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Data Engineer_SUPPORT SERVICES_0789_1461_1059134

Candidate Experience site · Mumbai, Maharashtra, India

Strong hiring record · median 29 days open

100100

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Actively hiring

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  • Still listed on the employer's own board

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Data Engineer_SUPPORT SERVICES_0789_1461_1059134 at Candidate Experience site. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Grade

M1 to M3

Reports to

Head Analytics

Is a Team leader?

No

Team Size

--

Role

Data Engineer/Sr Data Engineer

Business

Not Applicable

Department

Analytics

Sub-Department

Not Applicable

Location

Mumbai

Role

As a Data Mart Developer and Model Automation Specialist, you will play a crucial role in designing, developing, and maintaining data marts to support analytics and reporting needs. Additionally, you will be responsible for automating model runs to ensure timely publishing of model results to Model Governance team for review and subsequently to relevant stakeholders

Key Responsibilities

Data Mart Development

  • Design and implement scalable data marts tailored to the needs of various analytics and business intelligence (BI) applications.
  • Ensure data quality and integrity by establishing and maintaining data validation and cleansing processes.

Model Automation Pipelines

  • Create and maintain automated pipelines for modeling, ensuring streamlined and consistent model updates and deployments.
  • Optimize and monitor data pipelines to improve performance and reliability

-Ability to automate repetitive tasks and improve data processing workflows

Collaboration

  • Work closely with business analysts, data scientists to understand their requirements and deliver appropriate data solutions

Qualifications

  • BSc Statistics / BSc IT / Btech with 1 to 2 years of relevant experience preferably in similar role

Role Proficiencies

  • Must Have Skills :
  • Ms Excel
  • SQL
  • Python
  • Strong Communication skills
  • Collaborative Mind-set
  • Automation workflow/Dev Ops/ ML Ops
  • Good to have Skills :
  • SAS
  • BI tools (Tableau/PowerBI)
  • Cloud Data warehousing solutions (Redshift/Snowflake)

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