Data Engineer

We are seeking a highly skilled 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

Soft Skills