Senior Salesforce Data Engineer

Posted Aug 28

This is a fully remote position, open to applicants in India.

📋 Description

• Develop scalable ETL/ELT pipelines to ingest, transform, and synchronize extensive datasets within Salesforce.

• Create integration solutions connecting Salesforce with enterprise applications utilizing modern APIs and middleware platforms.

• Perform comprehensive data analysis using SQL, Python, and DBAmp to detect data quality issues, trends, and anomalies.

• Generate data-driven insights that support business operations and strategic initiatives.

• Design, optimize, and sustain both standard and custom Salesforce objects.

• Establish scalable data models that cater to reporting, analytics, and business intelligence needs.

• Implement automated data quality controls, deduplication procedures, and data cleansing frameworks.

• Uphold data governance, security, compliance, and retention policies across Salesforce platforms.

• Oversee and enhance data integration processes, APIs, and Salesforce data operations.

• Enhance system scalability and the efficiency of data processing.


⛳️ 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 discipline.

• Proven experience in delivering large-scale Salesforce data migration, integration, and transformation projects.

• Ability to convert complex data structures and technical concepts into accessible insights for stakeholders.

• Expert-level proficiency in SOQL and SOSL.

• Skills in Apex programming and Apex collections.

• Familiarity with Salesforce REST and SOAP APIs.

• In-depth knowledge of the Salesforce Data Model and Schema.

• Experience with Salesforce Shield (Data Encryption).

• Understanding of Role Hierarchies, Sharing Rules, Permission Sets, and Data Security best practices.

• Advanced SQL skills.

• Proficient in Python (Pandas, NumPy) for data analysis and transformation.

• Familiarity with Salesforce Sales Cloud, Service Cloud, and Data Cloud.

• Experience with Data Loader, Bulk API 2.0, Platform Events, and Change Data Capture (CDC).

• Proficient with Snowflake, BigQuery, Oracle Database, and SQL Server.

• Experience with data integration and ETL/ELT frameworks.

• Familiarity with Power BI, Tableau, and Salesforce CRM Analytics.

• Experience using Git, GitHub, and GitLab.

• Knowledge of CI/CD deployment pipelines, Agile/Scrum development methodologies, and DataOps/DevOps best practices.


🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Professional development opportunities and support for continued education.

• Collaborative and inclusive company culture.

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