Data Engineer transforming data for analysis in an insurance company. Responsible for building data infrastructures and optimizing data delivery.
About the role
- Senior Data Engineer designing and developing scalable data pipelines using DBT and Python. Collaborating with internal stakeholders for analytics and reporting solutions.
Responsibilities
- Design, develop, and maintain DBT models, transformations, and SQL code for analytics and reporting
- Build scalable and efficient ETL pipelines using DBT and other relevant tools
- Write complex and high-performance SQL queries to process and analyze large datasets
- Develop clean, scalable, and efficient code using Python, with strong hands-on experience in Pandas and NumPy
- Optimize data pipelines for performance, scalability, and cost efficiency
- Troubleshoot and resolve ETL and data pipeline performance issues
- Develop scripts using Unix Shell scripting, Python, and other scripting tools for data extraction, transformation, and loading
- Write and optimize Snowflake SQL queries and support Snowflake implementations
- Work with orchestration tools such as Airflow or similar workflow management platforms
- Integrate user-facing elements into applications where required
- Collaborate with internal stakeholders to understand business requirements and translate them into technical solutions
- Ensure data quality, validation, and testing within DBT workflows
Requirements
- 5+ Years of experience in DBT and Python
- Strong programming expertise in Python (mandatory)
- Advanced proficiency in SQL, including writing complex queries on large datasets
- Hands-on experience in designing and maintaining ETL pipelines
- Experience in Unix Shell scripting
- Strong understanding of data warehousing concepts and best practices
Job title
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Degree requirement
Tech skills
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