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Senior Data Engineer (AWS / PLSQL / Oracle)

Summary

Senior Data Engineer builds and maintains AWS-based data pipelines, writes PL/SQL and PL/pgSQL stored procedures, and optimizes Redshift queries for scalable analytics.

Employment Type

Full-Time | Permanent

Location

Pakistan (Lahore / Karachi / Islamabad) – Hybrid

Role Overview

We are hiring Senior Data Engineers with solid experience in AWS, Amazon Redshift, Oracle PL/SQL, and PostgreSQL (PL/pgSQL). The role involves building and maintaining data pipelines, optimizing queries, and supporting scalable data platforms.

Experience

4–7 years of experience in Data Engineering or Database Development

Primary Skills

AWS Data Services, SQL Development, Data Processing, ETL Pipelines

Technologies

Must Have: Redshift, Oracle PL/SQL, PostgreSQL PL/pgSQL

Nice to Have: AWS (S3, Lambda), SQL, ETL Processes, Data Modeling, Linux/Unix, Git

Key Responsibilities

  • Develop and maintain data pipelines and ETL workflows on AWS
  • Write efficient SQL queries and build stored procedures in PL/SQL and PL/pgSQL
  • Work with Amazon Redshift for analytics and data processing
  • Perform query optimization and performance tuning
  • Support data integration and transformation activities
  • Troubleshoot database and data pipeline issues
  • Collaborate with lead engineers on architecture and enhancements

Key Requirements

  • Hands‑on experience with Amazon Redshift and AWS ecosystem
  • Strong expertise in Oracle PL/SQL development
  • Good experience with PostgreSQL and PL/pgSQL
  • Understanding of data warehousing concepts and ETL processes
  • Exposure to query optimization and performance tuning
  • Good communication and teamwork skills.

See also