Big Data Platform Engineer @ING Hubs Romania

Discover ING Hubs Romania

ING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of over 2000 hi h-performin en ineers, risk, and operations professionals.

We started out in 2015 as ING's software development hub, then steadily expanded our range to include more services and competencies. Now we provide borderless services with bank-wide capabilities and operate from two locations: Bucharest and Cluj-Napoca.

Our tech capabilities remain the core of our business, with more than 1800 colleagues active in Data Management, Touchpoint Channels & Integration, Core Banking, and Global Products.

We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged.

For us, impact isn't a perk. It's the driver of our work. We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you?

The Mission

As a Big Data Platform Engineer, you'll be at the heart of ING Wholesale Banking's data infrastructure, helping to shape and sustain one of the largest Data Lakes in the organization. Your mission is to ensure the platform is scalable, secure, and high-performing--supporting large data workloads and enabling seamless collaboration across data engineering, ETL, and BI teams. You'll also play a key role in bridging platform engineering with DevOps, driving automation and reliability in our big data operations.

Your day to day

. Administer and optimize Cloudera Data Platform clusters (CDP/CDH/Cloudera Manager)

. Monitor and tune core Hadoop ecosystem components: HDFS, YARN, Hive, Spark

. Automate cluster operations and CI/CD workflows using Azure DevOps and pipelines

. Implement and maintain security and governance frameworks (Kerberos, Ranger, Atlas)

. Collaborate with developers and ETL engineers to troubleshoot performance issues across Spark jobs, Hive queries, and resource utilization

. Contribute to capacity planning, cluster tuning, and resource optimization strategies

What you'll bring to the team

. 4+ years of hands-on experience managing production-grade Cloudera/Hadoop environments

. Deep expertise in:

o HDFS replication and management

o Hive optimization and Metastore tuning

o Spark on YARN performance tuning

o Cloudera Manager configuration and automation

. Strong scripting skills (Python, Bash, or Ansible)

. Experience with CI/CD automation using Azure DevOps

. Solid understanding of Linux systems, performance tuning, and networking fundamentals

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