SP Software

1 week ago

Bengaluru, Karnataka, India SP Software (P) Limited Full time US$ 90,000 - US$ 1,20,000 per year

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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