Senior Data Engineer (Azure & Snowflake)

Role: Senior Data Engineer (Azure & Snowflake)

Experience: 12+ Years

Employment Type: Full-Time

Work Model: Remote

Job Summary

We are seeking a highly skilled Senior Data Engineer with extensive experience in Azure cloud technologies and Snowflake Data Warehouse. The ideal candidate should have strong expertise in designing, developing, and optimizing enterprise-scale data pipelines, cloud-based data platforms, and modern ETL/ELT solutions.

Note: Active Azure and Snowflake certifications are mandatory. Candidates without valid certifications will not be considered.

Required Skills

• 12+ years of total IT experience in Data Engineering, Data Warehousing, and Big Data technologies.
• Active Microsoft Certified: Azure Data Engineer Associate (DP-203) certification – Mandatory.
• Active SnowPro Core Certification – Mandatory.
• Strong experience with Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), Azure Key Vault, and Azure DevOps .
• Hands-on experience with Snowflake including Snowpipe, Streams, Tasks, Time Travel, Zero-Copy Cloning, Performance Tuning, Data Sharing, and Secure Views.
• Strong programming skills in Python, PySpark, and SQL .
• Experience building scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and Snowflake.
• Strong understanding of Data Warehousing, Data Modeling, Star Schema, Snowflake Schema, and Dimensional Modeling .
• Experience with Apache Spark, Delta Lake, and Apache Airflow .
• Experience integrating REST APIs , JSON, XML, and semi-structured data sources.
• Experience implementing CI/CD pipelines using Azure DevOps, Git, and Jenkins.
• Strong knowledge of Data Governance, Data Quality, Security, and Performance Optimization .
• Experience working in Agile/Scrum environments.
• Excellent communication, analytical, and problem-solving skills.

Mandatory Certifications

Candidates must possess both active (non-expired) certifications:

• Microsoft Certified: Azure Data Engineer Associate (DP-203) – Mandatory
• SnowPro Core Certification – Mandatory

Preferred Skills

• Experience with dbt (Data Build Tool) .
• Experience with Kafka , Event-Driven Architecture, and Streaming Data Pipelines.
• Knowledge of Terraform or Infrastructure as Code (IaC).
• Exposure to AI/ML data engineering workflows.
• Experience in Banking, Healthcare, Insurance, or Retail domains.

Key Responsibilities

• Design, develop, and maintain scalable Azure-based data pipelines.
• Build and optimize ETL/ELT workflows using Azure Data Factory, Databricks, and Snowflake.
• Implement data integration solutions for structured and semi-structured data.
• Optimize Snowflake performance, cost, and scalability.
• Ensure data quality, governance, security, and compliance.
• Develop reusable data engineering frameworks and best practices.
• Collaborate with Architects, Data Scientists, BI teams, and Business Stakeholders.
• Monitor production pipelines and resolve performance issues.
• Participate in architecture reviews and mentor junior data engineers.