- 6+ years of experience working with enterprise data platforms, building and managing data lakes and using big data technologies
- 5+ years of experience working with relational and non-relational / NoSQL databases, advanced knowledge of SQL
- 4+ years of experience working with AWS platform. Experience with solutioning on AWS infrastructure using services like AWS IAM, S3, API Gateway, Lambda, Glue, Lake formation, Redshift, DynamoDB, RDS
- 4+ years of experience with using Python for data engineering and developing high performance and scalable data pipeline
- 2+ years of experience working with Apache Airflow for orchestrating analytics workload
- 2+ years of experience with IaC solutions like terraform, cloud formation
- Preference to candidates with MLOps experience and exposure to executing ML/AI use cases in AWS cloud utilizing services like Sagemaker, Bedrock
- Solid understanding of concepts around data warehousing, BI, data security, data quality and profiling
- Prior experience with traditional ETL tools like Talend Open Studio, Informatica, Pentaho or something similar
- Cloud DevOps experience utilizing products like Gitlab, Bitbucket or similar ones
- Prior experience with AWS EKS service, setting up and managing kubernetes clusters and services is preferred
- Have to be a team player and open to working with newer technologies as well as supporting legacy systems
📌 Senior Data Engineer (Hyderabad)
🏢 Procorp Systems
📍 Hyderabad
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