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, Singapore, SGP Office
Singapore, Singapore
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.
Top Skills:
Ai GovernanceAiqasAirifArtificial IntelligenceComputerized SystemsGxpImexLeanMachine LearningSix Sigma
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Operate and engineer database systems supporting manufacturing and engineering. Responsibilities include installation, upgrades, patching, access management, backups, performance tuning, monitoring, incident resolution, disaster recovery, capacity planning, reporting, automation, and business continuity. The role provides on-call support, collaborates with customers on database requirements, improves operational reliability, and evaluates emerging database technologies and AI-assisted tools.
Top Skills:
Ai-Assisted ToolsDatabase MonitoringDatabase SystemsDisaster RecoveryFailover TestingJavaLinuxMicrosoft Sql ServerOracle DatabasePowershellPythonSQLWindows
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Supports a five-month engineering project improving solid-state drive product development workflows. Responsibilities include analyzing engineering processes, developing Python scripts, SQL data pipelines, dashboards, automation solutions, and visualizations, and evaluating their effectiveness. The intern collaborates with engineering and cross-functional stakeholders to define requirements, validate solutions, document findings, and present recommendations. The role provides exposure to semiconductor manufacturing, engineering data analysis, workflow automation, and potentially AI-enabled information retrieval.
Top Skills:
Artificial IntelligenceMachine LearningPower BIPythonSQLTableauVersion Control
What you need to know about the Singapore Tech Scene
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.


.jpeg)