ETL Developer
3 days 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 solutions.
Key Responsibilities :
ETL Development & Data Integration :
- Design, develop, and optimize ETL pipelines using Snowflake and dbt (Data Build Tool).- Implement transformations using Jinja templates and SQL models in dbt.
- Ensure data is cleansed, validated, and transformed accurately to meet business requirements.
Data Modeling & Architecture :
- Work with stakeholders to design and implement star schema / snowflake schema and otheroptimized data models.
- Support data warehousing initiatives and ensure alignment with data architecture best practices.
Performance Optimization :
- Monitor, troubleshoot, and optimize SQL queries, dbt models, and Snowflake pipelines for better efficiency.- Implement best practices for performance tuning, query optimization, and cost management in Snowflake.
Automation & Scripting :
- Leverage Python for automating ETL workflows, data quality checks, and operational tasks.
- Integrate dbt with orchestration frameworks (e.g., Airflow, dbt Cloud, or equivalent).
Data Governance & Quality :
- Implement data validation frameworks, audit checks, and reconciliation processes.- Maintain documentation of ETL workflows, data models, and transformations for transparency and governance.
Collaboration & 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 issues.
Required 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 Snowflake.
dbt (Data Build Tool) :
- Strong experience in developing and maintaining dbt models.- Proficiency in Jinja templating and SQL transformations in dbt.
- Knowledge of dbt testing frameworks and deployment practices.
SQL Expertise :
- Advanced SQL programming skills for data transformation, analysis, and performance optimization.Secondary Skills (Preferred) :
Python :
- Strong scripting and automation capabilities.- 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.
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