Data Engineer @ Mindbox S.A.
(práce v Polsku)

Data Engineer @ Mindbox S.A.

Polsko

• Pyspark or Scala development and design.
• Experience using scheduling tools such as Airflow.
• Experience with most of the following technologies (Apache Hadoop, Pyspark, Apache Spark, YARN, Hive, Python, ETL frameworks, Map Reduce, SQL, RESTful services).
• Sound knowledge on working Unix/Linux Platform
• Hands-on experience building data pipelines using Hadoop components - Hive, Spark, Spark SQL.
• Experience with industry standard version control tools (Git, GitHub), automated deployment tools (Ansible & Jenkins) and requirement 
  management in JIRA.
• Understanding of big data modelling techniques using relational and non relational techniques
• Experience on debugging code issues and then publishing the highlighted differences to the development team
  

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.

,[As a key member of the technical team alongside Engineers, Data Analysts and Business analysts, you will be expected to define and contribute at a high-level to many aspects of our collaborative Agile development process:, Software design, Pyspark development, automated testing of new and existing components in an Agile, DevOps and dynamic environment, Promoting development standards, code reviews, mentoring, knowledge sharing, Production support & troubleshooting., Implement the tools and processes, handling performance, scale, availability, accuracy and monitoring, Liaison with BAs to ensure that requirements are correctly interpreted and implemented., Participation in regular planning and status meetings. Input to the development process – through the involvement in Sprint reviews and retrospectives. Input into system architecture and design.] Requirements: Scala, PySpark, Python, SQL, ETL, BigQuery, Airflow, CI/CD, Shell, Spark, Hive, Apache Hadoop, Yarn, ELK Stack, Java Tools: Agile, Scrum. Additionally: Sport Subscription, Private healthcare, Life insurance, Training budget.

Kategorie

data

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