Designs, builds, and maintains ETL workflows, bulk data loading solutions, Salesforce integrations, and Snowflake data pipelines. Writes optimized SQL and Python scripts for large-scale data manipulation and automation, manages Git version control and code reviews, and develops scalable data models supporting business intelligence and reporting. Collaborates with cross-functional teams to define data requirements and deliver reliable technical solutions.
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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