SP Software

3 days ago

Bengaluru, India SP Software (P) Limited Full time

About The Role
We are looking for an experienced Snowflake Developer to join our data engineering team. The ideal candidate will have a strong background in SQL, ETL processes, and data warehousing, with hands-on expertise in Snowflake. This role requires proficiency in Python, cloud platforms (AWS/GCP), and the ability to build scalable, high-performance data pipelines. Prior experience in the US healthcare domain will be an added advantage.

Key Responsibilities

  • Design, develop, and maintain data pipelines and ETL workflows on Snowflake.
  • Write complex SQL queries for data transformation, optimization, and analysis.
  • Build and optimize data models and data warehousing solutions to support business intelligence and analytics.
  • Develop Python scripts for data ingestion, transformation, and automation.
  • Collaborate with business stakeholders, data analysts, and other engineers to understand data requirements.
  • Implement best practices for data security, governance, and compliance.
  • Troubleshoot and resolve performance bottlenecks in ETL and Snowflake queries.
  • Work with cloud technologies (AWS/GCP) for storage, compute, and integration.

Required Skills & Qualifications

  • 6+ years of IT experience with strong expertise in SQL, ETL, and data warehousing.
  • Hands-on experience in Snowflake architecture, query optimization, and performance tuning.
  • Proficiency in Python for scripting and automation.
  • Experience with cloud platforms such as AWS or GCP.
  • Strong knowledge of data modeling, star/snowflake schemas, and best practices.
  • Excellent analytical, problem-solving, and communication skills.

Nice To Have

  • Experience in the US healthcare domain (data compliance, HIPAA, EHR data).
  • Familiarity with tools like Airflow, DBT, or Informatica for data orchestration.
  • Cloud certifications (AWS/GCP or Snowflake) will be an added advantage.

What We Offer

  • Opportunity to work on cutting-edge data engineering projects.
  • Collaborative and innovative work culture.
  • Competitive compensation and growth opportunities.

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