Databricks+SAP+Oil&Gas - Manager

Overview

Lead data engineering workstreams for Databricks and SAP-enabled client initiatives in oil and gas, managing teams and delivery across the Data and Analytics Engineering practice.

What you'll do

• Lead data engineering workstreams for Databricks and SAP-enabled client initiatives in oil and gas environments
• Design and develop data pipelines, integration flows, and transformation logic across cloud-based platforms
• Manage project planning, budgeting, execution, and delivery timelines for multiple client engagements
• Review technical deliverables for data architecture, data modeling, and data quality alignment
• Guide teams in the use of Apache Airflow, Azure Data Factory, and Databricks Unified Data Analytics Platform
• Coach team members on data engineering methods, performance tuning, query optimization, and troubleshooting
• Translate client requirements into scalable data infrastructure and warehouse solutions
• Identify opportunities to improve data validation, governance, and security practices across solution designs
• Coordinate issue resolution and communicate progress, risks, and dependencies to client stakeholders
• Apply knowledge of Snowflake, AWS, Hadoop, and database management systems to support modernization efforts

What you'll need

• At least a Bachelor's degree
• At least 8+ years of experience
• Oral and written proficiency in English

Nice to have

• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Demonstrating Databricks and SAP data modernization project leadership
• Managing client-facing data engineering workstreams and timelines
• Coaching teams through complex data integration and transformation
• Applying oil and gas industry knowledge to analytics delivery
• Using agile methods across planning, execution, and review
• Translating system interactions into practical technical solutions

Details

• Location: Bangalore, India
• Management Level: Manager
• Specialism: Data, Analytics & AI