Senior Analyst - Data Platform

About H.E. Services :

At H.E. Services vibrant tech Center in Hyderabad, you will have the opportunity to contribute to technology innovation for Holman Automotive, a leading American fleet management and automotive services company. Our goal is to continue investing in people, processes, and facilities to ensure expansion in a way that allows us to support our customers and develop new tech solutions.

Holman has come a long way during its first 100 years in business. The automotive markets Holman serves include fleet management and leasing; vehicle fabrication and up fitting; component manufacturing and productivity solutions; powertrain distribution and logistics services; commercial and personal insurance and risk management; and retail automotive sales as one of the largest privately owned dealership groups in the United States.

Join us and be part of a team that's transforming the way Holman operates, creating a more efficient, data-driven, and customer-centric future.

Roles & Responsibilities :

• Design, develop, and maintain data pipelines using Databricks , Spark , and other Azure cloud technologies.
• Optimize data pipelines for performance, scalability, and reliability, ensuring high speed and availability of data warehouse performance.
• Develop and maintain ETL processes using Databricks and Azure Data Factory for real-time or trigger-based data replication.
• Ensure data quality and integrity throughout the data lifecycle, implementing new data validation methods and analysis tools.
• Collaborate with data scientists, analysts, and stakeholders to understand and meet their data needs.
• Troubleshoot and resolve data-related issues, providing root cause analysis and recommendations.
• Manage a centralized data warehouse in Azure SQL to create a single source of truth for organizational data, ensuring compliance with data governance and security policies.
• Document data pipeline specifications, requirements, and enhancements, effectively communicating with the team and management.
• Leverage AI / ML capabilities to create innovative data science products.
• Champion and maintain testing suites, code reviews, and CI / CD processes.

Must Have :

Advanced-level knowledge and practice of :

Good to Have :

Relevant Work Experience :

Education and Training :