Position: Data Engineering/ETL/ Informatica/Data Warehouse
Duration: 1 year, with possible short extension
Fully remote
Ideal Candidate Summary
minimum Requirements:
Bachelor’s in technology with 7+ years of data engineering experience.
Design complex ETL requirements and design. Identify, recommend, and implement ETL process and architecture improvements.
Ability to design, test, debug and migrate Informatica code.
Ability to develop test cases based on test matrix including test data preparation for Data Completeness, Data Transformations, Data quality, Performance, and scalability.
Valuable analytical and problem-solving skills.
Must have experience in IICS / Informatica Powercenter etc.
Must have experience working with Snowflake as a data warehouse.
Experience with Data Warehousing skills/concepts.
Proficiency in SQL.
Proficiency in Python and its supporting libraries for data processing.
Experience with building cloud data solutions (AWS is preferred, but familiarity with other cloud environments like Azure or GCP is also acceptable).
Preferred Requirements
Experience building solutions utilizing streaming or event processing (Kafka, Spark Streaming, Pulsar, etc.) is a plus.
Experience with cloud SDKs and programmatic access services.
Working knowledge of agile development, including Dev Ops concepts (IAC, CI/CD, etc.).