We are looking for a skilled Data Engineer with strong expertise in Oracle SQL and PL/SQL to design, develop, and optimize data pipelines, database systems, and integration workflows.
The ideal candidate should have hands-on experience in ETL processes, data transformation, database performance tuning, and large-scale data processing while ensuring data quality, scalability, and reliability.
Design and develop ETL / ELT pipelines for data ingestion, processing, and transformation
Build scalable data workflows to support analytics and reporting systems
Develop data integration solutions across multiple source systems
Develop and optimize PL/SQL procedures, functions, packages, and triggers
Write complex SQL queries for extraction, transformation, and reporting
Perform query tuning, indexing, and database performance optimization
Integrate data from enterprise applications, APIs, databases, and warehouse systems
Support batch and scheduled data loads
Implement validation checks and monitoring mechanisms
Ensure data consistency, integrity, and security
Work closely with Analysts, Developers, and Business teams
Participate in solution design and architecture discussions
Strong expertise in Oracle SQL & PL/SQL
Experience in ETL / ELT development
Data pipeline development and data integration
Query optimization and performance tuning
Oracle Database experience
Unix / Linux / Shell scripting
Good understanding of data warehousing concepts
Python scripting
Informatica / Talend / Airflow
Snowflake / Redshift / BigQuery
AWS / Azure / GCP exposure
Banking / Financial domain experience
Bachelor’s / Master’s degree in Computer Science, IT, or related field
5–6 years of relevant experience
Opportunity to work on enterprise-scale data platforms
Exposure to modern data engineering technologies
High-impact projects with strong growth opportunities
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