Join the team and be a part of exciting data innovation

Lead Data Engineer

Location:

Remote

Employment Type:

Employment Type:

Role:

Contract

Employment Type:

Competitive Salary

Your Role:

We are looking for an Azure Lead Engineer to join our Data Insights and Analytics team. The role will be responsible for building new data pipelines and optimizing data flows using the Azure cloud stack.

The ideal candidate will be an experienced data pipeline builder and data wrangler who enjoys building data products from scratch. The data engineer will need to support Business Analysts and Data Architects with discovery and best practices. The successful candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.

Azure Data Engineer Certification is preferable

Good to have:

  • Machine learning experience
  • Big Data knowledge


 If you have any questions, then please email cv@sugansa.co.uk

  • Experience in creating Data Platform Solutions
  • Experience in implementing Data bricks,Data bricks Notebook, Data Lakes, Data warehouse and Data Lake Architectures best practices for data storage, loading, and retrieving data from data lakes.
  • Experience in Azure Cloud Technologies building pipelines using Pyspark/Python
  • Must have a good understanding of Azure Data Lakes and hands-on experience in implementing best practices in data storage, loading, and retrieving data from data lakes.
  • Deep experience in Azure Platform and Azure Data Services
  • Data Processing & Transformation using DataBricks, HDInsight, Azure Functions
  • Data Staging & Storage using Data Lake Store, Synapse, Cosmos DB
  • Data Ingestion using Event Hub
  • Data Orchestration using Azure Data Factory
  • Working on Azure Databricks
  • Spark scripts to process the data loads to different layers
  • Understanding of AI/ML Services, Data Modelling & Analytics
  • Engineer and maintain a modern Cloud data pipeline for ETL/ELT
  • Implement modern data solutions with Azure Data Factory, Data Lake, Data Bricks, SQL data warehouse, and Cosmos DB.

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