AWS Data Engineer - ETL/Python

Key Responsibilities Design and develop robust ETL/ELT pipelines using Python and AWS Glue / Lambda Work with AWS services such as S3, Athena, Redshift, Glue, Step Functions, and CloudWatch Build and maintain data integration processes between internal and external data sources Optimize data pipelines for performance, scalability, and reliability Implement data quality checks and monitoring Collaborate with data analysts, engineers, and product teams to meet data requirements Maintain proper documentation and ensure best practices in data engineering Work with structured and semi-structured data formats (JSON, Parquet, Skills : 46 years of experience as a Data Engineer Strong programming skills in Python (Pandas, Boto3, PySpark) Proficient in SQL and performance tuning Hands-on experience with AWS services : S3, Glue, Lambda, Athena, Redshift, Step Functions, CloudWatch Experience working with Databricks or EMR is a plus Experience in data lake and data warehouse concepts Familiar with version control systems like Git Knowledge of CI/CD pipelines and workflow tools (Airflow is a plus) (ref:hirist.tech) Show more Show less