Lead Data Engineer

Posted 4 Days Ago
Be an Early Applicant
Federal Territory
Senior level
Software • Database • Analytics
The Role
Responsible for managing and administering relational databases, executing complex migrations, optimizing performance for cloud and on-premises databases, and supporting data engineering tasks. Collaborate with teams to design solutions that meet business needs and ensure database security and governance practices are followed.
Summary Generated by Built In

Job Title: Lead Data Engineer
Location: Karachi, Lahore , Islamabad
Experience Required: Must be 6+ Years

About the Role:

We are seeking an experienced and versatile Date Engineer - RDBMS Specialist to join our team. The ideal candidate will have extensive hands-on experience with relational database management systems (RDBMS), particularly PostgreSQL and AWS RDS, as well as a solid understanding of database migration processes and cloud-based database management. This role requires expertise in designing, deploying, administering, and migrating databases across diverse environments.


Key Responsibilities:

  • Database Management: Deploy, manage, and administer relational database systems such as PostgreSQL, Oracle, SQL Server, and AWS RDS.
  • Migration Expertise: Execute complex database migration projects, including but not limited to source and target combinations such as PostgreSQL to Oracle, SQL Server to PostgreSQL, and Oracle to Snowflake.
  • Cloud Database Operations: Leverage expertise in public cloud platforms like AWS, Azure, or others to manage and optimize RDBMS deployments.
  • Performance Tuning: Monitor, troubleshoot, and optimize database performance for both on-premises and cloud environments.
  • Development Support: Collaborate with development teams to design and implement database solutions that meet business and technical requirements.
  • Data Engineering: Support ETL/ELT processes and other data engineering tasks using RDBMS and cloud platforms.
  • Governance: Ensure database security, backup, and recovery protocols comply with organizational standards and best practices.
  • Stakeholder Engagement: Work closely with cross-functional teams, providing technical insights and recommendations for database-related initiatives.

 Key Qualifications:

  • Experience:
    • Extensive experience (5+ years) with relational database systems such as PostgreSQL, Oracle, SQL Server, and AWS RDS.
    • Proven track record of successful database migrations across platforms.
  • PostgreSQL Expertise: Demonstrated proficiency in deploying, managing, and optimizing PostgreSQL environments.
  • AWS RDS: Hands-on experience with AWS RDS databases, including setup, administration, and scaling.
  • Public Cloud: Minimum of [X] years of experience with public cloud platforms like AWS, Azure, or GCP.
  • Primary Skills: Deployment, management, administration, development, migration, and data engineering related to RDBMS.
  • Tools & Techniques: Familiarity with tools for backup, recovery, clustering, replication, and monitoring of databases.
  • Soft Skills: Strong problem-solving abilities, technical communication, and the ability to work effectively in a collaborative environment.
  • Degree in Computer Sciences. 

Preferred Qualifications:

  • Experience in advanced migration scenarios, such as heterogeneous database migrations (e.g., Oracle to Snowflake).
  • Knowledge of data warehousing, analytics, and ETL pipelines.
  • Certifications in PostgreSQL, AWS, or other RDBMS/cloud technologies.

What We Offer:

  • Competitive compensation and benefits.
  • Opportunities for professional development and certifications.
  • Exposure to cutting-edge technologies and diverse projects.
  • Collaborative and dynamic work environment.


Join our team and play a pivotal role in shaping scalable, high-performance database solutions!

Top Skills

Oracle
Postgres
SQL Server
The Company
Andover, MA
324 Employees
On-site Workplace
Year Founded: 2007

What We Do

NorthBay is an AWS Premier Partner focused on Database & Application migrations, data & analytics, DevOps & DataOps, application modernization and ML/Ai.

Our practice areas include big data and analytics, machine learning, artificial intelligence and database migrations.

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