OPEN ROLE — VIA SYMPHONI HR

Data / Cloud Engineer.

PuneHybridPosted 2026-10-08

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 computer software firm specializing in high-performance data solutions for the financial services and capital markets sectors. They are known for driving digital transformation through innovative engineering and scalable technology frameworks. The organization fosters a collaborative, agile culture that encourages technical excellence and professional growth.

About the role.

This role involves designing and building scalable data integration solutions for Master Data Management and reference data platforms. You will develop high-performance data pipelines, APIs, and cloud-based processing frameworks to support enterprise-scale data ingestion and transformation. The position requires a strong focus on optimizing data workflows and ensuring robust performance in a hybrid work environment.

What you will do.

  • Design, build, and unit test applications using the Spark framework and Python.
  • Develop and maintain data pipelines to load and export data to and from Master Data Management platforms.
  • Build ingestion pipelines to load data into in-memory caching databases like Redis and Valkey.
  • Design and build Data APIs to facilitate interaction with various data consumers.
  • Optimize Spark application performance by configuring Spark Context, Spark-SQL, and DataFrames.
  • Create and maintain integration and regression testing frameworks using Jenkins, BitBucket, and GIT.
  • Collaborate with onsite and offshore teams to deliver high-quality technical documentation and artifacts.
  • Participate in agile development processes, including scrum meetings and production deployments.

What you bring.

  • Bachelor’s degree in Computer Science, Statistics, or Econometrics.
  • 8+ years of experience in data engineering with at least 4 years focused on PySpark-based applications.
  • Proficiency in Python core programming and libraries such as pandas, requests, json, flask, and pickle.
  • Hands-on experience with Redis, Valkey, OpenSearch, and complex SQL query development.
  • Experience with MDM implementations using tools like Informatica PowerCenter, TIBCO, or GoldenSource.
  • Strong expertise in AWS services including Glue ETL and Lambda functions.
  • Ability to generate and parse XML and JSON documents and work with REST APIs.
  • Excellent communication skills with a strong solution-oriented mindset.
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