BigData-Hadoop/Scala Engineer, AVP
Deutsche Bank — Pune, PUNE
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Job Description
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 flexible 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 mentor junior team members.
- Stay current with emerging technologies and best practices in the big data ecosystem.
Your skills and experience
Must-Have Skills
- Strong proficiency in Java and/or Scala for big data application development.
- Extensive experience with Apache Spark for large-scale data processing.
- Demonstrable knowledge and hands-on experience with Google Cloud Platform (GCP) services, specifically:
- Airflow for workflow orchestration.
- Dataproc for managed Spark/Hadoop clusters.
- BigQuery for data warehousing and analytics.
- Solid understanding of data warehousing concepts, ETL/ELT principles, and data modeling.
- Experience with version control systems (e.g., Git).
- Strong problem-solving skills and the ability to troubleshoot complex data issues.
- Excellent communication and collaboration skills.
- Understanding of Angular/React frameworks.
Good-to-Have Skills:
- Proficiency in Python for data manipulation, scripting, or data science-related tasks.
- Experience with relational databases, particularly Oracle.
- Competency in Unix/Linux scripting for 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.
- Experience working in the financial services industry.
- Experience developing UI using Angular/React.
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.
How we’ll support you
- 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
About us and our teams
Please visit our company website for further information:
https://www.db.com/company/company.html
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
Frequently Asked Questions
What are the eligibility criteria for the BigData-Hadoop/Scala Engineer, AVP job at Deutsche Bank?
Eligibility typically includes the qualifications and experience outlined in the job description above, with around 0-5 Years years of relevant experience expected for this role.
What are the primary responsibilities of a BigData-Hadoop/Scala Engineer, AVP at Deutsche Bank?
The key responsibilities for this role are detailed in the Key Responsibilities section above, covering the core duties expected of a BigData-Hadoop/Scala Engineer, AVP at Deutsche Bank.
Is prior experience required for this position?
This role requires around 0-5 Years years of relevant experience, as specified in the job listing. Please refer to the Qualifications & Experience section above for full details.
What skills are important for this role?
Skills relevant to this position are outlined in the Qualifications & Experience section above. In general, strong communication, domain knowledge, and the ability to meet role-specific targets are valued across similar BFSI positions.
How do I apply for the BigData-Hadoop/Scala Engineer, AVP role at Deutsche Bank?
You can apply directly using the Apply Now button on this page, which will take you to Deutsche Bank's application process for this role.
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