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Vrinda International

Data Engineer

Vrinda International Kolar, Karnataka, India · ₹1M/yr

Human Resources Services · 11-50 employees

Yesterday
data-engineer Senior (5-10 yrs) Full-time India
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About the role

You will design, build, and maintain robust data pipelines and ETL solutions to facilitate seamless data flow within the Salesforce ecosystem. Additionally, you will monitor and troubleshoot data pipelines while collaborating with teams to optimize SQL queries and Python scripts.

What they look for

Data Engineering Salesforce ETL Snowflake Python SQL Data Pipelines API Integration Data Migration Git Code Review Data Integrity Automation Data Warehousing

Requirements

Candidates must have 6 to 8 years of professional experience in data engineering with deep proficiency in Salesforce APIs and data loading utilities. Strong expertise in SQL, Python, and Snowflake is required, along with competency in version control systems like Git.

Full 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.

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