About this role
The team is seeking a Senior Salesforce Data Engineer to join their dynamic team. This role focuses on building and optimizing data engineering solutions to enhance Salesforce capabilities and support data-driven decision-making across the organization.
Key Responsibilities:
- Build scalable ETL/ELT pipelines to ingest, transform, and synchronize large datasets into Salesforce.
- Design integration solutions between Salesforce and enterprise applications using modern APIs and middleware platforms.
- Conduct deep-dive data analysis using SQL, Python, and DBAmp to identify data quality issues, trends, and anomalies.
- Develop data-driven insights that support business operations and strategic initiatives.
- Collaborate with cross-functional teams to define data requirements and ensure data integrity.
Required Skills & Qualifications:
- Strong experience with Salesforce data architecture and management.
- Proficiency in ETL/ELT processes and tools.
- Advanced knowledge of SQL, Python, and DBAmp.
- Experience with API integrations and middleware platforms.
- Strong analytical skills with the ability to interpret complex data sets.
- Excellent communication and collaboration skills.
Experience:
- Minimum of 5-8 years of relevant experience in data engineering and analysis, specifically within Salesforce environments.
What we offer:
- Opportunity to work in a collaborative and innovative environment.
- Professional development and career growth opportunities.
- Engaging projects that impact business outcomes.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.