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  • Posted 23 hours ago
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Job Description

We are hiring a Data Engineer to join our Information Technology team at House of Anita Dongre Private Limited.

If you enjoy solving data reliability challenges, working across enterprise systems, and ensuring business-critical data flows run smoothly, this role could be a strong fit. We are looking for someone who is:

  • Strong in problem-solving and analytical thinking
  • Detail-oriented with a focus on data accuracy
  • Comfortable working in operational and support-driven environments
  • Able to collaborate across technology and business teams

Key Responsibilities

  • Ensure reliability, accuracy, and reconciliation of enterprise data across POS, ERP, OMS, integrations, and reporting platforms.
  • Monitor and troubleshoot data integrations, APIs, scheduled jobs, and automated data flows.
  • Perform SQL-based analysis, data validation, reconciliation, and issue resolution.
  • Support Tableau reporting accuracy through backend data validation and refresh monitoring.
  • Coordinate with internal teams and external vendors for integration and data-related issue resolution.
  • Develop and optimize SQL queries, stored procedures, views, and validation scripts.
  • Build proactive monitoring and alert mechanisms for integration and reporting failures.
  • Maintain documentation for integrations, reconciliation logic, and operational procedures.
  • Support root cause analysis and continuous improvement initiatives focused on data reliability and operational efficiency.

Required Skills & Qualifications

  • Years of Experience: 6 - 8 Years
  • Bachelor's degree in Computer Science, Information Technology, Data Management, or a related field.
  • Strong hands-on SQL expertise including queries, stored procedures, troubleshooting, and data analysis.
  • Good understanding of APIs, integrations, ETL processes, scheduled jobs, and enterprise data flows.
  • Proven experience in production support, data reconciliation, and integration troubleshooting in business-critical environments.
  • Experience with Retail, ERP, POS, OMS, or BI ecosystems will be preferred.
  • Exposure to Tableau or similar reporting platforms is an advantage.
  • Ability to coordinate effectively with cross-functional teams and external application vendors.

Interested candidates can share their cv on [Confidential Information] with Subject line - Application for Data Engineer

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Job ID: 148277433

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