Python 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 professional services firm operating at the intersection of finance and technology. They are renowned for their commitment to excellence and innovation, providing high-impact solutions to a diverse range of global clients. The organization fosters a collaborative, inclusive culture that prioritizes professional growth and technical advancement.
About the role.
We are seeking a skilled Python AWS Data Engineer to join a dynamic team in Bangalore. In this hybrid role, you will be responsible for designing and maintaining robust data pipelines and cloud-native architectures. You will play a critical role in transforming complex data into actionable insights while ensuring the scalability and reliability of our data warehousing systems.
What you will do.
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
- Build and optimize cloud-native data solutions using AWS services.
- Implement efficient data modeling strategies to support complex analytical requirements.
- Integrate REST APIs to facilitate seamless data flow across systems.
- Monitor and troubleshoot data workflows to ensure high performance and data integrity.
- Collaborate with cross-functional teams to translate business requirements into technical data solutions.
- Maintain documentation for data architecture and pipeline configurations.
What you bring.
- 5–7 years of professional experience in data engineering.
- Strong proficiency in Python programming.
- Hands-on experience with AWS services including Lambda, Glue, S3, CloudWatch, and IAM.
- Advanced SQL skills and deep understanding of data warehousing concepts.
- Proven experience in developing and managing ETL/ELT workflows.
- Familiarity with data modeling techniques.
- Experience with REST API integration.
- Preferred: Experience with Snowflake, PySpark, Airflow, EMR, Kafka, Docker, Kubernetes, or Terraform.
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