Introduction
At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.

#LI-hybrid

Your Role and Responsibilities

• Implementing and validating data pipelines on Snowflake cloud environment using Python and handling multiple kind of dataframes (Snowflake, Pandas, Spark).
• Receiveing and writing data using SQL querys from multipe databases (Snowflake, Oracle, Redshift) using multiple sql dialects (SnowSQL, OracleSQL, PostgreSQL).
• Working with data file inputs and outputs (excel, json, ini …), being able to create python functions based on an expected outcome.

Required Technical and Professional Expertise

• Understanding database schemas like Snowflake schema and STAR schema, and being able to create ETL-s between them, using SQL stored procedures, python, Innformatica PowerCenter.
• Being able to receive/ write data into a AWS cloud environment in Redshift/ S3 bucket.
• Working in an Agile collaborative environment, partnering with other data engineers, and business intelligence experts from client side.

Preferred Technical and Professional Expertise
n/a