Deutsche Bank
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Pune · On-site · 1-3 Yrs · Sep 29
Banking & Lending · 10000+ Employees · Frankfurt am Main, Germany
Deutsche Bank is Germany’s leading bank with a strong European foundation and a global network spanning the Americas, Asia Pacific and other key markets. For over 150 years, we have supported clients in navigating change, capturing opportunities and achieving their ambitions. Today, we serve corporations, governments, institutions, investors and individuals through our market-leading Corporate Bank, Investment Bank, Private Bank and Asset Management businesses. Guided by our purpose and driven by innovation, we continue to invest in digital technologies, sustainable growth and the development of our people. At Deutsche Bank, you’ll find opportunities to learn, grow and make a meaningful impact as part of a global team.
Hiring: Engineering
What employees say
+ Great working environment and supporting managers and peers.
− There are no cons as such
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Interview experience · TDI Internship
Online Assessment Two Technical Rounds followed by One HR round In the technical rounds, DSA , OOPS, DBMS was asked. In the second technical round, in depth project explanation took place.
Average difficulty · Jaipur, Rajasthan · 745 reports
More interview insightsJob description
Overview
BigData-Hadoop/Scala Engineer, AVP Position Overview
Responsibilities
- 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
- 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 mentor junior team members.
- Stay current with emerging technologies and best practices in the big data ecosystem.
Qualifications
- Strong proficiency inJava and/or Scalafor big data application development.
- Extensive experience withApache Sparkfor large-scale data processing.
- Demonstrable knowledge and hands-on experience withGoogle Cloud Platform (GCP)services, specifically:
- Airflowfor workflow orchestration.
- Dataprocfor managed Spark/Hadoop clusters.
- BigQueryfor data warehousing and analytics.
- Solid understanding of data warehousing concepts, ETL/ELT principles, and data modeling.
- Strong problem-solving skills and the ability to troubleshoot complex data issues.
- Excellent communication and collaboration skills.
- Understanding of Angular/React frameworks.
- Proficiency inPythonfor data manipulation, scripting, or data science-related tasks.
- Competency inUnix/Linux scriptingfor automation and system administration tasks.
- Familiarity with other cloud platforms (e.g., AWS, Azure) is a plus.
- Knowledge of CI/CD pipelines and DevOps practices.
- Understanding of data governance and data security best practices.
- Training and development to help you excel in your career
- Coaching and support from experts in your team
- A culture of continuous learning to aid progression
- A range of flexible benefits that you can tailor to suit your needs
- Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
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Job application FAQ
Last updated 1 October 2026
- How do I apply for BigData-Hadoop/Scala Engineer, AVP at Deutsche Bank?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Deutsche Bank may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this BigData-Hadoop/Scala Engineer, AVP role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is BigData-Hadoop/Scala Engineer, AVP remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this BigData-Hadoop/Scala Engineer, AVP role at Deutsche Bank?
- This is a mid-level BigData-Hadoop/Scala Engineer, AVP role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.