BigData-Hadoop/Scala Engineer, AVP

Deutsche Bank AG; Maharashtra; On-site; INR 2,500,000 - 4,500,000; Full time

Benefits offered by this job

Best in class leave policy

Gender neutral parental leaves

Childcare assistance reimbursement

Industry certifications sponsorship

Employee Assistance Program

Hospitalization Insurance for you and/

Job summary

Deutsche Bank AG in Pune, India seeks a BigData-Hadoop/Scala Engineer AVP to design and develop end-to-end data pipelines using Spark and GCP services. You will collaborate with data scientists and engineers to deliver scalable ETL solutions, optimize performance and ensure data quality across platforms.

The role requires strong Java/Scala skills, experience with Spark, and familiarity with Angular/React for UI interactions. A robust set of benefits is offered within a flexible work scheme.

Qualifications

• Strong proficiency in Java and/or Scala for big data application development.
• Extensive experience with Apache Spark for large-scale data processing.
• Hands-on experience with Google Cloud Platform services including Airflow, Dataproc, and BigQuery.

Responsibilities

• Design, develop, and maintain high-performance, fault-tolerant data pipelines using modern big data technologies.
• ETL/ELT data from various sources into data platforms and optimize processing for performance and cost.
• Collaborate with data scientists, analysts, and engineers to meet business data needs and ensure data quality.

Skills

Java

Scala

Apache Spark

GCP

Airflow

Dataproc

BigQuery

Git

Angular/React

Unix/Linux scripting

Education

Bachelor’s degree or higher

Tools

Dataproc

Oracle

CI/CD tooling

Job description

Job Description: Job Title: BigData-Hadoop/Scala Engineer, AVP Location: Pune, IndiaRole DescriptionAn 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 youAs part of our flexible scheme, here are just some of the benefits that you’ll enjoyBest in class leave policyGender neutral parental leaves100% reimbursement under childcare assistance benefit (gender neutral)Sponsorship for Industry relevant certifications and educationEmployee Assistance Program for you and your family membersComprehensive Hospitalization Insurance for you and your dependentsAccident and Term life InsuranceComplementary Health screening for 35 yrs. and aboveYour key responsibilitiesDesign, 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 experienceMust-Have SkillsStrong 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 youTraining and development to help you excel in your careerCoaching and support from experts in your teamA culture of continuous learning to aid progressionA range of flexible benefits that you can tailor to suit your needsAbout us and our teamsPlease visit our company website for further information:https://www.db.com/company/company.htmlWe 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.