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Role : AWS Data Engineer Location : Bangalore, Delhi (Hybrid) Mandatory Skills : AWS (S3, Redshift, Glue, Lambda, EMR), Python, Spark & Data Engineering Job Description : We are looking for an AWS Data Engineer with strong experience in building scalable data pipelines and working with cloud-based data platforms. The ideal candidate should have hands-on experience in AWS services, SQL, and Python. Key Responsibilities : - Design, build, and maintain scalable data pipelines on AWS - Work with large datasets for ETL/ELT processes - Develop and optimize data models and data architecture - Collaborate with analytics and business teams for data solutions - Ensure data quality, governance, and performance tuning Required Skills : - Strong experience in Python and SQL - Hands-on with AWS services like S3, Redshift, Glue, Lambda, EMR - Experience with ETL tools and data pipelines - Knowledge of data warehousing concepts - Experience with Airflow / scheduling tools - Good understanding of big data technologies (Spark, Hadoop) (ref:hirist.tech) Role : AWS Data Engineer Location : Bangalore, Delhi (Hybrid) Mandatory Skills : AWS (S3, Redshift, Glue, Lambda, EMR), Python, Spark & Data Engineering Job Description : We are looking for an AWS Data Engineer with strong experience in building scalable data pipelines and working with cloud-based data platforms. The ideal candidate should have hands-on experience in AWS services, SQL, and Python. Key Responsibilities : - Design, build, and maintain scalable data pipelines on AWS - Work with large datasets for ETL/ELT processes - Develop and optimize data models and data architecture - Collaborate with analytics and business teams for data solutions - Ensure data quality, governance, and performance tuning Required Skills : - Strong experience in Python and SQL - Hands-on with AWS services like S3, Redshift, Glue, Lambda, EMR - Experience with ETL tools and data pipelines - Knowledge of data warehousing concepts - Experience with Airflow / scheduling tools - Good understanding of big data technologies (Spark, Hadoop) (ref:hirist.tech)
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