Build scalable ETL/ELT pipelines to ingest, transform, and synchronize large datasets into Salesforce.
Design integration solutions between Salesforce and enterprise applications using contemporary APIs and middleware platforms.
Advanced Analytics
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.
Data Modelling
Design, optimize, and maintain Salesforce standard and custom objects.
Create scalable data models that support reporting, analytics, and business intelligence requirements.
Data Governance
Implement automated data quality controls, deduplication processes, and data cleansing frameworks.
Enforce data governance, security, compliance, and retention policies across Salesforce platforms.
Performance Optimization
Monitor and optimize data integration processes, APIs, and Salesforce data operations.
Improve system scalability and data processing efficiency.
Required Tools & Technical Skillset
Salesforce Ecosystem
Data Management
Salesforce Sales Cloud, Service Cloud, Data Cloud
Data Loader
Bulk API 2.0
Platform Events
Change Data Capture (CDC)
Querying & Development
Expert-level SOQL and SOSL
Apex programming and Apex collections
Salesforce REST and SOAP APIs
Security & Architecture
Deep understanding of Salesforce Data Model and Schema
Salesforce Shield (Data Encryption)
Role Hierarchies, Sharing Rules, Permission Sets, and Data Security best practices
Core Data Engineering & Analytics
Languages
Expert-level SQL
Proficiency in Python (Pandas, NumPy) for data analysis and transformation
Data Warehousing & Integration
Snowflake
BigQuery
Oracle Database
SQL Server
Data integration and ETL/ELT frameworks
BI & Analytics Tools
Power BI
Tableau
Salesforce CRM Analytics
DevOps & Methodology
Tools
Git
GitHub
GitLab
Pro
📌 Senior Salesforce Data Engineer (India)
🏢 First Advantage
📍 India
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