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Lead Data Engineer (AWS / PLSQL / PL/PGSQL)

Discussion

Summary

The Lead Data Engineer will design and optimize scalable data platforms and pipelines on AWS, utilizing Oracle PL/SQL and PostgreSQL PL/pgSQL. This role involves leading enterprise-level data initiatives, mentoring team members, and ensuring high standards for data governance and performance.

Overview

Employment Type: Full-Time | Permanent

Location: Pakistan (Lahore / Karachi / Islamabad) – Hybrid

Role Overview: We are looking for a Lead Data Engineer with strong expertise in AWS and database technologies (Oracle PL/SQL, PostgreSQL PL/pgSQL, Amazon Redshift). The ideal candidate will lead the design, development, and optimization of scalable data platforms and drive enterprise-level data engineering initiatives.

Responsibilities

  • Lead the architecture and implementation of data pipelines and data warehouse solutions on AWS
  • Design and optimize Amazon Redshift-based analytics platforms
  • Develop and review complex PL/SQL and PL/pgSQL procedures, functions, and scripts
  • Drive data migration and transformation across Oracle, PostgreSQL, and Redshift environments
  • Implement performance tuning strategies including indexing, partitioning, and query optimization
  • Establish best practices for data governance, security, and quality
  • Collaborate with cross-functional teams to define and deliver data solutions
  • Mentor engineers, conduct code reviews, and provide technical leadership

Qualifications

  • 10+ years of experience in Data Engineering, Data Warehousing, and Database Development
  • Strong hands-on experience with AWS data ecosystem (Redshift, Glue, S3, Lambda)
  • Advanced expertise in Oracle PL/SQL and PostgreSQL (PL/pgSQL)
  • Proven experience in enterprise-scale data warehouse architecture
  • Strong understanding of ETL/ELT frameworks and pipeline design
  • Expertise in performance tuning and large-scale data processing
  • Prior experience in technical leadership or mentoring roles

Technologies

  • Must Have: Redshift, Oracle PL/SQL, PostgreSQL PL/pgSQL
  • Nice to Have: AWS (S3, Lambda), SQL, ETL/ELT, Data Modeling, Query Optimization, Performance Tuning, Linux/Unix, Git, CI/CD

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

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