Data Engineer
Job Title: Data Engineer
Experience: 10+ yrs.
Type of Work: Remote
Type of Visa: Independent visa
Must-Have
· Snowflake Cloud Data Warehouse
· AWS S3
· SQL (complex queries, stored procedures)
· Data Warehousing and ETL Concepts
· Slowly Changing Dimensions (SCD Types 1, 2, 3)
· SnowSQL and SnowPipe
· Performance Tuning (Query Profiler, Caching, Scaling)
· Data Handling (JSON, ORC, PARQUET, CSV)
· Redshift (Good to Have)
· AWS EC2 and Lambda (Good to Have)
· Python (Good to Have)
Required Skills:
Snowflake cloud data warehouse and AWS S3.
Strong hands-on SQL skills/ Stored procedures / writing complex queries
Good knowledge of Data warehousing and all related concepts. Hands on experience in Data Ingestion from different sources
Candidate must be strong in SQL
Must have 4 years of Relevant experience in working with Snowflake cloud data warehouse and exposure to AWS S3.
Implementing SCD Techniques like slowly changing dimensions (type1, type2 and type3).
Experience in working with AWS S3 and Snowflake cloud data warehouse.
Good exposure in Snowflake Cloud Architecture and SnowSQL and SNOWPIPE for continuous data ingestion.
Handling large and complex data sets like JSON, ORC, PARQUET, CSV files from various sources like AWS S3.
Hands-on experience in bulk loading and unloading data into Snowflake tables.
Experience in writing complex SQL scripts using Statistical Aggregate functions and Analytical functions to support ETL in snowflake cloud data warehouse.
Experience with performance tuning of SnowFlake data warehouse with Query Profiler, Caching and Virtual data warehouse scaling
Knowledge on redshift (Good to have)
Knowledge on AWS EC2, lambda
Good to have python
Job Type: Contract
Pay: From $50.00 per hour
Benefits:
401(k)
Dental insurance
Health insurance
Application Question(s):
May I know your current visa status?
Experience:
Data Engineer: 10 years (Preferred)
Snowflake Cloud: 6 years (Preferred)
Data warehouse: 6 years (Preferred)
• Performance Tuning (Query Profiler, Caching, Scaling): 1 year (Preferred)
Work Location: Remote