Data Engineer @ Reply Polska
(práce v Polsku)

Data Engineer @ Reply Polska

Polsko

• Educational Background: Bachelor’s or master’s degree in CS, Engineering, IT, or a related field.
• Very good knowledge of English and Polish.
• Programming Language: Strong programming skills in languages such as Python, Java or Scala.
• Cloud: Experience with public cloud providers AWS/Azure.
• Database Technologies: Knowledge of SQL and NoSQL databases.
• Expertise in Big Data Technologies: Familiarity with big data frameworks and tools like Spark, Kafka, Flink or others, formats such as Apache Iceberg.
• Data Modeling and Warehousing: Familiarity with data modeling and warehousing techniques.
• Strong Analytical Skills: Ability to analyze complex data structures and derive insights to provide strategic guidance.
• Excellent Communication: Strong interpersonal and communication skills to effectively collaborate with team members and clients.
• Problem Solving: Strong problem-solving skills and the ability to propose creative, efficient solutions to complex problems.
• Plus: Any additional experience with Docker, Kubernetes, DevOps practices, CI/CD, DBT.
• Nice to have experience with Databricks, DBT.
• Availability to work in a hybrid mode with at least 2 visits to the office per month.

About Data Reply

Data Reply, as part of the Reply Group, offers a wide range of services to help customers to become data driven. The team is active in various industries and business areas and works closely with clients to enable them to achieve meaningful results through the effective use of data.Data Reply offers many years of experience in transformation projects on the topic of "Data Driven Enterprise". Our experts focus on the development of Streaming and Event-Driven applications, Data Platforms and Machine Learning solutions - automated, efficient and scalable - without compromising IT security.

Benefits

• Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more.
• Language Courses – youll have access to a multi-language learning platform enabling you to practice you language skills and learn new ones!
• Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development.
• Cooperation within  an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions.

,[Data System Design: Design and implement robust, scalable data processing systems: this involves selecting appropriate storage technologies, designing schemas, and planning integration strategies., Data Integration and ETL Development: Develop and maintain pipelines for data transformation, integration, and ETL processes. Ensure data quality and accessibility, Performance Optimization: Monitor, tune, and optimize data applications and database performance. Address any issues that may affect data processing speeds or analytics capabilities, Consulting and Strategy: Provide expert advice and consultancy services to clients on data strategies, architecture choices, and technological advancements, Analytics and Business Intelligence Support: Assist in developing analytics platforms and business intelligence solutions, ensuring that data can be effectively transformed into actionable insights, Client Interaction: Work closely with clients to understand their business needs and technical requirements. Translate these requirements into effective data engineering solutions.] Requirements: Python, Java, AWS, Azure, SQL, NoSQL, Big data, Spark, Kafka, Flink, Docker, Kubernetes, DevOps, CI/CD, Databricks Tools: . Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, Lunch card, Small teams, International projects, Free coffee, Bike parking, Free beverages, Mobile phone, In-house trainings, Modern office, Startup atmosphere, No dress code.

Kategorie

data

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