AWS Data Engineer.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global software and technology services provider serving enterprises across multiple industries. They are known for building data-driven solutions at scale and for a collaborative, fast-paced culture that values innovation and continuous learning.
About the role.
The AWS Data Engineer will design, develop, and maintain scalable data engineering solutions on AWS. You will build and optimize ETL/ELT pipelines for data ingestion and transformation, and partner with BI, AI/ML, and infrastructure teams to deliver a reliable data platform. The role is based in Bengaluru and follows a work-from-office model.
What you will do.
- Design, develop, and optimize scalable ETL/ELT pipelines for data ingestion and transformation.
- Build and maintain robust data pipelines using AWS cloud services.
- Partner with BI, AI/ML, and infrastructure teams to deliver reliable and scalable data platform solutions.
- Develop efficient SQL queries and Python scripts for data processing, automation, and analytics.
- Create and maintain technical documentation, including solution designs, data flow diagrams, and operational guides.
- Write comprehensive unit tests and perform code reviews to ensure high-quality, maintainable code.
- Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and reliability.
- Follow coding standards, best practices, and data governance guidelines.
What you bring.
- 3–5 years of hands-on experience in data engineering, with strong ETL/ELT pipeline design and development.
- Proficiency in SQL and Python programming.
- Hands-on experience with AWS services including Amazon Redshift, AWS Lambda, Amazon S3, AWS IAM, and Amazon CloudWatch; AWS Glue is preferred.
- Understanding of data warehousing concepts and dimensional data modeling.
- Experience with version control (Git), unit testing, and software development best practices.
- Experience with workflow orchestration tools such as Apache Airflow (preferred).
- Strong analytical, problem-solving, and debugging skills with excellent communication and documentation abilities.
- Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience.
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