Live opening · Posted 27 days ago
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Description supplied by the original job listing.
We're looking for a Salesforce Data Engineer to build scalable data pipelines and enable seamless data movement between Salesforce and enterprise data platforms. In this role, you'll work on cloud-native data solutions, optimise ETL/ELT workflows, and support analytics by delivering reliable, high-quality data.
Responsibilities:
Design and develop data pipelines integrating Salesforce with enterprise systems and cloud data platforms.
Build and optimise ETL/ELT workflows for large-scale data processing.
Develop data models to support reporting, analytics, and business intelligence.
Integrate Salesforce using APIs and modern integration frameworks.
Ensure data quality, governance, security, and performance across data pipelines.
Collaborate with cross-functional teams to deliver scalable and reliable data solutions.
Requirements:
5-10 years of experience in Data Engineering.
Strong experience with Salesforce data (Sales Cloud and/or Service Cloud).
Expertise in SQL and programming with Python or Java.
Hands-on experience with Salesforce APIs, ETL/ELT tools, and cloud platforms (AWS, Azure, or GCP).
Experience with modern data warehouses such as Snowflake, Databricks, Redshift, BigQuery, or Synapse.
Familiarity with orchestration tools like Airflow or Azure Data Factory.
Exposure to CI/CD, Git, and data modelling concepts.
Good to Have
Salesforce Data Cloud or Marketing Cloud experience.
Kafka, dbt, Tableau, or Power BI exposure.
Salesforce or Cloud certifications.
Experience
6-10 yrs
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