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Data Engineer (GCP)
Datumo
- Poland, Ohio, United States
- Poland, Ohio, United States
À propos
Data Engineer
ready to push boundaries and grow with us. Datumo specializes in providing Data Engineering and Cloud Computing consulting services to clients from all over the world, primarily in Western Europe, Poland and the USA. Core industries we support include
e-commerce
,
telecommunications
and
life sciences
. Our team consists of exceptional people whose commitment allows us to conduct highly demanding projects. Our team members tend to stick around for more than 3 years, and when a project wraps up, we don't let them go - we embark on a journey to discover exciting new challenges for them. It's not just a workplace; it's a community that grows together! Must-Have Qualifications
At least 3-4 years of commercial experience in programming. Proven record with a cloud provider -
Google Cloud Platform. Strong knowledge of
Python, SQL and JVM languages
(Scala, Java or Kotlin). Experience in
BigQuery
data warehousing solution. In-depth understanding of big data aspects such as data storage,
modeling ,
processing
and
scheduling . Understanding of Apache Spark (or similar distributed data processing framework). Experience with
data modeling
and
data storage . Ensuring solution quality through
automatic tests, CI/CD
and
code review. Proven
collaboration with businesses. English proficiency at min. B2 level, proficient in
Polish. Nice-to-Have
Knowledge of dbt, Docker and Kubernetes, Apache Kafka. Familiarity with Apache Airflow or similar pipeline orchestrator. Experience in another JVM language. Experience in Machine Learning projects. Familiarity with one of BI tools: Power BI/Looker/Tableau. Willingness to share knowledge (conferences, articles, open-source projects). What’s on Offer
100% remote work, with workation opportunity. Onboarding with a
dedicated mentor. Benefits:
Medicover Private Medical Care , co-financing of the
Medicover Sport card. Opportunity to
learn English with a native speaker. Regular
company trips and informal get-togethers. Development Opportunities in Datumo
Participation in industry conferences. Establishing Datumo's online brand presence. Support in obtaining certifications (e.g. GCP, Azure, Snowflake). Involvement in internal initiatives, like building technological roadmaps. Access to internal technological training repositories. Discover Our Exemplary Projects
IoT data ingestion to cloud
– The project integrates data from edge devices into the cloud using Azure services. The platform supports data streaming via either the IoT Edge environment with Java or Python modules, or direct connection using Kafka protocol to Event Hubs. It also facilitates batch data transmission to ADLS. Data transformation from raw telemetry to structured tables is done through Spark jobs in Databricks or data connections and update policies in Azure Data Explorer. ☁️ Petabyte-scale data platform migration to Google Cloud
– The goal is to improve scalability and performance of the data platform by transitioning over a thousand active pipelines to GCP. The main focus is rearchitecting existing Spark applications to either Cloud Dataproc or Cloud BigQuery SQL, depending on the Client’s requirements, and automating them using Cloud Composer. Data analytics platform for investing company
– The project centers on developing and overseeing a data platform for an asset management company focused on ESG investing. Databricks is the central component. The platform, built on Azure cloud, integrates various Azure services for diverse functionalities. The primary task involves implementing and extending complex ETL processes that enrich investment data, using Spark jobs in Scala. Integrations with external data providers, as well as solutions for improving data quality and optimizing cloud resources, have been implemented. A consumer data platform (CDP) for a major Polish retail company. Datumo actively participates from the project’s start, contributing to planning the platform’s architecture. The CDP is built on Google Cloud Platform (GCP), utilizing services like Pub/Sub, Dataflow and BigQuery. Open‑source tools, including a Kubernetes cluster with Apache Kafka, Apache Airflow and Apache Flink, are used to meet specific requirements. This combination offers significant possibilities for the platform. Recruitment Process
If you like what we do and you dream about creating this world with us – don’t wait, apply now! By submitting your application you consent to the processing of your personal data included in the submitted CV and attached documents by DATUMO sp. z o.o. with its registered office in Warsaw for the purposes of the recruitment process, in accordance with Article 6(1)(a) of the GDPR and, if applicable, Article 9(2)(a). This consent may be revoked at any time by sending a notification to contact@datumo.pl. URL – https://www.datumo.io/privacy-policy
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Compétences linguistiques
- English
Avis aux utilisateurs
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