Required skills:
5+ years of experience in Data Engineering, Python development, or a related role.
Solid hands-on expertise in Python, particularly for , Data wrangling and transformation, ETL/ELT development, File and data processing, Automation and scripting, Data validation and cleansing.
Strong knowledge of at least one relational SQL database such as: PostgreSQL, MySQL, Oracle, SQL Server
Solid understanding of SQL, including joins, subqueries, CTEs, window functions, aggregations, and query optimization.
Experience with AWS cloud services used in data engineering.
Good understanding of data engineering concepts, including data pipelines, ETL architecture, data quality, and data integration.

Positive to have skills:
Hands-on experience with PySpark and distributed data processing.




Experience with NoSQL databases such as DynamoDB, or Cassandra.
Experience with AWS services such as S3, Lambda, Glue, Athena, Redshift, EMR, RDS, Step Functions, Event Bridge, and CloudWatch.
Experience with workflow orchestration tools such as Apache Airflow or AWS Step Functions.
Experience with Docker and containerized applications.
Familiarity with CI/CD pipelines and DevOps practices.
Knowledge of data warehousing and dimensional data modeling.
Experience working with large-scale datasets and performance optimization.
Familiarity with cloud-based data lake and data warehouse architectures.

📌 Data Engineer Python Bengaluru
🏢 Bahwan Cybertek
📍 Bengaluru