Data Engineer
Core
Designing, building, and optimizing enterprise data pipelines and warehouses using Informatica, Teradata, and the Hadoop ecosystem.
Role type
Senior Data Engineer (ETL/ELT & Data Platform)
Builds
Enterprise Data Warehouses (Teradata), Data Marts, and In-house CDC frameworks
Domain
Enterprise Data Engineering, Data Integration, Master Data Management (MDM)
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
ETL/ELT development, Informatica Power Center, Teradata SQL, Apache Spark, Data Pipeline Orchestration, Performance Tuning, CDC implementation, Java, Shell scripting, MDM application configuration
Preferred skills
Experience with Hadoop ecosystem (Hive, Impala, Kafka, Iceberg, Flink, Nifi, Ranger, Atlas), QueryGrid, Trino, GCFR
Technologies
Informatica Power Center, Teradata, Apache Spark, Hive, Impala, Kafka, Iceberg, Ranger, Atlas, Nifi, Flink, QueryGrid, Trino, GCFR, Java, Shell scripts, BTEQ, SAP, Oracle
Responsibilities
Create EDW ETL/ELT codes using Teradata SQL, Informatica, and Apache Spark; Perform performance tuning of complex applications; Build automated frameworks using GCFR, shell scripts, and BTEQ; Develop in-house CDC frameworks using Java to process logs from SAP/Oracle; Install and build Master Data Management (MDM) applications with validation workflows.
