Data Engineer I

syneoshealth

Remote 2 Years Exp Posted 2h ago

Design, develop, and maintain scalable data pipelines using modern ELT methodologies.
Build and manage data ingestion processes using Fivetran and other integration tools.
Develop, test, and maintain data transformation models using dbt.
Design and optimize Snowflake data warehouse solutions for performance, scalability, and cost efficiency.
Integrate data from multiple sources, including CRM, media, marketing, and third-party platforms.
Ensure data quality, integrity, and consistency across various business domains.
Collaborate with business stakeholders, analysts, and engineering teams to gather requirements and deliver data solutions.
Monitor, troubleshoot, and optimize data pipelines and workflows.
Create and maintain technical documentation, data dictionaries, and data lineage information.
Support reporting and analytics teams by providing clean, reliable, and business-ready datasets.
Adhere to data governance, security, and best practices for data management.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
2–3 years of experience in Data Engineering, Analytics Engineering.
Hands-on experience with:
- Snowflake
- dbt
- Fivetran
Strong SQL development and query optimization skills.
Experience with data modeling concepts such as dimensional modeling, star schema, and fact/dimension design.
Familiarity with Git and version control practices.
Python for scripting and automation.
Experience working in Agile development environments.
Strong understanding of data quality, testing, and monitoring frameworks.
Exposure to cloud platforms such as AWS, Azure, or GCP.
Understanding of CI/CD practices for data engineering workflows.
- Experience working with API integrations and semi-structured data (JSON, XML).