Posted on: 14/08/2026
Job Description :
We are seeking a highly experienced Engineering Manager to lead our global data engineering team from our Pune-based GCC.
This role combines technical leadership with people management, focusing on building scalable data platforms using modern technologies like Databricks, Python, and big data ecosystems.
Key Responsibilities:
- Lead and manage a distributed team of 8+ data engineers across geographies.
- Architect and oversee development of robust, scalable data pipelines and platforms.
- Collaborate with global stakeholders across Product, Data Science, and Business Analytics.
- Ensure high performance, reliability, and maintainability of data systems.
- Drive best practices in coding, testing, deployment, and documentation.
- Mentor and coach engineers for technical growth and career development.
- Manage sprint planning, delivery timelines, and stakeholder communication.
- Promote a culture of innovation, ownership, and continuous improvement.
Qualifications:
- Bachelors or Masters degree in Computer Science, Engineering, or related field.
- 10+ years of experience in software/data engineering.
- Minimum 5 years of experience managing engineering teams of 8+ members.
- Proven experience working with global or GCC-based development teams.
- Strong expertise in :
1. Databricks and Apache Spark.
2. Python for data workflows.
3. Relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
4. Big Data technologies (e.g., Hadoop, Delta Lake, Kafka).
- Solid understanding of data architecture, ETL/ELT pipelines, and cloud platforms (AWS/Azure/GCP).
- Excellent communication and stakeholder management skills.
Preferred Skills :
- Experience with CI/CD and DevOps practices in data environments.
- Familiarity with data governance, security, and compliance frameworks.
- Exposure to Agile/Scrum methodologies.
- Certifications in cloud or data engineering platforms.
Additional Information :
- Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms.
- Recharge and revitalize with help of wellness plans made for you and your family.
- Plan your future with financial wellness tools.
- Stay relevant and upskill yourself with career development opportunities.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1663147