Data Analyst/ Data Engineer - Trenton, United States - Extendinfosys

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    Description

    Job Title:
    Data Analyst/ Data Engineer


    Location:
    Warren, NJ (1 days a week)


    Duration:
    Long Term

    ( W2 only)

    Experience level : 10+ yrs

    Data Engineer Specializing in ADF (Azure Data Factory), Databricks, Spark SQL, and Dashboard Development

    We are currently seeking a skilled Data Analyst with proficiency in Azure Data Factory (ADF), Databricks, Spark SQL, and dashboard creation


    This role involves:
    Data Analysis with ADF and Databricks: Utilizing Azure Data Factory and Databricks for comprehensive data analysis. This includes extracting, transforming, and loading data (ETL) processes, and managing data workflows.
    Expertise in Spark


    SQL:
    Leveraging Spark SQL for querying and analysing large datasets within Databricks environments. The candidate should possess the ability to write efficient, complex SQL queries.

    Data Mapping Creation:

    Developing detailed data mappings to assist in the integration and transformation of data from various sources into structured formats for analysis.


    Dashboard Development:
    Designing and building intuitive, informative dashboards that effectively communicate data insights. Experience with tools like Tableau, Power BI, or Databricks' native visualization capabilities is preferred.

    Data Quality and Integrity:
    Ensuring the accuracy and consistency of data throughout the data processing lifecycle, from extraction to visualization.

    Collaborative Project Involvement:
    Working collaboratively with cross-functional teams, including data engineers and business stakeholders, to understand requirements and deliver data-driven solutions.

    Data-Driven Decision Making:
    Assisting in the interpretation of data and providing insights that support business decision-making.

    Continuous Learning and Improvement:

    Staying updated with the latest trends and advancements in data analytics, ADF, Databricks, and Spark SQL to continuously improve processes and implementations.


    Technical Documentation:
    Creating clear and comprehensive documentation regarding data processes, mappings, and dashboard functionalities.

    Problem-Solving Skills:
    Utilizing strong analytical and problem-solving skills to address challenges in data analysis and dashboard development.

    The ideal candidate will have a strong background in data analysis, with a demonstrated ability to handle large datasets and build effective visualizations.

    They should be comfortable working in a dynamic, fast-paced environment and possess excellent communication skills to articulate complex data concepts to non-technical stakeholders.

    Thanks & Regards

    Anoop Tiwari

    Extend Information Systems


    Cell:

    Email:
    #J-18808-Ljbffr