Senior Data Engineer

Job Title

Senior Data Engineer

Key Responsibilities

• Data Pipeline Development:
  Design, build, and maintain efficient data pipelines using Snowflake and DBT.
• Data Modeling:
  Develop and optimize data models in Snowflake to support analytics and reporting needs.
• ETL Processes:
  Implement ETL processes to transform raw data into structured formats using DBT.
• Performance Tuning:
  Optimize Snowflake queries and DBT models for performance and scalability.
• Data Integration:
  Integrate Snowflake with various data sources and third-party tools.
• Collaboration:
  
  Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions.
• Data Quality:
  Implement data quality checks and testing to ensure the accuracy and reliability of data.
• Documentation:
  Document data transformation processes and maintain comprehensive records of data models and pipelines.

Required Skills

• Proficiency in SQL:
  Strong SQL skills for writing and optimizing queries.
• Experience with Snowflake:
  Hands-on experience with Snowflake, including data modeling, performance tuning, and integration.
• DBT Expertise:
  Proficient in using DBT for data transformation and modeling.
• Data Warehousing:
  Knowledge of data warehousing concepts and experience with platforms like Snowflake.
• Analytical Thinking:
  Ability to analyze complex data sets and derive actionable insights.
• Communication:
  Strong communication skills to collaborate with cross-functional teams.
• Problem-Solving:
  Excellent problem-solving skills and attention to detail.
• python, pyspark, AWS