The Analytics Engineer will design and maintain data pipelines, ensure data quality, and collaborate with teams to provide insights using SQL, Snowflake, DBT, and Python.
Job Summary
RequirementsRequired Skills & Qualifications
We are seeking a skilled Analytics Engineer/Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions. The ideal candidate has strong experience with SQL, Snowflake, and DBT, along with orchestration tools like Airflow and programming skills in Python. You will work closely with analytics, product, and business teams to transform raw data into reliable, analytics-ready datasets.
Key Responsibilities- Design, develop, and maintain scalable data models using DBT
- Build and optimize complex SQL queries and transformations in Snowflake
- Develop and maintain data pipelines using Airflow (or similar orchestration tools)
- Ensure data quality, testing, documentation, and reliability across data models
- Optimize Snowflake performance and cost through efficient modeling and query design
- Collaborate with stakeholders to understand data requirements and deliver actionable insights
- Write clean, maintainable Python code for data processing and automation
- Monitor pipelines and troubleshoot data issues proactively
RequirementsRequired Skills & Qualifications
- Strong proficiency in SQL (advanced querying, optimization, data modeling)
- Hands-on experience with Snowflake data warehouse
- Solid experience with DBT (models, tests, snapshots, macros)
- Experience with Airflow or similar workflow orchestration tools
- Proficiency in Python for data engineering and automation tasks
- Understanding of data warehousing concepts and ELT best practices
- Experience working with large datasets and analytics workloads
Top Skills
Airflow
Dbt
Python
Snowflake
SQL
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