Senior Salesforce Data Engineer

Jobgether; India; On-site; INR 3,500,000 - 5,200,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Volunteer leave

Professional development

Career growth

Job summary

Jobgether, on behalf of a partner company, is seeking a Senior Salesforce Data Engineer based in India. The role focuses on building scalable, secure data pipelines within the Salesforce ecosystem.

You will design data models, optimize ETL/ELT processes, and collaborate with stakeholders to deliver data-driven insights using Snowflake, BigQuery, and Salesforce APIs. Strong SQL and Python skills are essential.

Qualifications

• 7–9+ years of professional experience in Data Engineering or related fields.
• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or another relevant technical discipline.
• Advanced expertise in Salesforce data engineering and architecture.
• Expert-level SQL skills and strong Python experience (Pandas, NumPy).
• Experience with Snowflake, BigQuery, Oracle, and SQL Server.
• Proficient with Salesforce APIs, Data Loader, and Change Data Capture.

Responsibilities

• Design and build scalable ETL/ELT pipelines within Salesforce.
• Develop integrations linking Salesforce with enterprise apps via APIs and middleware.
• Analyze data with SQL and Python to identify quality issues and trends.
• Design scalable Salesforce data models for reporting, analytics, and BI.
• Enforce data governance, security, and retention across Salesforce environments.
• Monitor and optimize data integrations and processing workflows.
• Collaborate with stakeholders to translate data concepts into actionable insights.

Skills

Data engineering

Salesforce data architecture

SQL

Python (Pandas/NumPy)

Apex

Data modeling

Analytical thinking

Communication

Education

Bachelor’s degree in Computer Science or related field

Tools

Snowflake

BigQuery

Oracle Database

SQL Server

Power BI

Tableau

Salesforce REST/SOAP APIs

Git

CI/CD (GitHub/GitLab)

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for aSenior Salesforce Data Engineerbased inIndia.

This is a senior technical opportunity focused on building scalable, secure, and high-performing data solutions within the Salesforce ecosystem.
You will design and optimize data pipelines, integrations, and models that support critical business operations, reporting, analytics, and strategic decision-making.
The role combines Salesforce data architecture with advanced data engineering, analytics, governance, and performance optimization.
You will work with large and complex datasets while ensuring data quality, security, compliance, and reliability across platforms.
The position offers broad exposure to technologies including Salesforce, Python, SQL, Snowflake, BigQuery, APIs, and modern ETL/ELT frameworks.
You will collaborate with technical and business stakeholders, translating complex data structures into actionable insights and scalable solutions.
This is an ideal role for an experienced data engineer who enjoys solving complex problems and driving modern data transformation initiatives.

Accountabilities

• Design and build scalable ETL/ELT pipelines to ingest, transform, synchronize, and manage large datasets within Salesforce.
• Develop integration solutions connecting Salesforce with enterprise applications through modern APIs, middleware platforms, and integration frameworks.
• Perform advanced data analysis using SQL, Python, Pandas, NumPy, DBAmp, and related tools to identify data-quality issues, trends, anomalies, and opportunities for improvement.
• Generate data-driven insights that support operational decision-making and broader business and strategic initiatives.
• Design, optimize, and maintain Salesforce standard and custom objects and scalable data models supporting reporting, analytics, and business intelligence.
• Implement automated data-quality controls, deduplication processes, cleansing frameworks, and other mechanisms to improve data accuracy and consistency.
• Enforce data governance, security, compliance, and data-retention standards across Salesforce environments.
• Monitor and optimize data integrations, APIs, Salesforce data operations, and processing workflows to improve scalability and performance.
• Work extensively with Salesforce Sales Cloud, Service Cloud, Data Cloud, Data Loader, Bulk API 2.0, Platform Events, and Change Data Capture.
• Develop and optimize SOQL and SOSL queries and contribute to Apex-based data solutions.
• Design and support Salesforce REST and SOAP API integrations.
• Apply Salesforce data-modeling and security expertise, including Salesforce Shield, data encryption, role hierarchies, sharing rules, permission sets, and data-security best practices.
• Work with enterprise data platforms and databases including Snowflake, BigQuery, Oracle Database, and SQL Server.
• Support analytics and visualization initiatives using Power BI, Tableau, and Salesforce CRM Analytics.
• Follow Git-based development practices and contribute to CI/CD pipelines using GitHub, GitLab, and related DevOps tools.
• Apply Agile/Scrum, DataOps, and DevOps methodologies to deliver reliable and maintainable data solutions.
• Translate complex technical and data concepts into clear, business-friendly insights for stakeholders.

Requirements

• 7–9+ years of professional experience in Data Engineering, Salesforce Data Architecture, Data Integration, CRM Data Management, or a closely related field.
• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or another relevant technical discipline.
• Advanced expertise in Salesforce data engineering and architecture.
• Strong experience with Salesforce Sales Cloud, Service Cloud, and Data Cloud.
• Expert-level knowledge of SOQL and SOSL, with strong experience using Apex and Apex collections.
• Strong knowledge of Salesforce REST and SOAP APIs, Data Loader, Bulk API 2.0, Platform Events, and Change Data Capture.
• Deep understanding of the Salesforce data model, schema design, security architecture, and data-management best practices.
• Experience with Salesforce Shield, data encryption, role hierarchies, sharing rules, permission sets, and Salesforce data-security controls.
• Expert-level SQL skills and strong proficiency in Python for data analysis and transformation, particularly using Pandas and NumPy.
• Hands‑on experience with data warehousing and integration technologies such as Snowflake, BigQuery, Oracle Database, and SQL Server.
• Experience with ETL/ELT frameworks and large-scale data migration, integration, and transformation projects.
• Familiarity with BI and analytics platforms including Power BI, Tableau, and Salesforce CRM Analytics.
• Experience with Git, GitHub, GitLab, CI/CD pipelines, and modern DevOps practices.
• Familiarity with Agile/Scrum and DataOps methodologies.
• Proven track record of delivering large-scale Salesforce data migration, integration, and transformation initiatives.
• Strong analytical and problem-solving capabilities, with the ability to diagnose complex data and integration challenges.
• Excellent communication skills and the ability to explain sophisticated technical concepts and data structures to non‑technical stakeholders.
• Ability to work collaboratively across technical, analytical, and business teams while managing complex priorities.

Benefits

• Competitive employee benefits package.
• Supplemental health and dental insurance coverage.
• Generous paid time-off allowance, subject to applicable eligibility requirements.
• Paid volunteer leave supporting community and philanthropic activities.
• Employee Assistance Program available to employees.
• Professional development and career growth opportunities.
• Access to structured career-development initiatives and programs.
• Employee resource groups and activities designed to strengthen collaboration and employee connections.
• Opportunities to work with modern Salesforce, data engineering, analytics, cloud, and integration technologies.
• Exposure to large-scale international data and technology initiatives.