Cloud-native data engineering and legacy system modernization
Synechron is a 501–1,000-person engineering services firm in Pune actively migrating Hadoop/Spark/Hive workloads to Google Cloud while modernizing legacy ETL pipelines. The tech stack—spanning Python, Java, Spring Boot, PostgreSQL, Kubernetes, and mainframe platforms (COBOL, VSAM, CICS)—indicates a dual focus on contemporary cloud-native development and mission-critical systems integration. Senior-heavy hiring (7 of 11 open roles) concentrated in engineering signals accelerating demand for hands-on architects and technical leads to execute these infrastructure transitions.
Synechron Technologies is a privately held IT services firm headquartered in Pune that specializes in data engineering, cloud migration, and legacy system modernization. The company operates across enterprise data platforms (Hadoop, Spark, BigQuery, PySpark) and traditional application stacks (Java, Spring Boot, Angular, React), serving clients through portfolio migration work, ETL modernization, and data pipeline engineering. Current initiatives center on migrating on-premise Hadoop ecosystems to Google Cloud, automating portfolio processes, and scaling data processing infrastructure. The organization is concurrently investing in recruitment process improvement and talent diversification as part of internal capability-building.
Primary: Python, Java, Spring Boot, SQL, Docker, Kubernetes, AWS, Azure, Google BigQuery, PostgreSQL, MySQL. Legacy/integration: Mainframe, COBOL, VSAM, CICS. Data: PySpark, Hadoop. CI/CD: GitLab CI/CD, Jenkins, Git.
Primary focus: migration of Hadoop/Spark/Hive workloads to Google Cloud. Secondary: portfolio migration, ETL modernization, data processing pipelines, portfolio automation strategy, and functional solution documentation.
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