ETL Testing Professional

6 - 8 years

6 - 8 Lacs

Posted:1 month ago| Platform: Foundit logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

Responsibilities:

  • Extensive experience in

    ETL

    ,

    shell

    or

    Python scripting

    , data modeling, analysis, and preparation.
  • Build new end-to-end business intelligence solutions including data extraction, ETL processes to derive business insights, and visualizing data through dashboards.
  • Understand business requirements and provide inputs from a data perspective.
  • Comprehend the underlying data and data flow.
  • Build simple to complex pipelines and dataflows.
  • Implement modules with security and authorization frameworks.
  • Adapt to evolving processes as the project scales in size and function.

Knowledge, Skills & Abilities:

  • Proficient in

    SQL Programming

    and

    ETL

    (Required).
  • Expert-level knowledge of

    Azure Data Factory

    .
  • Advanced knowledge of

    Azure SQL Database

    ,

    Synapse Analytics

    ,

    Power BI

    ,

    SSIS

    ,

    SSRS

    ,

    T-SQL

    , and

    Logic Apps

    .
  • Strong analytical skills to understand complex data.
  • Experience with

    Azure Data Lake

    and Azure services like

    Analysis Service

    ,

    SQL Databases

    ,

    Azure DevOps

    , and

    CI/CD

    pipelines.
  • Knowledge of

    master data management

    , data warehousing, and business intelligence architecture.
  • Expertise in data modeling and database design with excellent knowledge of

    SQL Server

    best practices.
  • Excellent interpersonal and communication skills (oral and written) with ability to communicate clearly at various organizational levels.
  • Clear understanding of Data Warehouse (DW) lifecycle, including preparing design documents, unit test plans, and code review reports.
  • Experience working in Agile environments (Scrum, Lean, Kanban) is a plus.
  • Knowledge of Big Data technologies such as

    Spark Framework

    ,

    NoSQL

    ,

    Azure Databricks

    , and the

    Hadoop ecosystem

    (Hive, Impala, HDFS, YARN, Pig, Oozie) is a plus.

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