Posted Apr 12, 2026
Key Responsibilities:
Qualifications Required:
5+ years of experience in Data Engineering
Strong hands-on experience with AWS, AWS Glue, AWS S3, AWS Lambda
Experience with Apache Airflow or AWS Step Functions
Experience performing data migrations from data warehouse technologies
Experience performing data migrations from RDBMS systems to AWS S3 or AWS Redshift
Strong expertise in Python and SQL
Solid understanding of ETL/ELT concepts, data partitioning, and distributed processing
Experience with version control systems such as GitLab or Bitbucket (Note: Soft Skills, Good to Have Skills, and Any additional details of the company have been omitted as they were not included in the provided Job Description) Role Overview: You will be a part of the data platform team as a Senior Data Engineer, where your primary responsibility will be to design scalable data pipelines, workflow orchestration frameworks, and large-scale data migration solutions using AWS data services. Your role will involve building cloud-native data engineering solutions on AWS, migrating datasets from legacy systems and data warehouses, and ensuring secure and efficient data processing pipelines across distributed environments. Key Responsibilities:
Design and implement scalable ETL/ELT data pipelines using AWS Glue, AWS Lambda, and AWS S3
Build and maintain high-performance data ingestion frameworks for processing large-scale datasets
Implement data pipelines for data warehousing and analytics platforms such as AWS Redshift
Develop and maintain data workflow orchestration frameworks using Apache Airflow or AWS Step Functions
Automate complex workflows including data ingestion, transformation, validation, and loading processes
Lead data migrations from legacy data warehouse technologies to AWS platforms
Perform data migration from RDBMS systems (MySQL, SQL Server, Oracle) to AWS S3 or AWS Redshift
Implement secure data pipelines using AWS security best practices
Monitor data pipelines and troubleshoot performance issues
Optimize ETL workflows for scalability, reliability, and cost efficiency
Qualifications Required:
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