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Azure Data Engineer

ACI Infotech
Atlanta, GA Full Time
POSTED ON 4/14/2025
AVAILABLE BEFORE 4/28/2025

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.,)

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