Senior Hadoop 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 global leader in the computer software industry, known for delivering innovative data-driven solutions. They foster a collaborative and fast-paced environment that encourages technical excellence and continuous professional growth. With a strong focus on modernizing data infrastructure, they are currently expanding their engineering team to support large-scale digital transformation initiatives.
About the role.
We are seeking a highly skilled Senior Data Engineer to join our client's team in Bangalore. In this hybrid role, you will be responsible for designing and maintaining robust data pipelines while leveraging modern cloud and big data frameworks. You will work closely with cross-functional teams to optimize data processing performance and deliver scalable solutions that drive business value.
What you will do.
- Design, develop, and maintain scalable data pipelines to support complex business requirements.
- Build and manage efficient ETL/ELT processes for both structured and unstructured data.
- Integrate big data and distributed processing endpoints with modern data warehouse architectures.
- Collaborate effectively with Data Analysts, Data Scientists, and business stakeholders to deliver high-impact data solutions.
- Troubleshoot and resolve production workflow issues to ensure high availability.
- Optimize data processing performance and resource utilization across distributed systems.
What you bring.
- 8–12 years of professional experience in data engineering or a related field.
- Strong proficiency in Python and PySpark for large-scale data processing.
- Advanced SQL skills for complex data manipulation and analysis.
- Hands-on experience with cloud platforms such as AWS (S3, Glue, Redshift, EMR) or Azure (ADF, Databricks).
- Solid understanding of big data technologies including Hadoop, Hive, and HDFS.
- Proven ability to work in a hybrid environment and manage distributed computing frameworks.
- Strong analytical and problem-solving skills with a focus on performance optimization.
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