Senior Analyst – Data Engineer – Deloitte Support Services India Private Limited

We are seeking an experienced Data Engineer with a strong background in Databricks, Azure Data Factory, Data Build Tools (DBT), and POSTMAN. The ideal candidate will have over four years of experience in data engineering and a good understanding of Python. This role involves designing, implementing, and optimizing data pipelines and workflows to support our data-driven initiatives.

Work you’ll do.

As a part this team, your Key Responsibilities will be:

• Develop and Maintain Data Pipelines: Design, build, and maintain scalable data pipelines using Databricks and Azure Data Factory.
• Data Transformation and Modeling: Utilize Data Build Tools (DBT) to transform raw data into meaningful insights.
• API Testing and Integration: Use POSTMAN for testing and integrating APIs to ensure seamless data flow across systems.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Performance Optimization: Continuously monitor and optimize data workflows for performance and cost-efficiency.
• Monitoring: Monitor, Troubleshoot and notify stakeholders and implement Hotfixes.
• Collaboration: You will be closely working with DBA, DevOps and Infra team for deployment and to provide necessary solutions.
• Documentation: Maintain comprehensive documentation of data processes, workflows, and system architecture and KBAs for L3 team.

Work Location: Hyderabad

Required Qualifications:

• Experience: Minimum of 4 years of experience in data engineering roles with bachelor’s degree in computer science, Information Technology, or related field.
• Technical Skills:
• • Proficiency in Databricks and Azure Data Factory.
  • Strong experience with Data Build Tools (DBT).
  • Hands-on experience with POSTMAN for API testing and integration.
  • Experience with version control systems such as Git or TFS.
• Additional Skills:
• • Good understanding of Python for data manipulation and scripting.
  • Familiarity with cloud platforms and data storage solutions.
  • Writing complex queries, stored procedures, and triggers in SQL is an added advantage.
• Soft Skills:
• • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration abilities.