Data engineer

• Designs and builds performant data pipelines to support a range of business consumption patterns using a range of current data integration technologies (cloud, on-premise, or a combination) or custom approaches using Python, Java, Scala, etc.
• Assists in adopting best practices in reporting and analysis including data integrity, test design, validation, and data quality and analysis
• The assigned resources will perform the following activities at the direction of WM.
• Design, build, test, and implement data pipelines and integration with WM Snowflake Cloud Data
• Warehouse per best practices and WM IT policies and procedures.
• Support WM end user testing
• Support data validation, data quality and analysis activities as requested by WM

Qualifications:

• Offshore data engineer experienced with data replication using Qlik. (Should also have a Snowflake, Oracle, SQL, dbt skills)
• Exp- 5+ yrs

Skill:

• Experienced with data replication using Qlik. (Should also have a Snowflake, Oracle, SQL, dbt skills)
• Experienced with 2-3 years in implementing and operationalizing large scale data solutions in production environments using a variety of technologies and frameworks in the cloud or on-premise