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Azure Data Engineer

ACI Infotech

Role: Data Engineer


Duration: FULL TIME (Accepting H1B Transfer )


Location: Atlanta, GA - On-Site ( Hybrid)


Job Description

Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and produce detailed data design documents, help translate business requirements to Technical requirements, be a SME for Azure Cloud and Databricks, bring Industry best practices to RT


Technical Skills, tools:

  • Azure Cloud technologies:
    • Must Have: ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics,Azure DevOps:-Boards, Repos, Pipelines, Test Plans
  • Databases:
    • Must Have: SQL servers/SQL databases, MongoDB,
  • BI Platforms:
    • Must Have: Power BI, Power BI Premium,
  • Other MS tools:
    • Must Have: SSMS, SSIS, Visual Studio
  • Advanced Analytics/Data Scientists tools:
    • Must Have: Google Analytics, FireBase, RStudio Server, PyCharm
  • Programming Languages:
    • Must Have: SQL, JavaScript,
  • Agile tools:
    • Must Have: Azure DevOps,
Work Experience:
    • More than 10+ years of relevant experience in data engineering tools like Spark, Hadoop, Azure Data pipelines , Azure Data factory, Azure Data Lake Storage, Databricks, Delta Lake, Python, SQL Server, and experience with other cloud providers
    • Minimum 8 years of experience working in IT department with Data & Analytics responsibilities
    • 4+ years of hands-on programming experience (SQL, Python, Scala, Java, etc.,)
    • Expertise in creating streaming and batch workflows in Databricks Lakehouse using Pyspark and Spark SQL
    • Working experience with development and maintenance of data pipelines on the DataBricks platform in Azure
    • xpertise in creating parameterized streaming and batch data processing using Azure Synapse and Azure Data Factory
    • Experienced in delivering reporting solutions to stakeholders using tools like Power BI, Databricks SQL, Tableau and SSRS
    • Recent 4+ years of experience working as Sr. Data Engineer on Azure Cloud Platforms
Work Experience: (continued)
    • 4+ years of experience working on Data and Analytics projects in support of Marketing/Loyalty/Digital Customer Experience Use Cases
    • 2+ years of experience working with Google Analytics
    • 1+ years of experience working or at least exposure on any Customer Data Platform (e.g. Microsoft CI, Segment, Tealium, Treasure Data, Informatica, Exponea, SalesForce CDP, etc.,)
    • Experience working on Data & Analytics projects using Agile methodologies
    • Previous Retail, Convenience Store/Petroleum industry experience a plus
    • Previous experience working with Punchh Loyalty platform data is a huge plus
Education:
    • Masters or Bachelor's degree in Computer Science or Information technology with specialization in Data & Analytics, Data Science, Data Engineering or related fields.
    • Any one of the generic Cloud Platform certifications (AWS, Azure, GCP, etc.,)
    • Any one of the Data & Analytics certifications (Azure Fundamentals AZ-900, DP-200: Implementing an Azure Data Solution, DP-201: Designing an Azure Data Solution, DP-203: Data Engineering on Microsoft Azure, etc.,)
Vacancy posted 10 hours ago
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