Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
EXL

Assistant Manager

EXL

. Design, build, and maintain robust, scalable, and reliable data pipelines for analytics, reporting, and AI/ML use cases .

Posted 10/5/2026full-timeGurugram • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining scalable data pipelines and modern data architectures, with a strong focus on data quality, security, and compliance. Proficient in collaborating with cross-functional teams to translate data requirements into actionable technical solutions.

Highest-signal resume keywords
Advanced PythonPySparkData LakesSnowflake CertificationAWS

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Pipeline DevelopmentPerformance TuningComplex Query OptimizationData Warehouse ManagementAI/ML Pipeline Support
Soft Skills
Excellent CommunicationMentoring
Tools & Technologies
SnowflakeDatabricksBigQueryRedshiftTableauPower BILookerAWSAzureGCP
Certifications & Qualifications
SnowPro CoreSnowPro Advanced
Industry Keywords
Data ArchitectureData GovernanceBusiness IntelligenceAnalyticsFeature Engineering

Tech Stack

Tools & technologies
Amazon RedshiftAWSAzureBigQueryCloudGoogle Cloud PlatformPySparkPythonTableau

About the role

Key responsibilities & impact
  • Design, build, and maintain robust, scalable, and reliable data pipelines for analytics, reporting, and AI/ML use cases
  • Lead migration of legacy data architectures to modern, cloud-based, AI-ready data platforms
  • Develop and implement semantic layers for consistent, business-friendly access to data for analytics and BI tools
  • Collaborate with business stakeholders, data scientists, analysts, and product teams to translate data requirements into technical solutions
  • Ensure data quality, integrity, security, and compliance through validation, monitoring, and governance best practices
  • Document data architectures, pipelines, and best practices for knowledge sharing and long-term maintainability
  • Lead the development, configuration, and maintenance of application development platforms
  • Ensure platforms are scalable, secure, and efficient
  • Work with application developers to optimize development and deployment environments
  • Mentor junior team members and provide technical guidance

Requirements

What you’ll need
  • Bachelor's / Master’s degree in Economics, Statistics, Engineering or a related quantitative field from a top-tier university
  • 2+ years of hands-on experience with advanced Python and PySpark, including performance tuning and complex query optimization
  • Hands-on experience with modern data architectures, including data lakes, lakehouses, and data warehouses such as Snowflake, Databricks, BigQuery, or Redshift
  • Snowflake certification: SnowPro Core required; SnowPro Advanced preferred
  • Excellent communication skills, with the ability to explain technical concepts to non-technical audiences
  • Experience supporting AI/ML pipelines and feature engineering (desirable)
  • Working knowledge of Tableau, Power BI, and Looker (desirable)
  • Hands-on experience with AWS, Azure, or GCP (desirable)