Snowflake Developer

Job Title

Sr. Data Engineer

Worksite Address

2870 Ne Town Center Dr,Beaverton,OR,USA,97006-8950

Top Skills Details

Need a senior data engineer with a solid data background that includes enterprise data warehouse experience along with data modeling, ETL and Data Factory. Their big need in this role is Data Factory. That is the key to this req.

Description

Support the Enterprise by performing data management, programming, analytic and consultative activities including database,
documentation and data trending assessment. Design, develop, and update data integration, profiling, and cleansing routines.
Ensure all relevant metadata is captured and/or updated. Provide related modeling, mapping, and process assistance

Design, develop, test, and update data integration (ETL, replication, and change data capture), data profiling, and data profiling
processes. Update and maintain metadata repositories and dictionaries.
Responsible for creating, validating, and/or updating source-to-target maps. Help perform source analysis and supports
departmental process improvement initiatives.
Assist with logical and physical model design, source-to-target mapping, use cases, and other development processes and
artifacts.
Identify data subject areas, entities, attributes, relationships, information types, and domains. With project team, design and
communicate logical and/or physical models and designs.
Responsible for supporting identification of physical implementation requirements, including normalization techniques and
referential integrity or dimensional techniques.
Assist with defining, maintaining, and enforcing data architecture, definitions, and standards. Participate in data policy, standards,
and procedure development processes.
Perform code reviews, data model reviews, and testing. Establish standards and best practices. Work with IT partners to perform
periodic system and database operational tests, audits, and tuning.
Responsible for promoting understanding of data quality concepts and methods. Identify, document, and recommend solutions
for poor quality data

Workplace Type

Hybrid

Thanks

Abhinov Dara

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