
ETL Developer
2 weeks ago
Role Overview :
We are seeking a highly skilled and experienced ETL Developer with strong expertise in Snowflake and dbt (Jinja + SQL). The ideal candidate will be responsible for designing, building, and maintaining robust ETL pipelines and data workflows to support enterprise-level analytics and business intelligence initiatives.
Secondary expertise in Python for automation and scripting will be an added advantage.
This role requires hands-on technical expertise, problem-solving skills, and the ability to collaborate with cross-functional teams to deliver scalable and efficient data Responsibilities :
ETL Development & Data Integration :
- Implement transformations using Jinja templates and SQL models in dbt.
- Ensure data is cleansed, validated, and transformed accurately to meet business Modeling & Architecture :
optimized data models.
- Support data warehousing initiatives and ensure alignment with data architecture best Optimization :
- Implement best practices for performance tuning, query optimization, and cost management in & Scripting :
- Leverage Python for automating ETL workflows, data quality checks, and operational tasks.
- Integrate dbt with orchestration frameworks (e.g., Airflow, dbt Cloud, or Governance & Quality :
- Maintain documentation of ETL workflows, data models, and transformations for transparency and & Support :
- Partner with business analysts, data scientists, and BI developers to provide high-quality, reliable datasets.
- Provide production support for ETL jobs, ensuring timely resolution of Skills (Mandatory) :
- Advanced knowledge of Snowflake features (Warehouses, Schemas, Cloning, Micro-partitioning, Streams, Tasks).
- Experience in query optimization, performance tuning, and cost-effective scaling in (Data Build Tool) :
- Proficiency in Jinja templating and SQL transformations in dbt.
- Knowledge of dbt testing frameworks and deployment Expertise :
- Experience in integrating Python scripts into ETL workflows.
- Familiarity with data manipulation libraries (e.g., Pandas, PySpark).
- Familiarity with cloud platforms (AWS/Azure/GCP) and orchestration tools like Airflow.
- Knowledge of version control (Git/GitHub/GitLab) and CI/CD practices.
- Exposure to data visualization tools (Tableau, Power BI) is a plus.
(ref:hirist.tech)
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