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Position Overview
We are seeking a
Data Engineer / Analytics Engineer
with strong expertise in
Snowflake, dbt, and SQL
to design, build, and optimize modern data pipelines and analytics solutions. The ideal candidate will have hands on experience with cloud data warehouses, data modeling, and transformation frameworks, enabling scalable and reliable data driven insights across the organization.
Key Responsibilities
Data Pipeline Development
Design and implement ETL/ELT workflows using
dbt
and SQL.
Develop efficient data models in
Snowflake
to support analytics and reporting.
Optimize queries and transformations for performance and cost efficiency.
Data Management
Governance
Ensure data quality, consistency, and lineage across pipelines.
Implement role based access controls and security best practices in Snowflake.
Collaborate on data governance initiatives to maintain trusted datasets.
Integration
Collaboration
Integrate Snowflake with BI tools (Looker, Tableau, Power BI).
Partner with analysts, data scientists, and business stakeholders to deliver reliable datasets.
Support migration projects from legacy systems to Snowflake.
Automation
Operations
Automate workflows using dbt Cloud, Airflow, or similar orchestration tools.
Monitor and troubleshoot data pipelines, ensuring high availability.
Contribute to CI/CD practices for data engineering projects.
Required Skills
Qualifications
Strong hands on experience with
Snowflake
(data modeling, performance tuning, security).
Proficiency in
dbt
(data transformations, testing, documentation).
Advanced
SQL
skills for complex queries and optimization.
Familiarity with cloud platforms (AWS, Azure, or GCP).
Experience with version control (Git) and workflow orchestration tools (Airflow, Prefect).
Knowledge of BI/analytics tools (Looker, Tableau, Power BI).
Relevant certifications (e.g.,
Snowflake SnowPro Core , dbt Fundamentals) preferred.
Sprachkenntnisse
- English
Hinweis für Nutzer
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