Lead Data Engineer

PeopleStrong; India; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

PeopleStrong in India seeks an experienced Lead Data Engineer to design, build, and scale data pipelines and warehousing. You will lead a team of data engineers, mentor talent, and coordinate with stakeholders to align data initiatives with business goals.

The role emphasizes cloud platforms (Azure, AWS, GCP), Databricks and Spark, and governance, security, and compliant data practices across ETL and real-time processing.

Qualifications

• Experience leading data engineering teams.
• Strong expertise in ETL, data warehousing, and data governance.
• Proficient in cloud data platforms and scalable architectures.
• Excellent collaboration with cross-functional stakeholders.

Responsibilities

• Lead the design, build, and maintenance of scalable data pipelines.
• Mentor and develop a team of data engineers.
• Coordinate with stakeholders to define timelines and priorities.
• Ensure data quality, security, and compliance.
• Drive performance reviews and career development.
• Architect cloud-based data solutions and CI/CD for pipelines.

Skills

Team leadership

Data engineering

Project delivery

Stakeholder communication

Data quality

Data governance

Distributed computing

Tools

Databricks

Spark

Azure

AWS

GCP

Terraform

Azure DevOps

GitHub Actions

Unity Catalog

Collibra

Alation

Job description

Job Description

Job Responsibilities

• Responsible for leading a team of talented data engineers responsible for designing, building, and maintaining scalable data pipelines and infrastructure
• Work closely with cross-functional teams to ensure client data systems meet the highest standards of quality and performance
• Lead, mentor, and develop a team of data engineers, fostering a collaborative and inclusive team environment
• Conduct regular performance reviews, provide feedback, and set goals for team members
• Identify and address skill gaps, and provide opportunities for professional development
• Plan, execute, and deliver data engineering projects on time and within scope
• Coordinate with stakeholders to gather requirements, set priorities, and define project timelines.
• Ensure projects align with overall business objectives and data strategy
• Oversee the design, development, and maintenance of data pipelines, ETL processes, and data warehouse
• Ensure data quality, integrity, and security across all data engineering projects.
• Identify opportunities for process improvements and drive initiatives to enhance the efficiency and effectiveness of data operations.
• Has strong conceptual understanding of Data Warehousing and ETL, Data Governance and Security, Cloud Computing, and Batch & Real Time data processing
• Ability to build/drive reusable frameworks that can drive efficiency of the overall data system
• Has executed and lead multiple projects including on - streaming, batch, large data pipelines, etc.
• Manages conversation with the client stakeholders to understand the Internal Use Only requirement and translate it into technical outcomes.

Required Tech Stack

• Strong experience with Databricks, Spark, and cloud platforms (Azure, AWS, GCP).
• Architect and deploy cloud-based data solutions (Azure, AWS, GCP).
• Define CI/CD strategies for data pipelines using Terraform, Azure DevOps, or GitHub Actions.
• Implement data cataloging, lineage tracking, and access control (Unity Catalog, Collibra, Alation).
• Ensure compliance with GDPR, CCPA, and industry-specific data security policies.
• Develop strategies for distributed computing, parallel processing, and caching mechanisms.