Data Engineer

Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead efforts to optimize data workflows and improve system performance.
- Mentor junior team members to support their professional growth and skill development.
- Coordinate cross-functional initiatives to align data engineering efforts with organizational goals.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in AWS Glue, PySpark.
- Strong experience in building and managing scalable data pipelines and workflows.
- Expertise in data integration, transformation, and migration techniques.
- Familiarity with cloud-based data storage and processing solutions.
- Ability to troubleshoot and resolve complex data processing issues efficiently.
- Knowledge of best practices in data quality assurance and governance.

Additional Information:
- The candidate should have minimum 7.5 years of experience in AWS Glue.
- This position is based at our Pune office.
- A 15 years full time education is required.