Coral Gables, Miami, United States
Kipu is looking for an experienced ETL Developer with Python expertise to join our B.I. & Data Analytics team. You’ll be joining a dynamic, exceptional team to make huge impacts in a fun, exciting company with significant growth potential. Successful applicants for this position will be working on a wide variety of projects including ETL tasks, data quality analysis, data modeling, monitoring, and automation.
Maintain and improve our ETL processes, primarily written using python, and using cloud services on AWS like Lambda functions, Glue, Database Migration Services, or pure python code that runs from Linux servers.
Acquiring clinical and financial data from primary or secondary data sources and maintaining Enterprise Data Warehouse, Data Marts, and Data Lakes (AWS S3).
Explore, identify, analyze complex data sets, and infer relationships among data entities in the absence of explicit documentation.
Collaborate closely with core developers to understand the structure of the modes/tables, data behind the main applications created in-house.
Work with stakeholders to understand their data requirements and help them make data-related decisions using your ETL knowledge and experience.
Proven working experience as a Python Developer, Data Engineer, Database Developer, or Data Warehouse implementation.
In depth Python experience building ETL pipelines (Python with data manipulation packages, ETL/ELT frameworks).
Adept at queries, dashboard design, and presenting findings.
Proficient with database systems, such as SQL Server, and Postgres, hosted in multiple cloud solutions like AWS, Heroku, Azure, or on-premises.
Experience with data visualization solutions (Power BI, Tableau, or QuickSight), databases (Postgres, AWS Redshift, SQL Server), and Excel.
Knowledge of AWS services: S3, Lambda, Kinesis Firehose, Kinesis Streams.
Source: Python.org Jobs Feed