T&T-EAID-Associate Director- ETL- Pune-Engineering

12 years

Pune

Posted:16 hours ago

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Job Description

T&T-EAID-Associate Director- ETL- Pune-Engineering
• Job requisition ID : 113969
• Location: Pune
• Entity: Deloitte Touche Tohmatsu India LLP

The Team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

Your work profile

12+ years experienced Lead testing and quality assurance engineer for ETL pipelines, data platforms, and cloud-based data engineering solutions.

Drive test strategy, automation, data validation, and stakeholder engagement across data transformation initiatives.

Key skills required:
  • Strong Python programming experience (Mandatory)
  • ETL/Data Warehouse testing experience
  • Advanced SQL and data validation expertise
  • Experience with ETL tools (Informatica, DataStage, Talend, SSIS, etc.)
  • Data migration and reconciliation testing
  • Snowflake, Databricks, or cloud data platform experience
  • Test automation framework development
  • Agile, Jira, CI/CD knowledge
  • Test leadership and stakeholder management experience
  • Big Data technologies (Spark, Hadoop, Kafka)
  • Data Quality/Observability tools
  • GitLab
  • Banking/Financial Services domain knowledge
  • GenAI-assisted testing experience
Education :

Bachelor’s degree in computer science, Information Technology, or related field.

Skills Required

ETL Business Intelligence Data Management Performance Management Analytics BIG Data Machine Learning Quality Assurance ETL Pipelines Data Engineering Test Strategy Automation

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