JOBSEARCHER

Data Engineer

Snowflake Data Engineer We seek professionals who combine strong Pharma/Lifesciences domain expertise with an AI-ready mindset, leveraging AI, GenAI, Data, and Digital Technologies to transform business processes, accelerate outcomes, and unlock new opportunities for innovation.
Role overview: We are seeking a skilled Snowflake Data Engineer with a strong background in designing and implementing scalable data solutions. The ideal candidate will have experience working with Snowflake as a cloud data platform and a solid understanding of data modelling, ETL processes, and performance optimization.
Responsibilities: 1. Snowflake Development:
  • Design and implement data pipelines and workflows on Snowflake.
  • Develop and optimize Snowflake databases, schemas, and tables.
  • Manage Snowflake features like virtual warehouses, shared data, and materialized views.2. Data Integration:
  • Build and maintain ETL/ELT pipelines using tools like Talend, Informatica, Matillion, or equivalent.
  • Integrate data from various sources such as APIs, databases, and flat files.3. Performance Optimization:
  • Monitor and optimize query performance in Snowflake.
  • Implement partitioning, clustering, and caching strategies to enhance performance.4. Data Modeling:
  • Design logical and physical data models based on business requirements.
  • Ensure data accuracy, consistency, and security across pipelines.5. Collaboration:
  • Work closely with data analysts, business stakeholders, and other engineers to deliver data solutions.
  • Document processes, workflows, and architecture.
Required Skills: 1. Technical Proficiency:4+ years of experience in data engineering with at least 2 years working on Snowflake. Strong experience with SQL for querying and scripting. Knowledge of data warehousing concepts and methodologies.2. Cloud Expertise:
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.Hands-on experience with Snowflake utilities like SnowSQL and SnowPipe.3. ETL/ELT Tools:
  • Experience with ETL tools like Matillion, Talend, or Informatica.
  • Scripting experience in Python, Java, or Scala for custom ETL pipelines.4. Other Tools:
  • Proficiency with tools like DBT (Data Build Tool) is a plus.
  • Experience with CI/CD pipelines for deploying data solutions.5. Soft Skills:
  • Strong problem-solving and analytical abilities.
  • Excellent communication and teamwork skills.
Preferred Qualifications: SnowPro Certification or equivalent credentials. Experience in Agile/Scrum development methodologies. Knowledge of data governance and compliance standards (e.g., GDPR, HIPAA)