Remote Data Engineer - GCP, BigQuery & Spark

Datumo; Warszawa; On-site; PLN 145,085 - 253,899; Full time

Benefits offered by this job

Medicover Private Medical Care

Co-financing of Medicover Sport card

Opportunity to learn English with a native speaker

Regular company trips and informal get-togethers

Job summary

Datumo, based in Warsaw, Poland, is looking for a Data Engineer to join its innovative team specializing in data engineering and cloud computing. This role requires significant experience with Google Cloud Platform and strong programming skills, particularly in Python and SQL.

Join a dynamic community where you will tackle various cloud projects, focusing on data ingestion from edge devices, significantly improving data analytics and quality through cloud services. Enjoy a fully remote work environment with additional benefits.

Qualifications

• 3-4 years of commercial experience in programming.
• Proven record with Google Cloud Platform.
• Strong knowledge of Python, SQL and JVM languages.
• Experience with BigQuery data warehousing.
• Understanding of big data aspects like modeling and processing.
• Experience with Apache Spark or similar framework.
• Collaboration with businesses.

Responsibilities

• Working in cloud projects involving data ingestion.
• Contributing to architecture for various data platforms.
• Implementing and extending complex ETL processes.
• Building and maintaining data pipelines on GCP.

Skills

Programming

Google Cloud Platform

Python

SQL

JVM languages (Scala/Java/Kotlin)

BigQuery

Data modeling

CI/CD

Apache Spark

English proficiency

Polish proficiency

Tools

Docker

Kubernetes

Apache Kafka

Apache Airflow

Power BI

Job description

Datumo, based in Warsaw, Poland, is looking for a Data Engineer to join its innovative team specializing in data engineering and cloud computing. This role requires significant experience with Google Cloud Platform and strong programming skills, particularly in Python and SQL.

Join a dynamic community where you will tackle various cloud projects, focusing on data ingestion from edge devices, significantly improving data analytics and quality through cloud services. Enjoy a fully remote work environment with additional benefits.