Develop and optimize ETL/ELT pipelines using Informatica, Teradata, Hadoop, Spark, and related technologies. Build data warehouse and data mart solutions, automate workflows with shell scripts and BTEQ, create Java-based CDC frameworks for SAP and Oracle data, and implement configurable ingestion processes. Install and develop MDM applications with data validation and approval workflows. Tune complex applications to improve performance and reduce resource consumption.
- Strong hands‑on experience with the ETL(Informatica
Power Center) and Teradata based ETL development, similarly Hadoop
ecosystem (Hive, Impala, Spark, Kafka, Iceberg, Ranger, Atlas, Nifi, Flink
etc.,), and data pipeline orchestration.
- Create EDW ETL/ELT codes using Teradata SQL,
Informatica, apache Spark, QueryGrid, Trino to perform various
transformation and load into Teradata based data warehouse or datamarts
- Performance tuning of highly complex applications to
reduce resource usage
- Create framework using GCFR, shell scripts, BTEQ and
shell scripts to automate end to end. Also to integrate with control
- Build in-house CDC framework using Java to process OLR
logs from SAP(Oracle) and ingestion the data into Teradata. Create
framework around this CDC ingestion to make it configurable
- Install and build Master Data Management(MDM)
application for various user uploads along with data validations and
approval workflow
Technopals Pte.Ltd. Singapore Office
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The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
