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Snowflake Data Engineer

3 months ago

sany, India Agilite Global Solutions Company Full time
Role: Snowflakes Data Engineer

Location: India (Remote Work)

  • Minimum Qualification: Bachelor's degree or higher in the technology field
  • Experience: 3+ years

Domain: US Healthcare

Customer Profile: Captive research and development pods for a 500-million-member group of pharma data research companies that assist patients in accessing life-saving therapies. We help clients navigate complexities from drug development to patient delivery.

Other benefits:

  • Health Insurance
  • Provident Fund
  • Life Insurance
  • Reimbursement of Certification Expenses
  • Gratuity
  • 24x7 Health Desk

About the Company

We are headquartered in Pittsburgh, USA, with global locations. Our team of experts is driven by our clients' unique ideas. We have micro offices in Hyderabad, Chennai, Bengaluru, and Delhi NCR in India. While technical expertise is ingrained in our DNA, we are more than engineers; we are trusted product strategists. Our people-centric culture values extraordinary employees creating amazing things. Join us to find your Ikigai where aspirations and business objectives meet.

Key Roles and Responsibilities:
  • Ensure data is cleansed, mapped, transformed, and optimized for storage and use according to requirements
  • Develop and maintain innovative Data Solutions
  • Able to automate tasks and deploy production standard code
  • Build data pipelines to bring data together
  • Extract data, troubleshoot, and maintain the data warehouse
  • Enhance coding standards and adapt to new practices in a fast-paced environment
  • Work collaboratively in a team environment with Product Owners, Stakeholders, and Software Engineers
  • Mentor and onboard new team members
  • Enable Dataculture within the team
Key Requirements
  • Bachelor's degree or higher in the technology field
  • 3+ years of experience in data engineering

Experience with Snowflake Data Warehouse (at least 2 years) and Python development (at least 2 years) is a must. Knowledge of Spark, Airflow, AWS Step functions, and other data tools is preferred.

Experience in SQL, ELT/ETL processes, data warehousing, and Azure cloud technologies is preferred. Exposure to big data processing and data governance programs is a plus.

Understanding of claims payer, formulary, RWE, EHR/EMR, or healthcare data is recommended.

Join us in handling big data challenges and shaping the future of data engineering