Senior Data Engineer

The Data Engineering function is expanding across ingestion, integration, transformation,

and consumption capabilities to deliver high-impact data products that transform how the

organization leverages data. The Data Engineering and Platforms team is seeking an

experienced Senior Data Engineer to provide technical leadership and expertise to internal

and partner teams working within an enterprise data ecosystem.

This role will be instrumental in shaping technical roadmaps, defining best practices, and

contributing to architectural decisions to drive innovation at scale.

The position demands deep technical expertise, strong problem-solving skills, and

architectural understanding across data engineering initiatives. It requires close

collaboration with architects and business stakeholders to contribute to enterprise-wide

data engineering strategies, ensuring scalable, resilient, and cost-optimized data solutions.

Key Responsibilities

• Lead the technical design and hands-on development of scalable, high-performance data

platforms and solutions.

• Drive business impact through data-driven decision-making.
• Define and implement enterprise data architecture principles.
• Modernize legacy data products to modern data architectures.
• Establish technical governance, standards, and frameworks.
• Mentor junior engineers and provide hands-on technical guidance.
• Architect and optimize data pipelines across Azure, Databricks, and GCP.
• Ensure data security and regulatory compliance.
• Collaborate with cross-functional teams in Agile delivery.
• Drive proof-of-concepts and pilot implementations.

Qualifications

• Bachelor’s degree in Computer Science or equivalent.
• 4–7 years of enterprise data engineering experience.

Additional Skills

• Azure Data Factory, Databricks, GitHub, CI/CD
• DataOps, DevSecOps, SQL/NoSQL
• Strong communication and mentoring skills

Job Type: Full-time

Pay: ₹1,500,000.00 - ₹2,400,000.00 per year

Work Location: In person