Data Architect designing end - to - end Snowflake data solutions and collaborating with technical stakeholders at Emerson. Supporting the realization of Data and Digitalization Strategy.
About the role
- Data Engineer managing data solutions and architecture for the organization, translating business needs into technical data models while leading ETL processes and data movement strategies.
Responsibilities
- Understand and translate business needs into data models supporting long-term solutions.
- Perform reverse engineering of physical data models from databases and SQL scripts.
- Analyze data-related system integration challenges and propose appropriate solutions.
- Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other data-related considerations to ensure business value)
Requirements
- 5+ Years of experience as a Data Engineer
- Strong technical expertise in SQL Advanced SQL querying skills (joins, subqueries, CTEs, aggregation)
- Strong knowledge of joins and common table expressions (CTEs)
- Strong experience with Python
- Experience in Snowflake, ETL, SQL, CI/CD
- Strong expertise in ETL process and with various data model concepts
- Knowledge of star schema and snowflake schema
- Good to know about AWS services such as S3, Athena, Glue, EMR/Spark with a major emphasis on S3 and Glue
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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