Note : If screened-in, you will be invited for initial rounds on 28th November 2026 (Saturday) in Hyderabad.Job Description :We are looking for an experienced Data Engineer with strong hands-on expertise in Python, SQL, and AWS to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate should have experience in data warehousing, data modeling, ETL/ELT processes, and cloud data architecture.Roles and Responsibilities :- Design, develop, and maintain scalable data pipelines and data warehouse solutions.- Develop and optimize data processing workflows using Python and SQL.- Build and manage cloud-based data solutions using AWS services.- Implement and maintain ETL/ELT pipelines for data integration and transformation.- Work on data modeling, database design, and performance optimization.- Monitor, troubleshoot, and improve data workflows and cloud infrastructure.- Implement best practices for data governance, security, data quality,
and performance.- Collaborate with cross-functional teams to deliver reliable and scalable data solutions.Mandatory Skills :- 4 - 7 years of experience in Data Engineering.- Solid hands-on experience in Python and SQL.- Experience working with AWS services.- Experience building and maintaining data pipelines and data warehouses.- Strong understanding of data modeling and database concepts.- Knowledge of cloud-based data architectures and best practices.- Good problem-solving and analytical skills.Preferred Skills :- Experience with Apache Airflow or similar workflow orchestration tools.- Exposure to Apache Spark / PySpark.- Experience with CI/CD pipelines and DevOps practices.- Understanding of ETL/ELT processes and data integration frameworks.- Familiarity with cloud-based data engineering best practices. (ref:hirist.tech)