Posted:2 weeks ago|
Platform:
Work from Office
Full Time
We are seeking a seasoned Manager – Data Engineering with strong experience in Databricks or the Apache data
stack to lead complex data platform implementations. You will be responsible for leading high-impact data engineering engagements for global clients, delivering scalable solutions, and driving digital transformation.
Required Skills & Experience:
• 12–18 years of total experience in data engineering, including 3–5 years in a leadership/managerial role.• Hands-on experience in Databricks OR core Apache stack – Spark, Kafka, Hive, Airflow, NiFi, etc.• Expertise in one or more cloud platforms: AWS, Azure, or GCP – ideally with Databricks on cloud.• Strong programming skills in Python, Scala, and SQL.• Experience in building scalable data architectures, delta lakehouses, and distributed data processing.• Familiarity with modern data governance, cataloging, and data observability tools.• Proven experience managing delivery in an onshore-offshore or hybrid model.• Strong communication, stakeholder management, and team mentoring capabilities.
Key Responsibilities:
• Lead the architecture, development, and deployment of modern data platforms using Databricks, Apache Spark, Kafka, Delta Lake, and other big data tools.• Design and implement data pipelines (batch and real-time), data lakehouses, and large-scale ETL frameworks.• Own delivery accountability for data engineering programs across BFSI, telecom, healthcare, or manufacturing clients.• Collaborate with global stakeholders, product owners, architects, and business teams to understand requirements and deliver data-driven outcomes.• Ensure best practices in DevOps, CI/CD, infrastructure-as-code, data security, and governance.• Manage and mentor a team of 10–25 engineers, conducting performance reviews, capability building, and coaching.• Support presales activities including solutioning, technical proposals, and client workshops
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