Fivetran Architect

Job highlights

• Experience: Minimum of [X] years of experience working with Fivetran or other ETL tools in a data engineering or data integration role. Technical Skills: . Proficiency with SQL and experience with cloud data warehouses (e.g.,Snowflake,BigQuery,Redshift)
• Experience with cloud platforms such as AWS,GCP,or Azure

Five Tran JD

Job Summary:

We are seeking an experienced Fivetran Expert to join our data engineering team. The ideal candidate will be responsible for implementing, managing, and optimizing data pipelines using Fivetran. You will work closely with our data engineering, analytics, and business intelligence teams to ensure seamless data integration from various sources into our data warehouse. This role requires a deep understanding of data integration best practices and experience with the Fivetran platform.

Key Responsibilities:

• Environment Setup: Setup Fivetran environments as per customer needs.

• Data Integration: Design, implement, and manage data pipelines using Fivetran to automate data extraction, transformation, and loading (ETL) processes.

• Configuration Optimization: Configure and optimize Fivetran connectors to ensure efficient data syncs, minimize latency, and manage data loads.

• Monitoring Maintenance: Monitor the health of Fivetran pipelines, troubleshoot issues, and implement solutions to ensure continuous data flow.

• Collaboration: Work closely with data engineers, analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions.

• Data Quality Governance: Ensure data integrity and compliance with data governance policies by implementing best practices in data handling and transformation.

• Performance Tuning: Identify opportunities to improve performance, scalability, and efficiency in the data integration processes.

• Documentation: Maintain comprehensive documentation of data pipelines, configurations, and processes to support team knowledge sharing and onboarding.

Qualifications:

Experience: Minimum of [X] years of experience working with Fivetran or other ETL tools in a data engineering or data integration role.

Technical Skills:

• Proficiency with SQL and experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).

• Strong understanding of data modeling, ETL processes, and data warehousing concepts.

• Experience with cloud platforms such as AWS, GCP, or Azure.

• Familiarity with other data integration tools and technologies (e.g., dbt, Airflow) is a plus.

• Problem-Solving: Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.

• Communication: Excellent communication skills to collaborate effectively with technical and non-technical stakeholders.

• Certifications: Relevant certifications in Fivetran, data engineering, or cloud platforms are a plus.

Preferred Qualifications:

• Experience in a fast-paced, dynamic environment with the ability to manage multiple projects simultaneously.

• Strong understanding of API integrations and experience with custom data connectors.

• Knowledge of Python or another programming language for scripting and automation.