Engineering Manager

Job Title: Engineering Manager – Data Engineering & Advanced Analytics

Location: Chennai

Department: Data Engineering / Technology

Reports To: Director of Data Engineering

Job Summary:

We are seeking a highly skilled and experienced Engineering Manager to lead a team of data & Software engineers , building, testing, and maintaining scalable data pipelines and advanced analytics solutions. This role requires a strong technical foundation in big data technologies, data modeling, software engineering, along with proven leadership in delivering end-to-end data solutions that drive business impact.

Key Responsibilities:

· Take full ownership of the design, development, and maintenance of large-scale data pipelines and systems.

· Lead and mentor a team of engineers to deliver high-quality, production-ready solutions.

· Collaborate with cross-functional teams to support strategic programs, operational initiatives, and new product development.

· Ensure solutions align with API-First and Service-Oriented Architecture (SOA) principles.

· Provide thought leadership and expert consultation to senior management on data strategy and innovation.

· Oversee the creation of architecture diagrams, design documentation, and project planning artifacts.

· Ensure data quality, governance, and compliance across all engineering initiatives.

Required Qualifications:

· Bachelor's degree in Computer Science, Information Systems, Engineering or a related quantitative field.

· 12+ years of experience in data engineering, analytics, or related fields.

· Proven experience in building and managing large-scale data pipelines using tools like SQL, PySpark, Flink and Apache Spark.

· Strong command of data modeling concepts, architecture design, and project planning.

· Experience with AZURE and modern data stack tools.

· Excellent communication skills with the ability to present complex technical concepts to non-technical stakeholders.

· Demonstrated leadership in multi-functional project teams and consulting environments.

Preferred Qualifications:

· Master's degree or higher in a relevant field.

· Experience in the transportation or logistics industry.

· Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and DevOps practices.

· Experience mentoring junior engineers and fostering a culture of continuous learning.

Why Join Us

· Work on impactful projects that shape the future of data-driven decision-making.

· Collaborate with top-tier talent in a fast-paced, innovation-focused environment.

· Opportunity to influence data strategy and architecture at an enterprise level.