Looking for a senior snowflake engineer!
W2 only position
Location: Coppell, TX Hybrid (3 days a week onsite)
Total position: 1
Relocation assistance: No
Visa sponsorship eligibility: No
This role is Contract to Hire.
Candidates with Financial Services Industry experience will be preferred over others!

Must have:

• Minimum 8 years of experience in Data Management and specialized in Analytical data warehouse.
• Minimum 3 years hands on experience with Snowflake cloud warehouse and its features.
• Good knowledge on cloud AWS architecture and its services.
• Experience in creating and analyzing SQL and PL/SQL procedures for data integration.
• Developing ETL pipelines in and out of data warehouse using combination of Python and Snowflake SQL. Developing scripts using Unix shell to do Extract and Load data.
• Good understanding of logical and physical data models to support analytics and business intelligence.
• Experience in creating SQL based processes to build slowly changing dimension and various type of facts.
• Experience in Data Lineage Analysis, Data Profiling Mapping Integration, ETL Validation Cleansing Masking Sub setting,
• Profiling Archiving, Purging Virtualization, Metadata Management, Performing Unit Test, System integration test Support, UAT.
• Involve SQL performance tuning, Root causing failures and bifurcating them into different technical issues and resolving them.
• Engaged in project using Agile methodology and documentation using Jira
• Strong verbal and written communication skills.

Job Type: Full-time

Pay: Up to $65.00 per hour

Expected hours: 40 per week

Benefits:

• Dental insurance
• Health insurance
• Vision insurance

Experience level:

• 10 years
• 11 years
• 8 years
• 9 years

Schedule:

• Day shift

Application Question(s):

• Required: Are you open to a W2 position?
• Do you have a minimum 8 years of experience in Data Management and specialized in Analytical data warehouse?
• Do you have a minimum 3 years hands on experience with Snowflake cloud warehouse and its features?
• Can you explain the process of loading data into Snowflake using an ETL pipeline developed with Python and Snowflake SQL?

Work Location: On the road