Key ResponsibilitiesSalesforce Data Engineering & AnalysisPipeline ArchitectureBuild 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.Advanced AnalyticsConduct 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 ModellingDesign, optimize, and maintain Salesforce standard and custom objects.Create scalable data models that support reporting, analytics, and business intelligence requirements.Data GovernanceImplement automated data quality controls, deduplication processes, and data cleansing frameworks.Enforce data governance, security, compliance, and retention policies across Salesforce platforms.Performance OptimizationMonitor and optimize data integration processes, APIs, and Salesforce data operations.Improve system scalability and data processing efficiency.Required Tools & Technical SkillsetSalesforce EcosystemData ManagementSalesforce Sales Cloud, Service Cloud, Data CloudData LoaderBulk API 2.0Platform EventsChange Data Capture (CDC)Querying & DevelopmentExpert-level SOQL and SOSLApex programming and Apex collectionsSalesforce REST and SOAP APIsSecurity & ArchitectureDeep understanding of Salesforce Data Model and SchemaSalesforce Shield (Data Encryption)Role Hierarchies, Sharing Rules, Permission Sets, and Data Security best practicesCore Data Engineering & AnalyticsLanguagesExpert-level SQLProficiency in Python (Pandas, NumPy) for data analysis and transformationData Warehousing & IntegrationSnowflakeBigQueryOracle DatabaseSQL ServerData integration and ETL/ELT frameworksBI & Analytics ToolsPower BITableauSalesforce CRM AnalyticsDevOps & MethodologyToolsGitGitHubGitLabProcessCI/CD deployment pipelinesAgile/Scrum development methodologiesDataOps and DevOps best practicesQualifications & ExperienceExperience7–9+ years of experience in Data Engineering, Salesforce Data Architecture, Data Integration, or CRM Data Management.EducationBachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.Problem SolvingProven track record delivering large-scale Salesforce data migration, integration, and transformation projects.CommunicationAbility to translate complex data structures and technical concepts into business-friendly insights for stakeholders.We have great people here and are looking for more. Come join us!Follow us:FacebookInstagramLinkedInXYouTubeEqual Employment Opportunities at First AdvantageFirst Advantage is an equal opportunity employer. We are committed to providing a workplace and recruitment process that is free from unlawful discrimination, harassment, and retaliation. Employment decisions at First Advantage are based solely on qualifications, merit, and business needs. We do not discriminate in any aspect of employment on the basis of race, color, national origin, ancestry, citizenship, religion, creed, sex, gender identity, gender expression, sexual orientation, marital or family status, pregnancy, age, physical or mental disability, medical condition, genetic information, veteran or military status, or any other characteristic protected by applicable law.