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