Design of data solutions on Databricks including delta lake, data warehouse, data marts and other data solutions to support the analytics needs of the organization.
Apply best practices during design in data modeling (logical, physical) and ETL pipelines (streaming and batch) using cloud-based services especially Python & Pyspark
Design, develop and manage the pipelining (collection, storage, access), data engineering (data quality, ETL, Data Modelling) and understanding (documentation, exploration) of the data.
Interact with stakeholders regarding data landscape understanding, conducting discovery exercises, developing proof of concepts, and demonstrating it to stakeholders.
Experience to work on Collibira for DQ and data governance is plus
Knowledge on dbt to model and build out layers in dbx is plus
AWS experience on s3,redshift,glue etc is also required
Numbers & Facts
Location
West Point, PA
Industry
Other/Not Classified
Company Size
100 to 499 employees
Skills
AWS Lambdaunmatched
Amazon Web Services (AWS)unmatched
Best Practicesunmatched
Cisco Unityunmatched
Cloud Computingunmatched
Data Martunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
Documentationunmatched
Proof of Conceptunmatched
Python Programming/Scripting Languageunmatched
SQL (Structured Query Language)unmatched
Sales Pipelineunmatched
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