Data Engineer

Bahwan CyberTek · Bangalore

Source and collection record

Last observed by our collector: 8 October 2026 at 11:08 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 912686

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected role description

Required Skills & Experience Around 5 years of professional experience in Data Engineering, Python development, or a related role. Strong 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 Strong understanding of SQL, including joins, subqueries, CTEs, window functions, aggregations, and query optimization. Practical experience with AWS cloud services used in data engineering. Experience developing RESTful APIs using FastAPI. Good understanding of API concepts including HTTP methods, request/response handling, authentication, status codes, error handling, and API integration. Experience with Git/version control and standard software development practices. Good understanding of data engineering concepts, including data pipelines, ETL architecture, data quality, and data integration.< Good to Have 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, EventBridge, 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.< Technical Skills Skill Area Expected Knowledge Programming Python – Advanced Data Engineering ETL/ELT, data wrangling, transformation, validation Database SQL, Relational Databases Cloud AWS API Development FastAPI, REST APIs Big Data PySpark – Good to Have NoSQL MongoDB / DynamoDB / Cassandra – Good to Have Data Formats JSON, CSV, XML Version Control Git DevOps CI/CD, Docker – Good to Have

Collected experience requirement

5 - 7 Years