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