Aktualne oferty pracy związane z Unlock the Power of Data Engineering - Szczecin, West Pomerania - Datumo

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    4 godzin temu

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    4 godzin temu

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Unlock the Power of Data Engineering

2 tygodni temu

Szczecin, West Pomerania, Polska Datumo Pełny etat

**Company Overview**

Datumo is a leading provider of Big Data and Cloud consulting services, serving clients worldwide with a strong presence in Western Europe, Poland, and the USA. We specialize in e-commerce, telecommunications, and life science industries, leveraging our team's exceptional talent to deliver complex projects.

Our company culture fosters long-term relationships, with team members typically staying for more than 3 years. When projects conclude, we support them in finding new challenges, creating a community that grows together.

**Job Description**

As a Data Engineer at Datumo, you will design and implement Big Data systems following industry best practices. You will ensure solution quality through automatic testing, CI/CD pipelines, and code reviews. Collaboration with businesses is essential, requiring effective communication and problem-solving skills.

**Required Skills and Qualifications**

  • At least 3 years of commercial experience in Big Data
  • Proven record with GCP, Azure, or AWS; knowledge of JVM languages (Scala, Java, Kotlin) and Python
  • Good understanding of SQL and Apache Spark or similar distributed data processing frameworks
  • Experience with BigQuery, Snowflake, Hive, or similar distributed datastores
  • Designing and implementing Big Data systems following best practices
  • Ensuring solution quality through automatic tests, CI/CD, and code review
  • Proven collaboration with businesses
  • English proficiency at B2 level, communicative in Polish

**Benefits**

  • 100% remote work with a workation opportunity
  • 20 free days off per year
  • Onboarding with a dedicated mentor
  • Project switching possible after a certain period
  • Individual budget for training and conferences
  • 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**

  • 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
  • Training budget
  • Access to internal technological training repositories

**Exemplary Projects**

We are proud to have worked on various exciting projects:

IoT Data Ingestion to Cloud

Integration of edge device data into the cloud using Azure services. The platform supports data streaming via IoT Edge environments with Java or Python modules or direct connection using Kafka protocol to Event Hubs. It also facilitates batch data transmission to ADLS, transforming raw telemetry to structured tables 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 was to improve scalability and performance by transitioning over a thousand active pipelines to GCP. The main focus was on rearchitecting existing Spark applications to either Cloud Dataproc or Cloud BigQuery SQL, depending on client requirements, and automating it using Cloud Composer.

Data Analytics Platform for Investing Company

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 involved 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, were implemented.

Real-Time Consumer Data Platform

Constructing a consumer data platform (CDP) for a major Polish retail company. Datumo actively participated 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, were used to meet specific requirements.

**Recruitment Process**

  • Quiz - 15 minutes
  • Soft skills interview - 30 minutes
  • Technical interview - 60 minutes

For more information, visit our website - https://www.datumo.io.