Data Engineer is responsible for the helping map and model data from various source systems into the DSP platform. Specifically, understanding how to model all data structures according to BIAN framework which is an industry standard data model.
- Design, develop, and optimize Oracle relational databases tables, ensuring high availability, scalability, and performance.
- Optimize SQL queries, indexes, and execution plans for efficient data processing.
- Develop ETL pipelines and PL/SQL to transform and integrate data from multiple sources.
- Implement job scheduling, store procedure, data validation,
and monitoring solutions.
- Work closely with data architecture, DA teams, and application developers to enable data-driven decision-making.
- Robust in creating logical and physical data model for RDBMS and NoSQL technologies.
- Strong expertise in PL/SQL, SQL tuning, stored procedures, and triggers.
- Knowledge of data modeling, data lakes, and warehousing.
- Familiarity with Python, shell scripting for transformation and automation.
- Experience with Big Data & NoSQL technologies (e.g: MongoDB, Kafka, Hadoop).
- Nice to have: Experience with BIAN (Banking Industry Architecture Network)
📌 Data Engineer (Hyderabad)
🏢 Trigent Software
📍 Hyderabad
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.