Senior Data Engineer, Avp

Deutsche Bank

Pune, India
Hybrid
Pyspark/dbt/bigquery data pipelines
Google cloud platform (gcp)
Java/scala/kotlin with apache spark
You will be working in the Transaction Monitoring and Data Controls team designing, implementing, and operationalising Java components

Job Summary

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

Matching Summary

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

Skills & Requirements

Must-have

  • PySpark/DBT/BigQuery data pipelines
  • Google Cloud Platform (GCP)
  • Java/Scala/Kotlin with Apache Spark
  • Python with PySpark
  • SQL based using DBT
  • DevOps pipelines CI/CD

Nice-to-have

  • Agile delivery model
  • Cloud computing expertise
  • Software design and architecture
  • Secure enterprise hybrid cloud environment
  • Globally distributed team collaboration

Key Requirements

  • At least one data warehousing technology (ideally Google Big Query)
  • Experience writing and maintaining DevOps pipelines
  • Experience contributing to software design and architecture
  • Experience navigating and engineering within a secure, enterprise hybrid cloud environment
  • Experience of working with a globally distributed team

Work Rights

Not specified

Tailored Resume

Cover Letter