Data Engineer

At
GKM IT
, we're looking for a
Data Engineer - Lead
to shape and scale our data engineering function. In this role, you will lead a high-performing team, define technical strategy, and architect enterprise-scale data platforms. You'll collaborate with senior leadership, drive cross-functional data initiatives, and ensure excellence in building scalable, secure, and reliable data systems. This position requires strong leadership, deep technical expertise, and a passion for advancing data capabilities across the organization.

Requirements

• 7+ years of experience in data engineering, including at least 2+ years in a leadership or lead role.
• Proven ability to lead and manage data engineering teams, provide mentorship, and drive strategic initiatives.
• Strong expertise in architecting enterprise-scale data platforms and multi-tenant infrastructure.
• Hands-on experience with data lake/warehouse solutions (Redshift, BigQuery, Snowflake, Delta Lake, Apache Iceberg).
• Expert-level proficiency in Python, SQL, and data modeling.
• Deep knowledge of distributed systems, data processing frameworks, and system design.
• Advanced experience with cloud platforms (AWS, GCP, Azure), infrastructure as code, and containerization.
• Strong background in real-time and batch data pipelines using Airflow, Kafka, Spark, Flink.
• Experience implementing data governance, lineage, quality frameworks, and observability standards.
• Skilled in performance optimization for queries, storage, and infrastructure at scale.
• Knowledge of CI/CD workflows, testing strategies, and deployment automation.
• Experience with streaming platforms (Kafka, Kinesis) and event-driven architectures.
• Proficiency with modern table formats (Apache Iceberg, Delta Lake) and lakehouse architectures.
• Demonstrated ability in strategic thinking, stakeholder management, and cross-team collaboration.
• Experience in budget planning, vendor management, and technical recruitment.
• Excellent communication and leadership skills to drive collaboration between Data, ML, Analytics, and Engineering teams.

Good to Have:

• Experience with DBT for data transformation and modeling.
• Familiarity with data observability tools (e.g., Monte Carlo, Great Expectations).

Benefits

We don't just hire employees—we invest in people. At
GKM IT
, we've designed a benefits experience that's thoughtful, supportive, and actually useful. Here's what you can look forward to:

• Top-Tier Work Setup
  You'll be equipped with a premium MacBook and all the accessories you need. Great tools make great work.
• Flexible Schedules & Remote Support
  Life isn't 9-to-5. Enjoy flexible working hours, emergency work-from-home days, and utility support that makes remote life easier.
• Quarterly Performance Bonuses
  We don't believe in waiting a whole year to celebrate your success. Perform well, and you'll see it in your pay check—quarterly.
• Learning is Funded Here
  Conferences, courses, certifications—if it helps you grow, we've got your back. We even offer a dedicated educational allowance.
• Family-First Culture
  Your loved ones matter to us too. From birthday and anniversary vouchers (Amazon, BookMyShow) to maternity and paternity leaves—we're here for life outside work.
• Celebrations & Gifting, The GKM IT Way
  Onboarding hampers, festive goodies (Diwali, Holi, New Year), and company anniversary surprises—it's always celebration season here.
• Team Bonding Moments
  We love food, and we love people. Quarterly lunches, dinners, and fun company retreats help us stay connected beyond the screen.
• Healthcare That Has You Covered
  Enjoy comprehensive health insurance for you and your family—because peace of mind shouldn't be optional.
• Extra Rewards for Extra Effort
  Weekend work doesn't go unnoticed, and great referrals don't go unrewarded. From incentives to bonuses—you'll feel appreciated.