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Über
Data Engineer
with extensive experience in
Fivetran
to design, implement, and maintain robust data pipelines from the ground up. This role is critical to ensuring seamless data integration and enabling scalable analytics across the organization.
Key Responsibilities
Design and Build Data Pipelines:
Develop and configure end-to-end data pipelines using Fivetran, ensuring efficient extraction, transformation, and loading (ETL) processes. Integration Setup:
Connect multiple data sources (APIs, SaaS platforms, databases) to Fivetran and manage schema mapping and transformations. Data Modeling:
Collaborate with analytics and BI teams to design optimized data models for reporting and analysis. Performance Optimization:
Monitor pipeline performance, troubleshoot issues, and implement improvements for scalability and reliability. Automation & Documentation:
Automate workflows and maintain clear documentation for all data processes. Security & Compliance:
Ensure data integrity, security, and compliance with organizational and regulatory standards. Required Qualifications
Technical Expertise:
Proven experience with
Fivetran
(pipeline setup, connectors, transformations). Strong knowledge of
SQL
and relational databases. Familiarity with
cloud data warehouses
(Snowflake, BigQuery, Redshift).
Data Engineering Skills:
Experience building ETL/ELT pipelines from scratch. Understanding of data modeling and schema design.
Additional Skills:
Proficiency in Python or other scripting languages for data manipulation. Knowledge of API integrations and RESTful services.
Preferred Qualifications
Experience with
dbt
for transformations. Background in
data governance
and
observability tools . Exposure to
modern data stack
technologies. Soft Skills
Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment.
Sprachkenntnisse
- English
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