Responsible for developing, testing and implementing data engineering solutions to generate analytical and reporting solutions
Job Summary
Responsible for developing, testing and implementing data engineering solutions to generate analytical and reporting solutions.
Design and build automations and incorporate low code-no code solutions to accelerate development cycle time.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities.
Matching Summary
Responsible for developing, testing and implementing data engineering solutions to generate analytical and reporting solutions.
Skills & Requirements
Must-have
AWS Redshift, Glue, RDS, S3
Python programming language
SQL scripts for Oracle, MySQL, PostgreSQL
Data warehousing and Big Data experience
ETL tools like Matillion or Informatica
Handling OLTP and OLAP data models
Nice-to-have
Low code, No code tools like Microsoft/Github co-pilot
Enterprise ERP and CRM data exposure
Finance and accounting data domains
Industrial applications in commercial/finance/manufacturing settings
Key Requirements
Minimum 5+ years of hands on experience
Bachelor's Degree in computer science or equivalent