Senior Data Engineer
Jeannetteonsitesenior
Posted 6 days ago · via Workday
About this role
Overview & Responsibilities The Data Engineer will build robust and complicated data pipelines required for moving data from various source systems into the Enterprise Data Lakehouse. The Data Engineer will be responsible for architecting, troubleshooting and designing complex workflows and transformations. BACKGROUND and EXPERIENCE Bachelor's in Computer Science, Information Systems, Data Science, Analytics. Minimum 10 years hands on experience as an ETL engineer. 3+ years experience on Databricks is required. Well versed with using various database systems like Oracle, SQL Server etc. Experience in the cloud preferably AWS, SQL, Data modeling, Informatica, Fivetran or Azure Data Factory. Deep understanding of extracting data from ODBC sources along with usage of APIs.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, databricks, aws, azure…
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Jeannette. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqldatabricksawsazurefivetran