OPEN ROLE — VIA SYMPHONI HR

Data Engineer.

BengaluruHybridPosted 2026-09-18

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 digital transformation and software solutions. They operate at a significant scale, helping organizations leverage data and technology to drive business outcomes. Their culture is defined by innovation, continuous learning, and a commitment to solving complex technical challenges for a diverse international client base.

About the role.

We are seeking a highly skilled Data Engineer to join a dynamic engineering team in Bengaluru. In this role, you will be responsible for designing, building, and maintaining robust data pipelines to support large-scale data processing initiatives and analytical requirements. This is a hybrid position focused on ensuring high availability and performance of critical data assets.

What you will do.

  • Develop and optimize scalable data pipelines using Python and PySpark.
  • Manage and maintain data storage solutions within Hadoop and HDFS environments.
  • Write complex SQL queries to extract, transform, and load data efficiently.
  • Collaborate with cross-functional teams to ensure data integrity and performance across Hive-based data warehouses.
  • Troubleshoot and resolve data processing bottlenecks to ensure high availability of data assets.
  • Design and implement efficient ETL workflows in a distributed computing environment.

What you bring.

  • Bachelor’s degree in Computer Science, Information Technology, or a related quantitative field.
  • Proven professional experience in Python and PySpark for big data processing.
  • Strong proficiency in SQL for data manipulation and analysis.
  • Hands-on experience working with the Hadoop ecosystem, including HDFS and Hive.
  • Strong analytical and problem-solving skills with a focus on data quality.
  • Experience with cloud-based data platforms such as AWS, Azure, or GCP is a plus.
  • Familiarity with workflow orchestration tools like Apache Airflow.
  • Knowledge of NoSQL databases and real-time streaming technologies.
Apply for this role →

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