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Vrinda International

DATA ENGINEER

Vrinda International India · ₹2M/yr

Human Resources Services · 11-50 employees

20 h ago
Remote data-engineer Senior (5-10 yrs) Full-time India
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About the role

The Data Engineer will design, build, and maintain robust data pipelines to facilitate information flow between Salesforce and analytical platforms. They are responsible for architecting ETL workflows, optimizing SQL queries, and managing data models within the Snowflake cloud environment.

What they look for

Data Engineering Salesforce APIs ETL SQL Python Snowflake Git Data Modeling Data Pipelines Business Intelligence Automation Data Integrity

Requirements

Candidates must have at least 5 years of professional experience in data engineering with strong proficiency in Salesforce APIs and ETL processes. Advanced skills in SQL, Python, and Snowflake architecture are required, along with experience in version control using Git.

Full description

Data Engineer

Summary

We are seeking a highly skilled Data Engineer to join our IT Services team, where you will play a pivotal role in designing, building, and maintaining robust data pipelines. This position is critical for ensuring the seamless flow of information between Salesforce environments and our analytical platforms, enabling data-driven decision-making across the organization. The successful candidate will leverage their expertise in modern data technologies to optimize data loading processes, ensure data integrity, and support complex ETL operations within a scalable Snowflake infrastructure.

Responsibilities

  • Architect and implement efficient ETL workflows and bulk data loading solutions to facilitate high-volume data transfers.
  • Develop and maintain integrations utilizing Salesforce APIs and specialized data loading utilities.
  • Write, optimize, and review complex SQL queries and Python scripts to manipulate and analyze large datasets.
  • Manage version control workflows, including conducting thorough code reviews and maintaining repository hygiene using Git.
  • Design and deploy data models and pipelines within the Snowflake cloud environment to support business intelligence and reporting needs.
  • Collaborate with cross-functional teams to identify data requirements and deliver scalable technical solutions.

Requirements

Requirements:

  • Minimum of 5 years of professional experience in data engineering or a related technical field.
  • Proven proficiency with Salesforce APIs and dedicated data loading tools.
  • Strong hands-on experience with ETL processes and bulk data loading techniques.
  • Advanced skills in SQL and Python for data manipulation and automation.
  • Demonstrated expertise with Snowflake data platform architecture and management.
  • Solid background in using Git for source control and performing peer code reviews.
  • Familiarity with the IT Services industry and its specific data challenges.

Salary

₹15 LPA

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