Data / Cloud 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 computer software and data analytics solutions. They specialize in delivering high-impact digital transformation and master data management services to Fortune 500 organizations across the financial services and capital markets sectors.
About the role.
We are seeking a highly skilled Data / Cloud Engineer to join a fast-paced, high-visibility initiative focused on financial master and reference data management. You will design, build, and optimize complex data pipelines and cloud-based solutions that integrate critical internal and external data sources to provide actionable analytical insights.
What you will do.
- Design, build, and unit test scalable applications using the Spark framework and Python.
- Develop ingestion pipelines to load data into relational and NoSQL databases, including Redis, Valkey, and OpenSearch.
- Build and maintain data pipelines for Master Data Management (MDM) and Reference Data Management (RDM) platforms.
- Optimize performance of Spark applications through advanced configuration of Spark Context, Spark-SQL, and DataFrames.
- Create and maintain integration and regression testing frameworks using Jenkins, BitBucket, and GIT.
- Design and build robust Data APIs to facilitate interaction with data consumers.
- Collaborate with cross-functional teams in an agile environment to resolve complex data-driven scenarios and production issues.
- Develop and review technical documentation for all delivered artifacts.
What you bring.
- Bachelor’s degree in Computer Science, Statistics, Econometrics, or a related field.
- 8+ years of professional experience with at least 4 years focused on designing and deploying PySpark-based applications.
- Expertise in Python core programming and libraries such as pandas, requests, json, flask, and pickle.
- Hands-on experience with NoSQL databases including Redis, Valkey, and OpenSearch.
- Proficiency in building data pipelines using Informatica PowerCenter or similar MDM/RDM platforms.
- Strong ability to write complex SQL queries and manage large-scale data imports/exports.
- Experience building cloud-native solutions using AWS Glue and AWS Lambda.
- Proven ability to work in ambiguous environments and lead technical resolutions.
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