<p><p></p><p><b>Role Overview : </b><br/><br/>We are seeking a highly skilled Python + ETL Engineer with strong expertise in building data pipelines, automation workflows, and scalable ETL solutions.
The ideal candidate will have hands-on experience with Python-based ETL frameworks, data ingestion pipelines, and cloud-native deployments (preferably AWS).<br/><br/>The role involves designing and developing end-to-end data solutions for ingestion, transformation, validation, and reporting, enabling analytics and business intelligence across large Responsibilities : </b></p><p><br/>- Design, develop, and maintain ETL pipelines for structured and unstructured data.</p><br/></p><p>- Build Python-based automation scripts for data ingestion, transformation, and validation.<br/><br/></p><p>- Develop and optimize data pipelines on cloud platforms (AWS preferred) using S3, Lambda, ECS, EC2, DynamoDB, and other services.<br/><br/></p><p>- Work with databases (MySQL, SQL Server, PL/SQL) for data extraction, transformation, and loading.<br/><br/></p><p>- Implement rule-based data validation and ensure high-quality, reliable data flows.<br/><br/></p><p>- Collaborate with cross-functional teams to deliver data-driven solutions, dashboards, and reporting tools.<br/><br/></p><p>- Support deployment through CI/CD pipelines (Docker, AWS CodeBuild/ECS) for seamless production rollout.<br/><br/></p><p>- Ensure scalability, performance, and security of data workflows.<br/><br/><b>Required Skills & Experience : </b></p><p><br/></p><p>- 5+ years of experience in Python development with focus on data processing & ETL pipelines.<br/><br/></p><p>- Strong knowledge of Python libraries (Pandas, NumPy, Scikit-learn, TensorFlow preferred).<br/><br/></p><p>- Proven experience in ETL development (Python-based or cloud-native pipelines).<br/><br/></p><p>- Proficiency in SQL (MySQL, PL/SQL, SQL Server) for data operations.<br/><br/></p><p>- Hands-on experience with AWS services (S3, Lambda, ECS, EC2, DynamoDB, CloudWatch).<br/><br/></p><p>- Exposure to automation, data validation, and anomaly detection.<br/><br/></p><p>- Strong analytical and problem-solving skills.<br/><br/></p><p>- Ability to work in Agile environments and deliver sprint-based to Have : </b></p><p><br/></p><p>- Experience with traditional ETL tools (Informatica, Talend, SSIS).</p><p><br/></p>- Exposure to data visualization/dashboarding tools.<br/><br/></p><p>- Knowledge of containerization (Docker, Join Us?</b></p><p><br/>- Opportunity to work on cloud-first, modern ETL pipelines.</p><br/></p><p>- Exposure to end-to-end data engineering workflows from ingestion to reporting.<br/><br/></p><p>- Collaborative and innovative work culture with room for creativity.</p><p></p><br/></p> (ref:hirist.tech)