Data Engineer
Avanade Poland
Timișoara, Romania
6 zile în urmă
source : Just Join IT

Machine Learning (nice to have)

Azure IoT (nice to have)

CosmosDB (nice to have)

Spark (nice to have)

Python / C# (regular)

SQL Server (regular)

one or more Azure Data and Analytics services (regular)

Azure (advanced)

As a Data Engineer Consultant, you know the importance of data to the business. You design and set up projects that bring together information from various sources to enable analysis and decision-making.

You make sure that data is accessible and easy to use for routine and ad-hoc analysis.

Day-to-day, you will be :

  • Finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise.
  • Collecting the data from various sources, transforming it into desire formats, and storing it into data stores like Data Lake, Azure Synapse Analytics.
  • Implementing complex, large-scale big data projects focusing on collecting, managing, analyzing, and visualizing large datasets.
  • Taking part in designing and running bespoke data services for individual projects.
  • Staying up to date with leading-edge processes in using, retrieving data, building machine learning models.
  • Crafting and use effective metrics and monitoring processes.
  • Support deal teams by providing subject knowledge and solutions for client proposals
  • About you :

    You’re a Data Engineer who knows how to find, store, analyze, transform and present a range of information from different sources so that everyone can access what they need effectively.

    Your skills and experience likely include :

  • Hands-on in structured problem-solving.
  • Excellent collaboration skills with business analysts and data scientists.
  • The ability to apply methods to tackle business problems using one or more Azure Data and Analytics services combined with building data pipelines, data streams, and system integration.
  • Being engaged in end-to-end Data Ingestion Data Transformation Data Persistence Performance Optimization process.
  • Minimum technical requirements :

  • At least two years of commercial experience with object-oriented languages (Python and or C# is strongly preferred, but could be Java / C++ as long as you are willing to learn Python and or C#)
  • SQL Server
  • Azure Databricks / Azure Data Lake / Azure Data Factory
  • The following are important for us, any knowledge / experience would be a huge advantage :

  • Snowflake
  • Azure Synapse Analytics
  • Graphs (Azure Digital Twins, Gremlin, Neo4j)
  • CosmosDB
  • Azure Streaming Analytics
  • Azure IoT in a general sense
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