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

Data Engineer with Azure @ Mindbox S.A.

Polsko

• Significant experience in development with Python and SQL programming languages
• Understanding in applying data engineering methods to the cyber security domain
• Experience designing, building, and maintaining data pipelines and ELT workflows across disparate data sets
• Data profiling and analysis
• Data pipeline design
• Streaming pipelines
• Experience with Azure DevOps, code (Python, SQL, SPARK)  coupled with experience with software versioning control systems (e.g. git) and CI/CD systems.
• An ability to communicate complex and technical issues to diverse audiences, orally and in writing, in an easily-understood, authoritative and actionable manner.
• Being enthusiastic and willing to learn more about the area of Cybersecurity
• Hands-on experience working in an Agile 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.

,[Designing, building and testing, the multi-layered data architecture as well as efficient and maintainable data pipelines which feed into reporting, data analytics and future machine learning models, Performing in-depth analysis of large, complex and dynamic datasets to extract useful insights and produce the statistical metrics required for the generation of business reports and assessment of the current data estate, Develop software / systems which acquire, aggregate and refine data, Use data tools to perform data integration across different databases / systems / platforms, Optimize Data Query Performance, Participate in data ingestion, sourcing, aggregation, APIs, feature engineering etc, Collaborate with a wide range of stakeholders to gain a better understanding of the data and the business domain around this data in order to align the deliverables to the business requirements , Using good software development practices to write efficient, reusable and maintainable software by adopting the team’s DevOps practices, Working with Agile development practices in mind, including test-driven development, Developing those of the above skills which the role holder does not currently bring to the role] Requirements: Python, SQL, Spark, ELT, CI/CD, Azure, Azure DevOps, Cybersecurity, Databricks Tools: Agile, Scrum. Additionally: Sport Subscription, Private healthcare, Life insurance, Training budget.

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data

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