Data Engineer with Azure @ STX Next (práce v Polsku)

Data Engineer with Azure @ STX Next

Polsko

Technical expertise

• Solid experience in designing scalable data processing systems (including pipelines, advanced ETL processes, data warehouses, and lakes).
• Proficiency in Microsoft Azure and its data solutions.
• Strong SQL skills and experience with relational databases (MySQL, PostgreSQL).
• Familiarity with NoSQL databases (e.g., HBase, DynamoDB, MongoDB).
• Familiarity with data warehousing solutions (e.g., Snowflake, Databricks, BigQuery, Redshift).
• Understanding of distributed data processing systems (e.g., Apache Spark, Apache Flink).

Software development practices

• Proficiency in Python 3.x or Scala, with knowledge of advanced Python constructs (e.g., lambda functions, generators, list comprehensions).
• Core understanding of object-oriented programming principles.
• Experience with threading and multi-process computation.
• Familiarity with Git for version control and Docker for containerization.

Soft skills

• Good communication skills in English (minimum B2).
• A passion for continuous learning and embracing new technologies.
• Strong problem-solving skills and analytical thinking.

Extra points for

• Knowledge of message broker systems (e.g., Apache Kafka, AWS Kinesis).
• Experience with orchestration tools (e.g., Apache Airflow, Dagster).
• Familiarity with search systems (e.g., Elasticsearch, Solr).
• Experience with CI/CD tools (e.g., GitHub Actions).
• Hands-on experience with big data frameworks (e.g., Hadoop, Hive, Presto).
• Understanding of machine learning or statistical methods.
• Development skills in REST API or GraphQL.
• Experience with web scraping techniques.

Hi there! 

We are STX Next, a global IT consulting company specializing in customer-focused software services. Join a group of 500 professionals dedicated to helping customers build outstanding products. Leveraging the latest advancements in the field, and a passion for innovation, were shaping the future of technology one project at a time.

Job description

At STX Next, Data Engineers are creative problem-solvers who thrive at the intersection of data, innovation, and technology. Our approach to challenges is both collaborative and inventive, driven by the belief that every obstacle has a solution. You’ll join a dedicated team that transforms data into valuable systems, addressing clients needs and elevating the experience for end users.

As a Data Engineer, you’ll work closely with international clients, providing both consultancy and technical architecture to shape reliable, high-performance data solutions. You’ll handle everything from large data sets to distributed systems, setting a high bar for data quality. If you’re excited by complex problems and want to contribute to a collaborative culture of craftsmanship, STX Next offers the platform to bring your ideas to life.

Benefits

• Work-life Balance: We are open to discussing individual needs. Set up working hours and limited remote work scheduled with your team and manager, in a way that works for both sides.
• Reimbursed private medical care (Medicover) and Multisport : We care about the health and well-being of our colleagues. Choose a sports card and dedicated medical care for yourself and your relatives.
• Leader’s support: Work with true enthusiasts and professionals who will support you along the way. You can count on leaders and experts who are willing to share their knowledge so that you too can join their ranks someday.
• Technology focus: Python and JavaScript are not our only strengths, we are also very good at React Native, IoT, Machine Learning, .Net, DevOps and Blockchain.
• Growth review: Junior, Regular or Senior? Every year we have a chance to discuss acquired skills and prepare a development plan for upcoming months.
• Events: Attend exciting internal webinars, celebrate special days with us, and join us at conferences and meetups as a listener or speaker!
• Workation: Team trips where you have a chance as a team not only to work together, but also integrate f2f.

,[Develop innovative solutions for complex data challenges, using creativity and technology., Design and build data systems that fulfill client requirements and optimize user experience., Collaborate across teams to integrate unique approaches and out-of-the-box thinking into problem-solving., Serve as a trusted consultant and architect for customized data solutions for global clients., Handle large-scale data processing and manage distributed systems to ensure reliability and performance., Uphold high data quality standards and refine approaches to align with best practices., Foster a culture of collaboration, craftsmanship, and continuous improvement.] Requirements: ETL, Data warehouses, Microsoft Azure, SQL, Relational database, PostgreSQL, NoSQL, HBase, AWS DynamoDB, MongoDB, Snowflake, Databricks, BigQuery, Redshift, Apache Spark, Apache Flink, Python, Scala, AWS Lambda, Apache Kafka, AWS, Kinesis, Airflow, Elasticsearch, CD tools, GitHub Actions, Big Data, Hadoop, Hive, Presto, Statistical methods, REST API Additionally: Private healthcare, Sport subscription, International projects, Playroom, No dress code, In-house trainings, Modern office, Free coffee, Free parking.

Kategorie

data

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