
Senior Data Engineer
- Bangalore, Karnataka
- Permanent
- Full-time
- Architect and implement analytics and data modeling solutions for Microsoft Azure Databricks, Palantir, and SAP landscape.
- Develop and enhance analytical applications and reporting tools.
- Collaborate with business stakeholders (business analysts, product owners, architects) to gather requirements, design functional solutions, and deliver end-to-end analytics products independently.
- Lead the development of prototypes and ensure timely delivery of production-ready solutions.
- Mentor and guide junior engineers, fostering a culture of technical excellence and continuous learning.
- Contribute to best practices, coding standards, and architectural guidelines.
- The ideal candidate should have expertise in cloud data warehousing / Lakehouse solutions (Azure Databricks or Palantir) with exposure and understanding of SAP tables and structures. The ability to work in an agile environment with an understanding of methods and tools (ADO/JIRA) is important.
- 10+ years of hands-on experience in designing and implementing ETL for large data solutions and reporting solutions using Microsoft Azure/Databricks or Palantir.
- Proficiency in building scalable transformations using Python (Py Spark) and SQL. Understanding performance impact and resolving performance related issues is a key requirement.
- Exposure to SAP tables/structures and working knowledge of ABAP Objects, REST APIs, OO ABAP, BAPIs, and SQL.
- Experience with CI/CD pipelines and DevOps practices in data engineering.
- Proven track record across all phases of cloud application development: requirements gathering, architecture, implementation, Maintenance, testing, and documentation.
- Strong analytical thinking and ability to communicate complex processes clearly to non-technical stakeholders.
- Bachelor's degree in computer science, Information Technology, or related field.
- Experience in financial services and insurance Industry is preferred.
- Excellent verbal and written communication skills; experience working in agile environments.
- Understanding S/4 HANA Embedded Analytics will be a value add.
- Exposure to financial reconciliation and auditing processes.
- Familiarity with data governance and compliance standards in finance.
Reference Code: 135069