Python 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 specializing in accounting and financial advisory. They are known for their commitment to excellence and innovation, providing high-impact solutions to a diverse range of international clients. The organization fosters a collaborative culture that prioritizes professional growth and the adoption of cutting-edge cloud technologies.
About the role.
We are seeking a skilled Python Data Engineer to join our team in Mumbai. In this hybrid role, you will be responsible for designing, building, and maintaining scalable data pipelines and cloud-native data warehousing solutions. You will work closely with cross-functional teams to optimize data architecture and ensure the seamless integration of complex data systems.
What you will do.
- Design and develop robust ETL/ELT pipelines to process large-scale datasets.
- Build and maintain scalable data warehousing solutions using cloud-native technologies.
- Implement data modeling best practices to support analytical and reporting requirements.
- Develop and integrate REST APIs to facilitate seamless data flow between systems.
- Optimize AWS infrastructure components including Lambda, Glue, and S3 for performance and cost-efficiency.
- Collaborate with engineering teams to automate workflows using tools like Airflow and Terraform.
- Ensure data quality and security through rigorous testing and IAM policy management.
- Monitor and troubleshoot data platform performance using CloudWatch.
What you bring.
- 4–7 years of professional experience in data engineering or a related field.
- Strong proficiency in Python and SQL.
- Hands-on experience with AWS services such as Lambda, Glue, S3, CloudWatch, and IAM.
- Proven expertise in ETL/ELT development and data modeling.
- Experience with Snowflake and PySpark is highly preferred.
- Familiarity with containerization tools like Docker and Kubernetes.
- Knowledge of infrastructure-as-code tools like Terraform.
- Prior experience in the healthcare domain is considered a significant advantage.
- Ability to work effectively in a hybrid environment based in Mumbai.
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