BigData-Hadoop/Scala Engineer, AVP

Deutsche Bank; Pune District; Presencial; INR 3.500.000 - 5.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Best in class leave policy

Gender neutral parental leaves

Childcare reimbursement

Certifications and education support

Employee Assistance Program

Descripción de la vacante

Deutsche Bank in Pune, India is seeking a BigData-Hadoop/Scala Engineer, AVP to design and implement high-performance data pipelines using Spark and GCP services. You will collaborate with data scientists and engineers to deliver scalable ETL solutions and ensure data quality and security across data assets.

The role requires strong Java/Scala skills, Spark expertise, and experience with Airflow, Dataproc, and BigQuery.

Formación

• 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: Airflow, Dataproc, BigQuery.
• Solid understanding of data warehousing concepts, ETL/ELT, and data modeling.
• Experience with version control systems (Git).
• Strong problem-solving and collaboration skills; familiarity with Angular/React.

Responsabilidades

• Design, develop, and maintain high-performance, fault-tolerant data pipelines using modern big data technologies.
• Implement data processing solutions to ETL data from various sources into data platforms.
• Collaborate with data scientists, analysts, and engineers to meet business needs.
• Optimize data processing jobs for performance and cost efficiency.
• Ensure data quality, integrity, and security across data assets.
• Participate in code reviews and mentor junior team members.
• Stay current with emerging technologies in the big data ecosystem.

Conocimientos

Java

Scala

Spark

ETL/ELT

Data warehousing

Git

Angular/React

Python

Data modeling

Cloud basics

Herramientas

Airflow

Dataproc

BigQuery

Unix/Linux scripting

CI/CD

Descripción del empleo

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 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.
• 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 inPythonfor data manipulation, scripting, or data science-related tasks.
• Experience with relational databases, particularlyOracle.
• 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.
• 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.