Senior 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 prominent, fast-growing global software engineering firm known for delivering innovative digital solutions. They foster a collaborative and dynamic work environment that encourages technical excellence and continuous professional growth. With a focus on cutting-edge technology, they empower their teams to solve complex challenges for a diverse international clientele.
About the role.
We are looking for a Senior Data Engineer to design, build, and optimize scalable data platforms and pipelines. You will play a critical role in developing modern data lakehouse architectures on AWS to enable advanced analytics and data-driven decision-making. This position offers the opportunity to work on high-impact projects within a hybrid work model.
What you will do.
- Design, develop, and maintain analytical data models and metrics using modern, scalable data platform technologies.
- Architect and implement robust data lakehouse solutions leveraging AWS services.
- Build, optimize, and maintain high-performance data pipelines using PySpark, Python, and AWS Glue.
- Ensure the reliability, scalability, and high performance of complex data systems.
- Collaborate with business stakeholders to translate complex requirements into effective data solutions.
- Partner with architecture and operations teams to enforce best practices, standards, and data governance.
- Monitor and troubleshoot data workflows to ensure optimal data quality and system efficiency.
- Adhere to established information security management policies and procedures.
What you bring.
- 5.5 to 8 years of professional experience in software development with a focus on analytical platform development.
- At least 3 years of hands-on experience with big data ecosystems and data platforms.
- Strong expertise in AWS EMR, AWS ECS, Step Functions, Apache Spark, PostgreSQL, DynamoDB, and Apache Iceberg.
- Proficiency in Python and Spark programming.
- Proven experience designing and implementing data lakehouse architectures on AWS.
- Hands-on experience with AWS services such as Lambda and EventBridge.
- Experience building highly scalable, low-latency data systems.
- Strong problem-solving skills and the ability to work effectively in an Agile development environment.
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