Senior Data Engineer, AVP

Reposted Yesterday
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Magarpatta, Hadapsar, Pune, Maharashtra
In-Office
Senior level
Fintech • Financial Services
The Role
Design and implement scalable data pipelines using tools like PySpark and BigQuery, ensuring data quality and collaborating across teams. Responsibilities include maintaining DevOps pipelines and optimizing data warehousing solutions.
Summary Generated by Built In
Job Description:

Job Title: Senior Data Engineer, AVP

Location: Pune, India

Role Description

Our Technology, Data and Innovation (TDI) strategy is focused on strengthening engineering expertise, introducing an agile delivery model, as well as modernising the bank's IT infrastructure with long-term investments and taking advantage of cloud computing. 

  

You will be working in the Transaction Monitoring and Data Controls team designing, implementing, and operationalising Java components.

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, build, and maintain scalable and reliable PySpark/DBT/BigQuery data pipelines, pre-dominantly on Google Cloud Platform (GCP) to process high-volume transaction data for regulatory and internal compliance monitoring.
  • Implement robust data quality frameworks and monitoring solutions to ensure the accuracy, completeness, and timeliness of data within our critical transaction monitoring systems.
  • Contributing to DevOps capabilities to ensure maximum automation of our applications
  • Collaboration across the TDI areas such as Cloud Platform, Security, Data, Risk & Compliance areas to create optimum solutions for the business, increasing re-use, creating best practice, and sharing knowledge

Your skills and experience

  • Expert hands-on Data Engineering using at least one of:
    • Java/Scala/Kotlin in a toolset such as Apache Spark, Dataflow/Apache-Beam, Apache Flink
    • Python in a toolset such as PySpark or Dataflow/Apache-Beam
    • SQL based using DBT
  • Professional experience of at least one data warehousing technology (ideally Google Big Query), including knowledge of partitioning, clustering, and cost/performance optimization strategies.
  • Hands on experience writing and maintaining DevOps pipelines in at least one "CI/CD" tool such as Team City, Jenkins, GitHub Actions.
  • Experience contributing to software design and architecture including consideration of meeting non-functional requirements (e.g., reliability, scalability, observability, testability) and understanding of relevant Architecture styles and their trade-offs - e.g., Data Warehouse, ETL, ELT, Monolith, Batch, Incremental loading vs Stateless processing
  • Experience navigating and engineering within a secure, enterprise hybrid cloud environment within a large, regulated, and complex technology landscape
  • Experience of working with a globally distributed team requiring remote interaction across locations, time zones and diverse cultures and excellent communication skills (verbal and written)

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.

Top Skills

Apache Beam
Apache Flink
Spark
Ci/Cd
Dataflow
Dbt
Github Actions
Google Bigquery
Java
Jenkins
Kotlin
Pyspark
Python
Scala
SQL
Team City
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The Company
HQ: Frankfurt am Main
68,787 Employees

What We Do

At Deutsche Bank, we give original thinkers the space and support they need to shine. Merging local knowledge with global vision, in-depth insight with industry-leading digital expertise, if you’re an innovator by nature, we can help you to unleash your potential.

We see things differently at Deutsche Bank – and we’re proud of our fresh perspective. Today, we’re driving growth through our strong client franchise, investing heavily in digital technologies, prioritising long-term success over short term gains, and serving society with ambition and integrity.

Wherever your interests lie – in investment banking, trading, private wealth, asset management, retail banking - or many of the infrastructure functions that support them – you’ll discover resources, training and opportunities designed to keep you ahead of the curve.

Intelligence has no boundaries: we welcome high-achieving, talented individuals from any background.

If you’re full of imagination, enjoy solving problems and respond positively to complex challenges, discover a career to look forward to and join us!

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