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Streaming Data Engineer

~20.2k - 26.9k PLN20 160 - 26 880 PLN/ mies./ mies.B2BB2B (netto)

MidHybryda·KatowiceFull-time·B2B

#298749·Dodano 8 miesięcy temu·4

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Python SQLData warehouseAWS Azure Java Kafka Databricks

Firma i stanowisko

As part of the Reply group, Data Reply offers a wide range of services that support customers in becoming data driven. They operate in various industries and business areas, working intensively with customers to achieve meaningful results through effective use of data. Data Reply has many years of experience in transformation projects to achieve "data-driven companies". They focus on the development of data platforms, machine learning solutions, and streaming applications that are automated, efficient, scalable, and secure.

Wymagania

Bachelor’s or master’s degree in Computer Science, Engineering, IT, or a related field
Knowledge of the Kafka ecosystem (Kafka clusters, connectors and clients, Kafka Streams) and other streaming platforms (e.g., Flink)
Strong programming skills in Python, Java, or Kotlin
Experience with public cloud providers AWS and Azure
Knowledge of SQL and NoSQL databases
Familiarity with big data frameworks and tools like Spark and formats such as Apache Iceberg
Experience in Docker; familiarity with Kubernetes is nice to have
Familiarity with data modeling and warehousing techniques
Strong analytical skills to analyze complex data structures and provide strategic guidance
Strong interpersonal and communication skills
Very good knowledge of English and Polish
Strong problem-solving skills and ability to propose creative, efficient solutions
Nice to have experience with Databricks and DBT
Availability to work in a hybrid mode with at least 2 visits to the office per month

Obowiązki

Streaming Data Processing:

Design, implement, test and maintain highly scalable real-time stateless and stateful data transformations, ensuring low latency and data quality

Data System Design:

Design and implement robust, scalable data processing systems including 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 issues affecting 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 to transform data into actionable insights

Client Interaction:

Work closely with clients to understand business needs and technical requirements
Translate requirements into effective data engineering solutions

Benefity

Motivizer Benefits Platform with a monthly budget of 550 PLN to choose medical care package, meal tickets, sports cards (including Multisport and gym memberships), cinema tickets, shop vouchers, discounts, and more
Access to a multi-language learning platform for language courses
Regular and systematic training opportunities both internally and from external providers
Cooperation within an internal community including networking events, coding challenges, and company parties
Sport subscription
Training budget
Private healthcare
Lunch card
Free coffee
Bike parking
Free beverages
Mobile phone
In-house trainings
Modern office

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Telefon

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Parking dla rowerów

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