Key Responsibilities
Salesforce Data Engineering & Analysis
Pipeline Architecture
- Build scalable ETL/ELT pipelines to ingest, transform, and synchronize large datasets into Salesforce.
- Design integration solutions between Salesforce and enterprise applications using up-to-date 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

DevOp

📌 Senior Salesforce Data Engineer (Bengaluru)
🏢 First Advantage
📍 Bengaluru