Azure Data Engineer (Night Shift)

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