Role: Senior Data Engineer
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Analytics - Other
UG: Any Graduate
Job Description:
- Proven experience as a Data Engineer (typically 6-12 years, depending on level).
- Strong hands-on experience with Python for data engineering tasks.
- Proficiency in SQL (writing complex queries, performance tuning).
- Strong expertise in PySpark and Databricks.
- Hands-on experience working in AWS cloud environment (S3, Glue, EMR, Redshift, Lambda, etc.).
- Experience with data pipeline orchestration tools (e.g., Airflow, AWS Step Functions).
- Solid understanding of data modelling, warehousing, and ETL/ELT concepts.
- Knowledge of version control systems (Git) and CI/CD practices.
- Excellent problem-solving and communication skills
Note-Shortlisted candidates will have F2F for technical round