Data Engineer @

Minimum 5 years of overall IT experience, including 2+ years in software development with Big Data technologies, microservices, and cloud-based event-driven architectures.Strong hands-on expertise with Apache NiFi, Apache Kafka, Apache Spark, Apache Hive, Apache HDFS, Apache Oozie, SQL, Python, Google SDK, REST API, Linux Shell Scripting.Solid database knowledge: at least one SQL database (Oracle, Teradata, MySQL, PostgreSQL, MS SQL Server) and one NoSQL database (MongoDB, Apache HBase).Experience with Hadoop ecosystems (Hortonworks/Cloudera) for large-scale data storage and analytics.Strong understanding of RDBMS, Star Schema design, Slowly Changing Dimensions, and CDC (Change Data Capture).Proven experience building automated data flows with Apache NiFi and real-time pipelines with Apache Kafka.Familiarity with cloud platforms (AWS, GCP, Azure) – GCP preferred.
Knowledge of clean coding principles: DRY, KISS, SOLID, Clean Code, Self-documenting Code.Optional but desirable: experience with BigQuery, DataProc, Java SpringBoot.Ability to work effectively in English on a daily basis.Positive, proactive, and can-do attitude with strong collaboration skills.

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.

#LI-Hybrid 

We offer:

We are open to the employment form according to your preferences Work with experienced and engaged team, willing to learn, share knowledge and open for growth and new ideas Hybrid working system Mindbox is a dynamically growing IT company, but still not a large one – everybody can have a real impact on where we are going nextWe invest in developing skills and abilities of our employeesWe have attractive benefits and provide all the tools required for work f.e. computerInterpolska Health Care, Multisport, Warta Insurance, training platform (Sages)  ,[Design, build, and test complex data products, ensuring seamless integration across multiple sources, Monitor emerging trends in data tools, analytics techniques, and data usage, and drive the adoption of innovative solutions., Develop scalable, resilient, and future-proof data integration architectures., Perform data modeling across multiple business domains, including reverse engineering and applying industry-recognized standards and patterns., Troubleshoot and resolve issues related to databases, data processes, and data products, while implementing preventive measures., Program and automate data processes in alignment with agreed coding standards and best practices (e.g., DRY, KISS, SOLID, Clean Code)., Collaborate closely with multidisciplinary global teams, ensuring transparency and knowledge sharing., Ensure compliance with Client's internal controls, regulatory standards, and risk management practices., Deliver high-quality solutions within agreed timelines, balancing strategic objectives with immediate business needs., Contribute to building a culture of innovation, continuous improvement, and operational excellence.] Requirements: Big Data, Microservices, NiFi, Apache Kafka, Apache Spark, Apache Hive, HDFS, SQL, Python, SDK, REST API, Linux, Shell, Oracle, Teradata, MySQL, PostgreSQL, MS SQL Server, NoSQL, MongoDB, Apache HBase, Hadoop, Storage, RDBMS, AWS, Azure, DRY, KISS, SOLID, Clean Code, GCP, BigQuery, DataProc, Java, Spring Boot Additionally: Sport subscription, Private healthcare, International projects, Free coffee.

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