Lead Data Engineer - AWS Redshift & PL/SQL Expert

NorthBay Solutions

Islamabad Capital Territory

On-site

PKR 4,200,000 - 6,400,000

Full time

14 days+

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Job summary

NorthBay Solutions in Islamabad is seeking a Lead Data Engineer to drive the design, development, and optimization of scalable data platforms using AWS and database technologies including Oracle PL/SQL, PostgreSQL PL/pgSQL, and Redshift. You will lead enterprise-level data engineering initiatives and mentor the team.

The role focuses on architecture, performance tuning, data governance, and collaboration with cross-functional teams to deliver robust data solutions in a fast-paced environment.

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).

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.

Skills

AWS Data Engineering
Data Architecture
Data Warehousing
SQL Development

Tools

Redshift
Oracle PL/SQL
PostgreSQL PL/pgSQL

Job description

NorthBay Solutions in Islamabad is seeking a Lead Data Engineer to drive the design, development, and optimization of scalable data platforms using AWS and database technologies including Oracle PL/SQL, PostgreSQL PL/pgSQL, and Redshift. You will lead enterprise-level data engineering initiatives and mentor the team.

The role focuses on architecture, performance tuning, data governance, and collaboration with cross-functional teams to deliver robust data solutions in a fast-paced environment.

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