Senior Data Engineer (Spark)

21k - 28.6k PLN21 000 - 28 560 PLN/ mies./ mies.B2BB2B (netto)

SeniorZdalnie·WarszawaFull-time·B2B

#477890·Dodano 5 dni temu·1

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Python SQL Spark Airflow AWS CI/CD Kubernetes KafkaNiFiJava Scala Docker Databricks DevOpsIcebergCloudera

Podsumowanie oferty

As a Senior Data Engineer, you will work on projects including a data platform for global automotive data and a universal data platform for aerospace companies. The work includes developing data pipelines with Python, Spark, Airflow, and AWS.

Wymagania

At least 5 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, Iceberg, Kafka, and CI/CD.
Excellent understanding of dimensional data and data modeling techniques.
Experience implementing and deploying solutions in cloud environments.
Consulting experience, with 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.

Obowiązki

Develop and maintain a high-performance data processing platform for automotive data, ensuring scalability and reliability.
Design and implement data pipelines that process large volumes of data in streaming and batch modes.
Optimize data workflows for data ingestion, processing, and storage using Spark, Cloudera, and Airflow.
Work with 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 maintain availability, performance, and data-processing accuracy.
Use AWS for infrastructure management and scaling 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 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, including psychotherapy and coaching.
Full work equipment, including a laptop and other necessary devices.

Kursy językowe

Dofinansowanie szkoleń

Budżet konferencyjny

Spotkania integracyjne

Opieka zdrowotna

Karta sportowa

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