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 provider of data analytics and digital operations solutions within the computer software industry. They are known for driving innovation and delivering scalable, technology-led business outcomes for a diverse range of global enterprises. The company fosters a collaborative, high-performance culture that encourages professional growth and technical excellence.
About the role.
We are seeking a skilled Data Engineer to join our client's dynamic team to design, build, and maintain robust data pipelines. You will be responsible for processing large-scale datasets to support advanced analytics and business intelligence initiatives. This role offers the opportunity to work in a hybrid environment, leveraging modern cloud technologies to solve complex data challenges.
What you will do.
- Design and implement scalable data pipelines to ingest and process large volumes of data.
- Optimize existing ETL workflows to improve performance and reliability.
- Collaborate with cross-functional teams to support analytics-driven business solutions.
- Maintain and monitor data infrastructure to ensure high availability and data quality.
- Develop and maintain documentation for data architecture and pipeline processes.
- Troubleshoot and resolve data-related issues in production environments.
- Implement best practices for data security and governance.
What you bring.
- 5–7 years of professional experience in data engineering or a related field.
- Strong proficiency in Python and SQL.
- Hands-on experience with PySpark for large-scale data processing.
- Solid understanding of the Hadoop ecosystem, including Hive and Oozie.
- Working knowledge of AWS cloud services.
- Proven experience in building and managing complex ETL processes.
- Familiarity with Databricks, DBT, or Dagster is highly desirable.
- Experience with Linux/Unix environments and data warehousing concepts.
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