Data Engineer
Bhuvi IT Solutions · Mexico ·
- Employment
- Contract
- Category
- Data engineering
- Experience
- 3+ years
Bhuvi IT Solutions · Mexico ·
EXL · Gurugram, Haryana, India
Nearshore Business Solutions · Bogotá, Colombia
Snowflake · New York, New York
Test Triangle · London, United Kingdom
Design and optimize Snowflake-based data warehouses and ETL pipelines using SQL, Python, and cloud platforms to support analytics and reporting.
18 hours ago Be among the first 25 applicants
Bhuvi IT Solutions has a global implementation team highly experienced in Salesforce development and acting as Cloud Trusted Advisors. We integrate seamlessly with your current Salesforce implementation team. By understanding each client's unique goals, we provide tailored solutions. Our approach includes thorough analysis of workflows and processes, leveraging years of industry best practices to drive success.
Role Description
This is a remote contract role for a Data Engineer in Location:Remote (LATAM)
8+ years of experience in data engineering or architecture roles.
3+ years of hands-on experience with Snowflake, including Snowflake design, configuration, and optimization.
Proficiency in SQL, Python, and Cloud Platforms (AWS, Azure, or GCP).
Strong understanding of data warehousing concepts, data modeling, and metadata management
Design scalable, secure, and high-performance Snowflake solutions to support business analytics and reporting needs.
Lead end-to-end implementation and migration projects involving Snowflake and legacy data systems.
Collaborate with data engineers, analysts, and business stakeholders to gather requirements and define data architectures.
Develop and optimize data models (star, snowflake, and normalized) and physical database designs on Snowflake.
Create efficient ETL/ELT pipelines using tools such as Snowpipe, dbt, Apache Airflow, or other integration frameworks.
Implement data governance, security, access controls, and auditing mechanisms.
Perform workload management, query performance tuning, and cost optimization within Snowflake.
Guide DevOps teams in setting up CI/CD pipelines for Snowflake development.
Provide technical leadership and mentorship to data engineering teams.
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