AWS Senior Data Engineer

As an AWS Senior Data Engineer at our company, you will play a crucial role in building scalable data solutions on the AWS cloud platform. Your responsibilities will include designing, developing, and maintaining data pipelines and ETL processes using AWS services such as Glue, Lambda, and Redshift. You will be optimizing data storage, transformation, and retrieval processes for high performance and scalability. Collaborating with business and analytics teams to deliver reliable, production-ready data solutions will be a key aspect of your role. Additionally, you will implement best practices in data modeling, governance, and security, as well as troubleshoot and resolve performance bottlenecks in data systems. Key Responsibilities: - Design, develop, and maintain data pipelines and ETL processes using AWS services (Glue, Lambda, Redshift). - Optimize data storage, transformation, and retrieval processes for high performance and scalability. - Write efficient queries and transformations using SQL and Python/PySpark. - Collaborate with business and analytics teams to deliver reliable, production-ready data solutions. - Implement best practices in data modeling, governance, and security. - Troubleshoot and resolve performance bottlenecks in data systems. Qualifications Required: - Hands-on experience with AWS Cloud services: Redshift, Glue, Lambda. - Strong knowledge of SQL and Python/PySpark. - Experience in designing and maintaining large-scale data pipelines. In addition to the above, it is good to have experience with Snowflake and exposure to DBT (Data Build Tool). Please note that the interview process includes 3 rounds, with a face-to-face mode preferred. The drive date is scheduled for 20th September 2025. Candidates with a notice period allowing them to join between 6th and 10th October 2025 will be considered. The work mode is hybrid, with 4 days in the office in Gurgaon.,