8 - 10 years
8 - 18 Lacs
Posted:4 hours ago|
Platform:
Hybrid
Full Time
Role Overview:
We are looking for a skilled Data Engineer with hands-on expertise in Snowflake, Python, and AWS
services to support end-to-end data migration and warehousing solutions. The ideal candidate will
design, develop, and maintain scalable Snowflake data structures, implement efficient ETL pipelines
using Python and AWS (S3, Lambda, Step Functions), and collaborate with cross-functional teams to
deliver high-performance data solutions. Proficiency in Power BI for dashboarding and data
visualization is essential. Experience in healthcare data is a plus.
Key Responsibilities:
• Design, develop, test, deploy, and maintain Snowflake tables/views/stored
procedures/streams/tasks using SnowSQL.
• Develop ETL processes using Python and AWS services such as S3, Lambda, Step
Functions to migrate data from various sources into Snowflake.
• SQL Expertise: Writing optimized queries for data extraction from Snowflake.
Experience in data modeling: Star schema, snowflake schema, and dimensional
modeling.
• Collaborate with cross-functional teams to gather requirements and design solutions
for complex data warehousing projects.
• Troubleshoot issues related to SnowPipe performance optimization and implement
improvements.
• Ensure high availability of the system by implementing redundancy measures.
• Proficiency in Power BI: Dashboard creation, data visualization, DAX, Power Query
and SQL (T-SQL, Stored Procedures).
Job Requirements:
• Strong understanding of Data Migration concepts including ETL process development using
Python & AWS Services like S3, Lambda, Step Functions.
HealthCare experience is an additional advantage.
• Strong proficiency in ReactJS, NodeJS, NextJS, and VueJS.
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