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Urgent! Azure Snowflake Data Engineer Job | HARP

Azure Snowflake Data Engineer



Job description

Job Summary:

We are seeking an experienced Data Engineer with strong expertise in Snowflake, Azure Data Services, and PySpark.

The ideal candidate will design, develop, and optimize large-scale data pipelines and analytics solutions on the Azure cloud platform, ensuring high performance, scalability, and reliability.

Key Responsibilities:

  • Design and implement scalable data pipelines and ETL processes using Azure Data Factory (ADF), PySpark, and Snowflake.
  • Develop and maintain data models, schemas, and data marts in Snowflake.
  • Optimize SQL queries and Snowflake performance for efficient data processing.
  • Integrate structured and unstructured data from multiple sources into a unified data platform.
  • Collaborate with business analysts, data scientists, and stakeholders to define data requirements.
  • Implement data quality, data governance, and security best practices.
  • Monitor, troubleshoot, and optimize data workflows for performance and cost efficiency.
  • Automate data ingestion and transformation processes using Azure services.
  • Stay updated with the latest technologies in cloud data engineering and analytics.

Required Skills & Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
  • 5–16 years of hands-on experience in Data Engineering or related roles.
  • Strong expertise in Snowflake (data modeling, query optimization, and performance tuning).
  • Solid experience with Azure Data Factory (ADF), Azure Databricks, and Azure Synapse.
  • Proficient in PySpark and Python for data transformation.
  • Strong SQL programming and data analysis skills.
  • Experience with CI/CD pipelines and version control (e.G., Git, Azure DevOps).
  • Familiarity with data governance, security, and compliance in Azure.
  • Excellent problem-solving and communication skills.

Nice to Have:

  • Experience with Power BI, Azure Synapse Analytics, or Data Lake Storage (ADLS).
  • Exposure to DevOps, Terraform, or Infrastructure as Code (IaC).
  • Knowledge of machine learning pipelines or real-time data processing.
  • Snowflake or Azure certifications.


Required Skill Profession

Computer Occupations



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