Data Engineer (Azure) [Poland]


 

Data Engineer (Azure), remote work

Opublikowano 1 dzień temu

We are currently recruiting for our client for the position of: Data Engineer (Azure).
Sector: energy sector

Your responsibilities::

  • Build and run Azure based Data Platform.

  • Handle multiple Terabytes of different domains data with focus on IoT data using Stream and Batch processing.
  • Craft and maintain world-class, high traffic analytical applications and services with a team of experienced data engineers and scientists.
  • Develop data models and process raw data at scale to make it available for analysis.
  • Build scalable data pipelines using state-of-the-art technologies in the Microsoft Azure Cloud.
  • Implement, run and deploy algorithms in cooperation with data scientists using the Hadoop ecosystem (e.g.Spark, Hive, HDFS) and the Microsoft Azure Stack).

What we expect:

  • Certification University degree in Computer Science or related fields of study (Mathematics, Physics).

  • At least 5 Years of experience in architecting and building Data Lake and Enterprise Analytics Solutions.
  • Ability to optimize 'Big Data’ data pipelines, design Data Lake architecture and data sets.
  • Experience with Design and Architecture of relational SQL and NoSQL databases.
  • Advanced hands-on SQL, Python, pySpark and HDFS knowledge and experience working with relational databases for data querying and retrieval.
  • Experience with Design and Architecture of Azure big data frameworks: Azure Databricks, Azure Data Factory, Azure ML, SQL Data Warehouse, HDInsights, Stream Analytics, Azure Data Explorer – or their open source counterparts: Kafka, Spark, Blob Storages.
  • Knowledge of DevOps Processes (including CI/CD) and infrastructure as a code fundamentals.
  • Knowledge of Data Quality issues and methods of dealing with them.
  • Nice to have: experience in designing, building and integrating REST APIs.
  • Fluent in English, German language will be considered as a plus.

Offered:

  • 180 zł/h (B2B),
  • Remote work,
  • Professional development in a large corporation,
  • A work-life balance preserved,
  • Medical Care, Sports packages.


 

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