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5 years

5 - 10 Lacs

Posted:20 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Manager

EXL/M/1410393

    ServicesGurgaon
    Posted On
    09 Jul 2025
    End Date
    23 Aug 2025
    Required Experience
    5 - 10 Years

Basic Section

Number Of Positions

1

Band

C1

Band Name

Manager

Cost Code

D009646

Campus/Non Campus

NON CAMPUS

Employment Type

Permanent

Requisition Type

New

Max CTC

2000000.0000 - 2500000.0000

Complexity Level

Not Applicable

Work Type

Hybrid – Working Partly From Home And Partly From Office

Organisational

Group

Analytics

Sub Group

Retail Media & Hi-Tech

Organization

Services

LOB

Consulting

SBU

Analytics

Country

India

City

Gurgaon

Center

Gurgaon-SEZ BPO Solutions

Skills

Skill

FABRIC DEVELOPMENT

DATA LAKE

Minimum Qualification

ANY GRADUATE

Certification

No data available

Job Description

Key Responsibilities:

  • Maintain and monitor the MS Fabric-based Data Lakehouse to ensure high availability and performance.
  • Design, develop, and deploy robust and scalable data pipelines using Microsoft Fabric tools and services.
  • Troubleshoot and resolve issues in existing pipelines to minimize downtime and data latency.
  • Implement enhancements and optimizations in data workflows to improve efficiency and reduce costs.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality data solutions.
  • Ensure data quality, integrity, and security across all stages of the data lifecycle.
  • Document pipeline architecture, data flows, and operational procedures for transparency and maintainability.
  • Stay updated with the latest features and best practices in Microsoft Fabric and related technologies.


Required Qualifications:

  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
  • 4+ years of experience in data engineering or a similar role.
  • Hands-on experience with Microsoft Fabric, including Data Factory, OneLake, and Synapse.
  • Strong proficiency in SQL, Python, and data modeling.
  • Experience with CI/CD pipelines, version control (e.g., Git), and DevOps practices.
  • Familiarity with data governance, security, and compliance standards.


Workflow

Workflow Type

L&S-DA-Consulting

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