Data Engineer/AI

Job description

Do you love making sure that information is available and consumable? So do we.

As a Data & AI 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 and AI engineer who knows how to find, store, analyze, train model and present a range of information from different sources so that everyone can access what they need quickly, simply, and use it effectively.

Your skills and experience likely include:
  • Hands-on in structured problem solving
  • Great collaboration skills
  • The ability to apply methods to tackle business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration
  • Efficient on using data to train models.
  • Building and using models to automate processes like image classification, speech recognition, and market forecasting.
  • Being engaged in end-to-end Data Ingestion → Data Transformation → Data Persistence → Performance Optimization process.
Minimum technical requirements:
  • At least two years of experience with object-oriented languages (C# is strongly preferred, but could be Java/C++ as long as you are willing to learn C# in the near future)
  • Python at an intermediate or higher level
  • SQL Server, Azure Databricks or Spark or Machine Learning (commercial experience).
  • Git
The following are important for us, any knowledge/experience would be a huge advantage:
  • ETL/ELT (Azure Data Factory)
  • Azure ML or TensorFlow,
  • Azure Synapse Analytics, MLOps.
It would be additionally nice if you’ve also heard of:
  • CosmosDB/MongoDB, Data Lake, Azure Streaming Analytics, Bot Framework

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