Lead Data Engineer

Embark on an exciting journey into the realm of software product development with 3Pillar We extend an invitation for you to join our team and gear up for a thrilling adventure. At 3Pillar, our focus is on leveraging cutting-edge technologies that revolutionize industries by enabling data driven decision making. As a Lead, Data Engineering, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries.

Job Summary:

We are looking for an experienced Lead, Data Engineering to lead and manage our ETL Development Team of 3-4 Data Engineers in India. This is a critical role combining hands-on technical expertise with operational team leading and management. You will be the team's primary technical authority, responsible for resolving the most complex incidents and driving system improvements. Simultaneously, you will be responsible for all local team management, including creating rosters, handling leave, and ensuring 100% service coverage during the critical 11:30 AM - 6:30 PM IST window.

Work Location:
Noida, Sec 62

Working days per week:
5

Rotational Shift :
Candidates should be flexible working on a Roster basis including Weekends but maximum 5 days a week

Responsibilities:

• Team & Operational Management
• Team Management: Manage the on-site team of 3-4 Data Engineers.
• Roster & Scheduling: Create, manage, and maintain team rosters and schedules to ensure full 8-hour coverage, 7 days a week, including rotational weekend and holiday coverage.
• Availability: Must be able to work a day shift and manage a team that provides 7-day-a-week coverage, including weekends and holidays on rotation.
• Coverage Assurance: Handle all team leave requests (planned and unplanned). You are responsible for ensuring coverage is always maintained, especially during medical or other unexpected absences.
• Performance & SLAs: Act as the primary operational point of contact, ensuring the team executes all tasks efficiently, makes sound decisions, and adheres to all agreed-upon SLAs.
• Technical Leadership & Engineering
• Final Escalation Point: Serve as the final technical escalation point for the team; personally handle the most critical job failures and system issues.
• Expert RCA: Lead all high-priority Root Cause Analysis (RCA) efforts, documenting solutions and implementing permanent fixes to prevent recurrence.
• Strategic Improvement: Drive the team's efforts in performance tuning and AWS Glue cost optimization.
• Automation Strategy: Define and lead the development of new automation jobs (using Glue, Lambda, and Step Functions) to reduce manual support tasks.
• Complex Data Management: Oversee all data integrity and synchronization tasks, including CDC reloads and write-backs to external databases like Teradata.
• Knowledge Transfer: Own the knowledge transfer process to internal resources and ensure the team maintains excellent documentation and runbooks.

Qualification:

• Demonstrated expertise with a minimum of 8 years of relevant experience in data engineering with experience of leading and managing a technical support or data engineering team.
• Ability to function as a player-coach — leading while also contributing hands-on.
• Proficiency in Python for data engineering, ETL/ELT workflows, and automation tasks.
• Solid understanding of data governance, security, and performance optimization practices.
• Experience designing, creating and maintaining data pipelines in AWS environments, with strong exposure to AWS Data services like S3, Glue, Lambda, and Step Functions, and other related services.
• Data Architecture: Expert-level understanding of ETL, data warehouse design, and pipeline optimization.
• Database Expertise: Deep experience with Teradata, Change Data Capture (CDC) processes, and data synchronization.
• Integration: Experience with Lambda-based integrations, such as triggering SAS or RMJ events.
• Strong communication skills and ability to translate complex technical concepts for business stakeholders.
• Resilience: Ability to make critical, autonomous decisions and lead a team in a high-pressure, on-site support environment.