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

Summary

Lead the design and optimization of scalable data platforms on AWS (Redshift, Glue, S3, Lambda) using PL/SQL and PL/pgSQL, while mentoring engineers and driving enterprise data initiatives.

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.

Experience

10+ years of experience in Data Engineering, Data Warehousing, and Database Development.

Primary Skills

AWS Data Engineering, Data Architecture, Data Warehousing, SQL Development.

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.

Key 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.

Key Requirements

  • 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

See also