GA

Sr. Data Analytics Engineer (Azure Data Factory)

Gartner

8 months ago

3 - 5 years

Work From Office

Gurgaon, Haryana, Haryana, India

  • Monitor & support various data loads for our Enterprise Data Warehouse.
  • Support business users who are accessing POWER BI dashboards & Datawarehouse tables. Handle incidents, service requests within defined SLA’s.
  • Build new ETL/ELT pipelines using Azure Data Products like Azure Data Factory, Databricks etc.
  • Data Warehousing

    TSQL

    Azure Cloud Platform

    ci/cd

    DimensionalModeling

    power BI

    Agile Methodologies

    Azure Data Factory

    ETL Pipelines

    Job description & requirements

    What will you do:


    • Monitor & support various data loads for our Enterprise Data Warehouse.
    • Support business users who are accessing POWER BI dashboards & Datawarehouse tables. Handle incidents, service requests within defined SLA’s.
    • Work with team on managing Azure resources including but not limited to Databricks, Azure Data Factory pipelines, ADLS etc.
    • Build new ETL/ELT pipelines using Azure Data Products like Azure Data Factory, Databricks etc.
    • Help build best practices & processes.
    • Coordinate with upstream/downstream teams to resolve data issues.
    • Work with the QA team and Dev team to ensure appropriate automated regressions are added to detect such issues in future.
    • Work with the Dev team to improve automated error handling so manual interventions can be reduced.
    • Analyze process and pattern so other similar unreported issues can be resolved in one go.


    What you will need:

    Strong IT professional with 3-4 years of experience in Data Engineering. The candidate should have strong analytical and problem-solving skills.


    Must have:

    • 3-4 years of experience in Data warehouse design & development and ETL using Azure Data Factory (ADF)
    • Experience in writing complex TSQL procedures on MPP platforms - Synapse, Snowflake etc.
    • Experience in analyzing complex code to troubleshoot failure and where applicable recommend best practices around error handling, performance tuning etc.
    • Ability to work independently, as well as part of a team and experience working with fast-paced operations/dev teams.
    • Good understanding of business process and analyzing underlying data Understanding of dimensional and relational modelling
    • Detailed oriented, with the ability to plan, prioritize, and meet deadlines in a fast-paced environment. Can be added to SDE
    • Knowledge of Azure cloud technologies
    • Exceptional problem-solving skills


    Nice to have:

    • Experience crafting, building, and deploying applications in a DevOps environment utilizing CI/CD tools
    • Understanding of dimensional and relational modeling
    • Relevant certifications
    • Basic knowledge of Power BI.


    Who are you:

    • Bachelor’s degree or foreign equivalent degree in Computer Science or a related field required 
    • Excellent communication skills.
    • Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment.
    • Owns success – Takes responsibility for the successful delivery of the solutions.
    • Strong desire to improve upon their skills in tools and technologies


    Experience :

    3 - 5 years

    Job Domain/Function :

    Data Analytics

    Job Type :

    Work From Office

    Employment Type :

    Full Time

    Number Of Position(s) :

    1

    Educational Qualifications :

    Bachelor's Degree

    Location :

    Gurugram, Haryana, India, Gurgaon, Haryana, India

    Create alert for similar jobs

    GA

    Gartner

    Similar Jobs

    Sr. Data Analytics Engineer (Azure Data Factory)-Gartner-Gurgaon, Haryana, India-3 - 5 years