Hadoop Data Engineer @ Mindbox S.A.

We are the team that provides the metrics and analytical products that drive change in DevOps practices across the bank. We provide the key measures that track performance and capabilities of our engineering teams across the world, and the critical insights and intelligence that leadership teams rely on to shape and deliver strategic change.

Creating an inspiring place to thrive for the talented, we use their expertise and courage to introduce the technology of the future into your business. - This is the foundation of Mindbox  and the goal of our business and technology journey. We operate and develop in four areas :

Autonomous Enterprise  - automation of business processes using RPA, OCR, and AI.

Business Managment Systems ERP  - we implement, adapt, optimize, and maintain flexible, safe, and open ERP of production and distribution companies worldwide.

Talent Network  - we provide access to the best specialists.

Modern Architecture  - we build integrated, sustainable, and open CI / CD environments based on containers enabling safe and more frequent delivery of proven changes in the application code.

We treat technology as a tool to achieve a goal. Thanks to our consultants' reliability and proactive approach, initial projects usually become long-term cooperation. For over 16 years, it has provided various services to support clients in digital transformation.

• Scala
• Experience designing and deploying large scale distributed data processing systems with few technologies such as PostgreSQL or equivalent databases, SQL, Hadoop, Spark, Tableau
• Proven ability to define and build architecturally sound solution designs.
• Demonstrated ability to rapidly build relationships with key stakeholders.
• Experience of automated unit testing, automated integration testing and a fully automated build and deployment process as part of DevOps tooling.
• Must have the ability to understand and develop the logical flow of applications on technical code level
• Strong interpersonal skills and ability to work in a team and in global environments.
• Should be proactive, have learning attitude & adjust to work in dynamic work environments.
• Exposure in Enterprise Data Warehouse technologies
• Exposure in a customer facing role working with enterprise clients.
• Experience with industry standard version control tools (Git, GitHub), automated deployment tools (Ansible & Jenkins) and requirement management in JIRA.

We are the team that provides the metrics and analytical products that drive change in DevOps practices across the bank. We provide the key measures that track performance and capabilities of our engineering teams across the world, and the critical insights and intelligence that leadership teams rely on to shape and deliver strategic change.

Creating an inspiring place to thrive for the talented, we use their expertise and courage to introduce the technology of the future into your business. - This is the foundation of Mindbox  and the goal of our business and technology journey. We operate and develop in four areas :

Autonomous Enterprise  - automation of business processes using RPA, OCR, and AI.

Business Managment Systems ERP  - we implement, adapt, optimize, and maintain flexible, safe, and open ERP of production and distribution companies worldwide.

Talent Network  - we provide access to the best specialists.

Modern Architecture  - we build integrated, sustainable, and open CI / CD environments based on containers enabling safe and more frequent delivery of proven changes in the application code.

We treat technology as a tool to achieve a goal. Thanks to our consultants' reliability and proactive approach, initial projects usually become long-term cooperation. For over 16 years, it has provided various services to support clients in digital transformation.

We are looking for Data Engineers to join the IT team within the Environmental, Social & Governance department of the Data and Analytics office. The engineering team is responsible for taking business logic / poc asset designs and using them to create robust data pipelines using spark in scala. Our pipelines are orchestrated through airflow and deployed through a Jenkins based CICD pipeline. We operate on a private GCP instance and an on-premises Hadoop cluster. Engineers are embedded in multi-disciplinary teams including business analysts, data analysts, data engineers and software engineers and architects.] Requirements : Hadoop, HDFS, Google cloud platform, Scala, SQL, Hive, Apache Spark, Airflow, PostgreSQL, Tableau, Big Query , Cloud Dataflow, Cloud DataProc Tools : Agile, Scrum. Additionally : Sport Subscription, Private healthcare, Life insurance, Training budget.