Chapter Lead Data Lake Platform @ING Hubs Romania

The Mission

The Chapter Lead’s role is to manage and develop a mature team of DevOps engineers responsible for maintaining, adding new features and monitoring IT Risk controls for one of the biggest DataLake platforms in ING.

He / She will act as Technical Product Owner for the squad and as a Coach on technical side, but also a People Manager (including performance management) and will be part of the Data Management department.

Your day to day

Even if you’ll start your day from the comfort of your home or drink your morning coffee in our office’s garden, your day will be quite similar when comes to tasks. Here are your daily responsibilities:

• Articulate the product vision while capturing input from the stakeholders
• Coordinate the activities and priorities of the team to meet the delivery commitments
• Identify opportunities and provide solutions for improvement
• Manage communication with stakeholders and act as contact person for the team
• Provide continuous coaching and mentoring by clarifying job responsibilities, setting performance expectations through the establishment of goals and job competencies, identifying skill gaps, creating development plans and evaluating performance
• Assess the efficiency of end-to-end operational processes by identifying and mitigating risks
• People Management of highly talented DevOps engineers
• Contribute to strategy and lifecycle management of Data Lake implementation
• Collaborate closely with an international team made of Chapter Leads, Product Owners, Agile Coaches, Business Analysts, Architects, ETL DevOps engineers and Infrastructure Specialists
• Manage IT risk work and communication with the IT risk team
• Up to date with the latest industry standards and trends in the area of Data Management

What you’ll bring to the team

• Experience:
  • As People Manager of a platform / infrastructure team;
  • As Technical Product Owner of a DevOps squad responsible for platform development and maintenance;
  • Strong technical background on Cloudera Data Platform clusters (CDP/CDH/Cloudera Manager) and platform maintenance;
  • Hadoop ecosystem components: HDFS, YARN, Hive, Spark
  • HDFS replication and management;
  • Hive optimization and Metastore tuning;
  • Spark on YARN performance tuning;
  • Automating cluster operations and CI/CD workflows using Azure DevOps and pipelines;
  • Security and governance frameworks (Kerberos, Ranger, Atlas)
  • Capacity planning, cluster tuning, and resource optimization strategies
  • With administering Linux systems;
  • With Ansible playbooks;
  • With CI / CD;
  • With vendor management;
  • With IT Risk controls, Incident Management, Security, Reliability, Disaster Recovery;
  • With Agile – Scrum methodology;
  • IT Architecture know-how is a plus;
  • In Banking industry is considered a plus.
• Knowledge:
• Mandatory:
  • Cloudera Data Platform clusters (CDP/CDH/Cloudera Manager);
  • Hadoop ecosystem components: HDFS, YARN, Hive, Spark, NiFi;
  • Security and governance frameworks: Kerberos, Ranger, Atlas;
  • Networking;
  • OS: Red Hat Enterprise Linux Server;
  • CI/CD: Azure DevOps  Pipelines;
  • Scripting : Ansible, Bash, Python;
  • Monitoring: Kibana-Logstash (data visualization plugin for Elastic Search), Grafana & Prometheus for server and infrastructure
  • Private Cloud Solutions
  • Oracle DB, Data Lake and Big Data know-how, ETL tooling;
• Nice to have:
  • Kafka, Oracle Databases, Oracle APEX;
  • Ability to translate functional and non-functional requirements (eg. Security, Scalability, Integration);
  • Azure DevOps Pipelines or equivalent CI/CD pipelines ( Jenkins, GitLab etc)
  • Experience working with real time streaming
  • Direct / indirect experience working with ETL tooling like DataStage, Informatica, DBT;
  • Overall experience as a developer is a plus;
  • Experience with automated testing tools.
• Soft skills:
  • Excellent communication and leadership skills

Foreign languages: English (advanced)

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