Senior Data Engineer (AWS / PLSQL / Oracle)

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

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.
4–7 years of experience in Data Engineering or Database Development
Primary Skills
AWS Data Services, SQL Development, Data Processing, ETL Pipelines
Must Have: Redshift, Oracle PL/SQL, PostgreSQL PL/pgSQL
Nice to Have: AWS (S3, Lambda), SQL, ETL Processes, Data Modeling, Linux/Unix, Git
Hands-on experience with
Amazon Redshift and AWS ecosystem
Strong expertise in
Oracle PL/SQL development
PostgreSQL and PL/pgSQL

data warehousing concepts and ETL processes Exposure to query optimization and performance tuning
Good communication and teamwork skills.

Pakistan (Lahore / Karachi / Islamabad) – Hybrid