Decide how to use the data engineering teams time, hire and guide new team members, and train them.

- Set Standards : Create and enforce rules/best practices so that everyones work is consistent and high quality.

- Review Work : Check code and solutions built by others to ensure accuracy.

- Build Frameworks : Design strong, reliable systems for collecting, storing, cleaning, and managing data.

- Improve Systems : Continuously upgrade the data platform to make it faster, more secure, and more efficient.

- Try New Tools : Explore and test new technologies that can improve data engineering.

- Vendor Collaboration : Work with external software providers to make sure their tools suit the companys needs.

- Problem Solving : Work with business leaders to find and solve data-related problems.

Skills & Qualifications Needed :

- Education : Bachelors in Computer Science/IT/related field (Masters preferred).

- Experience : At least 6+ years in data engineering or architecture, and experience leading teams.

Tech Skills :

- Strong in Python and SQL.

- Knowledge of cloud platforms (Azure preferred, but AWS/GCP also okay).

- Experience with data warehouses like Snowflake or BigQuery.

- Familiarity with BI tools (Tableau, Power BI, Looker, etc.).

- Knowledge of databases (relational, NoSQL, BigData).

- Exposure to AI/ML/data science is a plus.

Ways of Working : Comfortable with Agile and DevOps/DataOps practices.