Senior Salesforce Data Engineer
First Advantage
IndiaremotePosted 6 days ago
Skill Required
Salesforce-Data-EngineerData-EngineeringSalesforce-DeveloperCRM-Data-ManagementSalesforce-ArchitectureSenior-Salesforce-CRM-EngineerSalesforce-Data-Cloud-EngineerSenior-Data-EngineeringSalesforce-Analytics-EngineerSalesforce-Data-ArchitectData-EngineerData EngineerSalesforce DeveloperSalesforceData Warehousingdata engineeringData Structuresrelated fieldSQL ServerEngineeringR ProgrammingCryptographySnowflakePower BIanalyticsBigQuerysecurityTableauPythonPandasOracledesignDevOpsGitNumPyCI/CDAgileCloudFulltime
Key highlights
- 7–9+ years of experience required
- Expert-level SOQL and SOSL required
- Apex programming and Apex collections required
- Salesforce Shield (Data Encryption) knowledge required
- DataOps and DevOps best practices knowledge required
- CI/CD deployment pipelines knowledge required
Role overview
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, DBAmp to identify data quality issues, trends, and anomalies.
- Develop data-driven insights that support business operations and strategic initiatives.
- Design, optimize, and maintain Salesforce standard and custom objects.
- Create scalable data models that support reporting, analytics, and business intelligence requirements.
- Implement automated data quality controls, deduplication processes, and data cleansing frameworks.
- Enforce data governance, security, compliance, and retention policies across Salesforce platforms.
- Monitor and optimize data integration processes, APIs, and Salesforce data operations.
- Improve system scalability and data processing efficiency.
Requirements
- 7–9+ years of experience in Data Engineering, Salesforce Data Architecture, Data Integration, or CRM Data Management.
- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
- Proven track record delivering large-scale Salesforce data migration, integration, and transformation projects.
- Ability to translate complex data structures and technical concepts into business-friendly insights for stakeholders.
- Expert-level SOQL and SOSL
- Apex programming and Apex collections
- Salesforce REST and SOAP APIs
- Deep understanding of Salesforce Data Model and Schema
- Salesforce Shield (Data Encryption)
- Role Hierarchies, Sharing Rules, Permission Sets, and Data Security best practices
- Expert-level SQL
- Proficiency in Python (Pandas, NumPy) for data analysis and transformation
- Snowflake
- BigQuery
- Oracle Database
- SQL Server
- Data integration and ETL/ELT frameworks
- Power BI
- Tableau
- Salesforce CRM Analytics
- Git
- GitHub
- GitLab
- CI/CD deployment pipelines
- Agile/Scrum development methodologies
- DataOps and DevOps best practices
- Salesforce Sales Cloud
- Salesforce Service Cloud
- Salesforce Data Cloud
Additional details
- Data Loader
- Bulk API 2.0
- Platform Events
- Change Data Capture (CDC)