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Data Engineer (Data Visualization, ETL and Power BI)

10 years

0 Lacs

India

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

data visualization etl power design development testing deployment analytics extract pipeline query model developer security test reports metrics monitoring analysis technology mathematics statistics engineering agile ai sql dax communication gis certification azure

Work Mode

On-site

Job Type

Contractual

Job Description

Responsibilities

  1. Act as the prime mover of design, development, testing and deployment of local and master data models for ISMS Analytics. This covers the Extract, Transform, Load (ETL) pipeline for the data from the ISMS and related ecosystem of applications.
  2. Manage and tune query performance to achieve optimal model structure.
  3. Create and monitor data quality dashboards. The analytics developer should collaborate with the respective development team and the cross functional business team to address the issues.
  4. Design and implement access models. This includes developing dynamic row level security and protocols for seamless update of BI users.
  5. Collaborate with cross functional team on developing data sharing policies and integrations.
  6. Design, develop, test, and deploy reports, dashboards, metrics, apps, data catalog, monitoring objects, and other workspace objects
  7. Design, develop, test, and deploy advanced analytics products (e.g., prescriptive models leading to forecasts, sentiment analysis results, etc.) with reference to the analytics maturity. Model.
  8. Collaborate with the Solutions Architect, product owners, and stakeholders in implementing products following good practice on UIUX and principles of design for analytics products.
  9. Facilitate demos, User Acceptance Testing, trainings, and hyper care for the deliverables assigned.


Qualifications

Education and Work Experience

  • Bachelor’s degree in Computer Science, Information Technology, Information Systems, Mathematics, Statistics, or a closely related field.
  • Minimum of 10 years of general professional experience in analytics with focus on data engineering and visualization, of which the last 5 years are related to the use of Microsoft Power BI.
  • Minimum of 3 years of experience on an agile delivery project.

Technical Knowledge

  • Experience with developing AI components is an advantage.
  • Experience with data warehouse methodologies and data lake agnostic of tool is an advantage.
  • Strong expertise in data manipulation languages such as SQL, Data Analysis Expression (DAX), Power Query M language.

Soft Skills

  • Has excellent communication skills, and strong work ethic.

Tools/Software

  • Proficient in the use of ADO.
  • Experience on working with enterprise Geographic Information Systems (GIS) or its open-source counterpart is an advantage.

Certification (if applicable)

  • Certification on Azure Enterprise Data Analyst Associate and Power BI Data Analyst are desired.

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