Addepto

Data Engineer (Spark)

15.1k - 21k PLN15 120 - 21 000 PLN/ mies./ mies.B2BB2B (netto)

MidZdalnie·WarszawaFull-time·B2B

#465986·Dodano 12 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

IcebergSpark HadoopClouderaSQL PythonData IntegrationDatabricksDBT

Podsumowanie oferty

Develop and maintain data processing platforms and pipelines across automotive, aerospace, and telecommunications projects. Work with large-scale data in streaming and batch modes using Spark, Cloudera, Airflow, Iceberg, Python, and AWS.

Wymagania

At least 3 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance, and data management processes.
Strong programming skills in Python (or Java/Scala), including clean code and OOP design.
Hands-on experience with Big Data technologies such as Spark, Cloudera, Data Platform, Airflow, Kafka, NiFi, Docker, and Iceberg.
Excellent understanding of dimensional data and data modeling techniques.
Experience implementing and deploying solutions in cloud environments.
Consulting experience, strong communication and client management skills, and prior direct client interaction as a consultant.
Ability to work independently and take ownership of project deliverables.
Fluent English (at least C1 level).
Bachelor’s degree in technical or mathematical studies.

Nice to have:

Experience with an MLOps framework such as Kubeflow or MLflow.
Familiarity with Databricks and/or dbt.

Obowiązki

Develop and maintain a high-performance data processing platform for automotive data, ensuring scalability and reliability.
Design and implement data pipelines for large volumes of streaming and batch data.
Optimize data ingestion, processing, and storage workflows using Spark, Cloudera, and Airflow.
Use data lake technologies such as Iceberg to manage structured and unstructured data.
Collaborate with cross-functional teams to understand data requirements and integrate data sources.
Monitor and troubleshoot the platform to ensure availability, performance, and data processing accuracy.
Use AWS services to manage infrastructure and scale processing workloads.
Write and maintain high-quality Python (or Java/Scala) code for data processing and automation.

Benefity

Language classes.
Sponsored training and conferences, including access to training materials and certifications through partnerships with Databricks and Anthropic.
Team-building events and an integration budget.
Medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Full work equipment, including a laptop and other necessary devices.
A dedicated onboarding buddy.

Kursy językowe

Dofinansowanie szkoleń

Budżet konferencyjny

Spotkania integracyjne

Opieka zdrowotna

Karta sportowa

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