AZURE Snowflake DATA Engineer

2 weeks ago


Bengaluru Mumbai Pune, India Harp Technologies Services Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Job Title: Azure Snowflake Data Engineer

Experience: 5 to 16 Years

Location:(Pune / Mumbai / Hyderabad / Bangalore / Kolkata / Chennai / Noida)

NP: immediate

Employment Type: Full-time

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:

  • Bachelors 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.

Keywords:

Snowflake, Azure, ADF, PySpark, Data Engineer, Azure Data Factory, Azure Databricks, SQL, Data Pipeline, ETL, Cloud Data Engineering, Data Warehouse.


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