Job Description:
Job Title: BigData-Hadoop/Scala Engineer, AVP
Location: Pune, India

Role Description
An Engineer is responsible for designing and developing entire engineering solutions to accomplish business goals. Key responsibilities of this role include ensuring that solutions are well architected, with maintainability and ease of testing built in from the outset, and that they can be integrated successfully into the end-to-end business process flow. They will have gained significant experience through multiple implementations and have begun to develop both depth and breadth in a number of engineering competencies. They have extensive knowledge of design and architectural patterns. They will provide engineering thought leadership within their teams, and will play a role in mentoring and coaching of less experienced engineers.

What we’ll offer you
As part of our versatile scheme, here are just some of the benefits that you’ll enjoy
• Best in class leave policy
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender neutral)




• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above

Your key responsibilities
• Design, develop, and maintain high-performance, fault-tolerant data pipelines using modern big data technologies.
• Implement data processing solutions to extract, transform, and load (ETL) data from various sources into our data platforms.
• Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver solutions that meet business needs.
• Optimize data processing jobs for performance and cost efficiency.
• Ensure data quality, integrity, and security across all data assets.
• Participate in code reviews, contribute to technical discussions, and

📌 BigData-Hadoop/Scala Engineer, AVP (Pune)
🏢 Deutsche Bank
📍 Pune