Data Engineer

Vrinda International; India; Remote; INR 1,200,000 - 1,400,000; Full time

Job summary

Vrinda International is seeking an experienced Data Engineer to join our IT Services division in India. You will design, build, and maintain data pipelines across Salesforce ecosystem and data warehouse, enabling data-driven decisions with scalable architectures using Snowflake, Python, and SQL.

You will optimize ETL processes, ensure data integrity, and contribute to loading and transformation workflows. The role requires 6–8 years of data engineering experience, strong SQL/Python skills,

Qualifications

• 6–8 years of professional data engineering experience.
• Strong proficiency with Salesforce APIs and data loading utilities.
• Experience designing and executing ETL processes and bulk loading.
• Proficient in SQL and Python for data manipulation and automation.
• Hands-on with Snowflake as a primary data warehouse.
• Git for version control and code reviews.

Responsibilities

• Architect and develop efficient ETL solutions for Salesforce-focused bulk data loading.
• Integrate Salesforce APIs for data synchronization with CRM.
• Use Salesforce data loading tools for large-scale migration and maintenance.
• Write and optimize SQL queries and Python scripts for data processing.
• Collaborate on code reviews and adhere to Git practices.
• Monitor data pipelines and ensure high availability on Snowflake.
• Implement secure, scalable data loading strategies for growth.

Skills

SQL

Python

ETL pipelines

Salesforce APIs

Snowflake

Data integration

Git

Data loading

Tools

Snowflake

Git

Salesforce APIs

Salesforce data loading tools

Job description

Bangalore | Chennai | Hyderabad | Pune | Gurugram, India

• Country India

About Us

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Job Description

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.