Senior Salesforce Data Engineer

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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First Advantage

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

👥 HR Tech

☁️ SaaS

🤝 B2B

HR Tech • SaaS • B2B

First Advantage is a leading provider of global software and data for the HR technology market. Enabled by proprietary technology and AI, it delivers employment background screening, digital identity and verification services, APIs, and risk-monitoring products across the employee lifecycle. The company emphasizes automation and continuous identity verification, serving roughly 80,000 organizations in over 200 countries and territories, and maintains large proprietary databases (over one billion records). Headquartered in Atlanta and publicly traded (NASDAQ: FA), First Advantage focuses on helping customers hire smarter and onboard faster through software, data and services.

📋 Description

• 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 supporting business operations and strategic initiatives • Design, optimize, and maintain Salesforce standard and custom objects • Create scalable data models supporting 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 • Experience with Salesforce Sales Cloud, Service Cloud, and Data Cloud • Experience with Data Loader, Bulk API 2.0, Platform Events, and Change Data Capture (CDC) • Experience with Snowflake, BigQuery, Oracle Database, and SQL Server • Experience with data integration and ETL/ELT frameworks • Experience with Power BI, Tableau, and Salesforce CRM Analytics • Experience with Git, GitHub, and GitLab • Knowledge of CI/CD deployment pipelines, Agile/Scrum development methodologies, and DataOps/DevOps best practices