The Role
Designs, builds, and maintains scalable ETL pipelines connecting Salesforce with Snowflake and other data systems. The role manages Salesforce APIs and bulk data loading, writes and optimizes SQL and Python for data transformation, conducts Git-based code reviews, and monitors pipeline performance, availability, and data integrity.
Summary Generated by Built In
Summary
We are seeking an experienced Data Engineer to join our IT Services division. In this pivotal role, you will design, build, and maintain robust data pipelines that facilitate seamless information flow across our Salesforce ecosystem and data warehouse. You will be instrumental in ensuring data integrity, optimizing ETL processes, and enabling data-driven decision-making through the implementation of scalable architectures using Snowflake, Python, and SQL. This position offers the opportunity to work with cutting-edge technologies while driving efficiency in our data loading and transformation workflows.
Responsibilities
- Architect and develop efficient ETL solutions for bulk data loading operations, specifically tailored for Salesforce environments.
- Integrate and manage Salesforce APIs to ensure accurate and timely data synchronization between external systems and the CRM.
- Utilize specialized Salesforce data loading tools to handle large-scale data migration and maintenance tasks.
- Write, review, and optimize complex SQL queries and Python scripts to support data processing and analysis needs.
- Collaborate with development teams to conduct code reviews, ensuring adherence to best practices and version control standards using Git.
- Monitor and troubleshoot data pipelines to maintain high availability and performance within the Snowflake platform.
- Implement secure and scalable data loading strategies to support business growth and operational requirements.
Requirements
Requirements:
- Possess 6 to 8 years of professional experience in data engineering, with a strong focus on IT Services.
- Demonstrate deep proficiency with Salesforce APIs and dedicated data loading utilities.
- Show proven expertise in designing and executing ETL processes and bulk data loading strategies.
- Be highly skilled in SQL and Python for data manipulation, transformation, and automation.
- Have hands-on experience working with Snowflake as a primary data warehouse solution.
- Exhibit strong competency in version control systems, specifically Git, including the ability to perform thorough code reviews.
- Hold a competitive salary expectation within the range of ₹12-14 LPA.
Skills Required
- 6 to 8 years of professional experience in data engineering, particularly within IT Services
- Deep proficiency with Salesforce APIs and dedicated Salesforce data loading utilities
- Expertise designing and executing ETL processes and bulk data loading strategies
- Strong SQL and Python skills for data manipulation, transformation, and automation
- Hands-on experience with Snowflake as a primary data warehouse
- Competency with Git, including thorough code reviews and version control practices
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The Company
What We Do
Vrinda International is a Chandigarh-based recruitment and education consultancy connecting job seekers and employers through domestic and international IT and non-IT hiring. It also supports students with overseas university admissions, visa applications, education guidance, and test preparation for IELTS, PTE, and other programs. Its tech-enabled talent portal provides job matching and career pathways across India and global markets, alongside staffing partnerships.
