Azure Data Engineer (Night Shift)
- India
Posted 3 days ago
About the role
Role Overview
Design, develop, and manage a modern, cloud-based data platform as part of a greenfield digital transformation initiative. Build the foundation for AI-ready data, analytics, reporting, and data-driven decision-making using Azure and modern data engineering technologies.
Key Responsibilities
- Design and implement end-to-end Azure data platform architecture.
- Build scalable ETL/ELT pipelines using Azure Data Factory and modern data tools.
- Develop Lakehouse solutions using Medallion Architecture (Bronze, Silver, Gold).
- Integrate data from multiple business systems and ensure data reliability.
- Implement data quality, validation, testing, governance, and security practices.
- Develop data transformations and models using dbt and Snowflake.
- Support BI and analytics requirements, including Looker.
- Collaborate with offshore engineering teams and provide technical guidance.
- Enable trusted data for reporting, customer insights, fraud detection, compliance, and AI/ML.
- Maintain technical documentation and conduct knowledge transfer.
Primary Skills
- Snowflake, dbt, Microsoft Fabric
- Azure Data Factory (ADF), ADLS Gen2
- Python & Advanced SQL
- ETL/ELT Pipeline Development
- Data Modeling & Schema Design
- Data Quality & Validation
- Looker / BI & Analytics
- Git & CI/CD Fundamentals
- Data Governance & Security
- Exposure to GCP and AI/ML platforms is an advantage.
Pay: ₹120,000.00 - ₹140,000.00 per month
Benefits:
- Work from home
Application Question(s):
- Are you willing to share PAN/Aadhar for the background verification (BGV) process ?
- Are you currently employed anywhere? If so, How will you manage this new opportunity?
- Client would require UAN for interview process once profile gets shortlisted. Are you fine with that?
- Are you fine with 9.30 PM to 6.30 AM IST (9 AM to 6 PM PST) Shift timing?
- This is a CONTRACTUAL JOB for 6 MONTHS currently. Are you comfortable with it?
Experience:
- Python: 4 years (Required)
- RELEVANT: 5 years (Required)
Work Location: Remote