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

northbay · Lahore, Punjab, Pakistan

External listingfull-timeRecently

About The Role

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

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