Associate

Deutsche Bank

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cary, NC
Salary
$116,000–$140,000 / yr
Posted
39 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $123k
This role $128k
$96k most similar roles pay here $150k

This role pays more than 55% of similar roles. Most pay $102,250–$143,787 — the shaded band above. At the midpoint, this role pays about $128k versus about $123k for comparable roles.

Based on 240 similar postings.

Employer

About Deutsche Bank

Deutsche Bank is a German multinational investment bank and financial services company offering corporate banking, investment banking, retail banking, asset management, and transaction banking worldwide. Industry: Investment Banking & Financial Services

Deutsche Bank currently has 18 open roles on FindRole.

Listed pay typically runs $125,000–$165,000 across 18 roles with salary data.

Most-posted roles

View all roles at Deutsche Bank

At a glance

TL;DR · Associate

Associate The Associate joins the DB Global Technology team to develop and refine cloud architecture, roadmaps, standards, and best practices to support organizational cloud adoption. This role involves designing and implementing distributed data processing pipelines with performance tuning, partitioning, and fault tolerance using Apache Spark on Hadoop-based platforms and cloud environments. The individual will build near-real-time and batch data pipelines utilizing Apache Kafka and REST API integrations while creating metadata-driven ingestion frameworks for diverse sources. Key technical requirements include experience with HDFS, Hive, YARN, and cloud services from AWS, GCP, or Azure. The role involves managing workflows via Airflow and Control-M, implementing CI/CD pipelines using Git, Jenkins, and Terraform, and integrating relational databases like PostgreSQL, Oracle, and MySQL with data formats such as Parquet, JSON, and XML to ensure robust security and scalable processing.

What you'll do

  • Develop and refine cloud architecture roadmaps, standards, and best practices to support corporate technology strategy.
  • Design and implement distributed data processing pipelines using Apache Spark on cloud and Hadoop platforms.
  • Build near-real-time and batch data pipelines utilizing Apache Kafka and REST API integrations.
  • Create metadata-driven ingestion and transformation frameworks to support reusable, configurable pipelines across diverse sources.
  • Manage enterprise data workflow orchestration and monitoring using Airflow, Control-M, and cloud-native scheduling tools.
  • Implement CI/CD pipelines and infrastructure automation using Git, Jenkins, and Terraform.
  • Integrate heterogeneous enterprise data sources and relational databases including PostgreSQL, Oracle, and MySQL.

What we're looking for

  • A Bachelor's degree in Computer Engineering or a related field is required, or an equivalent qualification.
  • Candidates must have experience designing and implementing distributed data processing pipelines using Apache Spark.
  • Experience is required in developing cloud-based data architectures and data lakes with robust security controls.
  • Proficiency in building near-real-time and batch data pipelines with Apache Kafka and REST API integrations is required.
  • Candidates must have experience creating metadata-driven ingestion and transformation frameworks for diverse data sources.
  • Experience operating big data workloads in Hadoop ecosystems (HDFS, Hive, YARN) and cloud platforms (AWS/GCP/Azure) is required.
  • Proficiency in managing enterprise data workflow orchestration using Airflow, Control-M, and cloud-native scheduling tools is required.
  • Candidates must be able to implement CI/CD pipelines and infrastructure automation using Git, Jenkins, and Terraform.

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