Data Engineer

Job Description
Must Have Technical/Functional Skills
Expected to design, develop, and maintain robust ETL pipelines using Python and PL/SQL, ensuring accurate, reliable, and scalable data movement across systems.
Responsible for implementing data transformations, validations, and performance‑optimized SQL/PL‑SQL logic, while collaborating closely with upstream and downstream teams to support analytics and business reporting needs.
Roles & Responsibilities
Design, develop, and maintain end‑to‑end ETL pipelines to ingest, transform, and load data from multiple source systems into target platforms.
Build and optimize data processing logic using Python and PL/SQL, ensuring performance, scalability, and reliability.
Develop and maintain PL/SQL procedures, packages, and complex SQL queries for data transformation, validation, and reconciliation.
Implement data quality checks, validations, and exception handling to ensure accuracy and consistency of data.
Tune ETL jobs, SQL queries, and database objects to support high‑volume and performance‑critical workloads.
Collaborate with application, reporting, and analytics teams to support downstream consumption and business requirements.
Support production deployments, monitoring, and issue resolution, including root‑cause analysis for data‑related incidents.
Generic Managerial Skills, If any

• 5+ years of relevant experience
• Experience in systems analysis and programming of software applications
• Experience in managing and implementing successful projects
• Working knowledge of consulting/project management techniques/methods
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

Salary Range: $110,000 to $125,000 per year
Qualifications:
BACHELOR OF COMPUTER SCIENCE