Overview
Lead client-facing data engineering work focused on designing and developing data pipelines, data integration, and data transformation solutions within the Data and Analytics Engineering practice, with a focus on Databricks and SAP data modernization for oil and gas clients.
What you'll do
- Lead Databricks and SAP data modernization workstreams for oil and gas clients, translating business needs into data engineering plans
- Design and build data pipelines, integration flows, and transformation logic across cloud data platforms
- Direct data architecture decisions for data lake and data warehouse environments, including modeling, validation, and performance tuning
- Coordinate delivery across teams to resolve complex data issues and keep implementation activities aligned with project goals
- Apply Apache Airflow, Azure Data Factory, and related orchestration tools to automate data movement and scheduling
- Leverage Microsoft Azure Databricks and Snowflake to develop scalable analytics-ready data solutions
- Review data quality, security controls, and database administration activities to support stable production environments
- Advise clients on data modernization strategies, technical tradeoffs, and migration approaches for legacy SAP and enterprise data platforms
- Coach team members through technical problem solving, issue resolution, and delivery planning in ambiguous situations
- Communicate progress, risks, and recommendations clearly to technical and business stakeholders
What you'll need
- At least a Bachelor's degree
- At least 13+ 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 delivery across oil and gas
- Leading complex data engineering programs for client-facing transformation efforts
- Applying systems thinking to uncover data architecture and pipeline opportunities
- Crafting clear messages that connect technical details to business outcomes
- Coaching diverse teams through ambiguity, change, and competing priorities
Details
- Location: Bangalore (SDC) - Bagmane Tech Park
- Industry/Sector: Not Applicable; Specialism: Analytics; Management Level: Senior Manager
Read the full description and apply on the company’s own careers page.