Data Engineer
Role details
Job location
Tech stack
Job description
We're in search of a candidate who knows about and loves working with modern data integration frameworks, big data and cloud technologies. Candidates must also be proficient with data programming languages (e.g., Python and SQL). The Yum! data engineer will build a variety of data pipelines and models to support advanced analytics projects - with the intent of elevating the customer experience and driving revenue and profit growth in our restaurants globally., Play a key role in our advanced analytics team - developing data-driven solutions, and responsible for driving Growth.
Design and develop scalable streaming data integration frameworks to move and transform a variety of data sets.
Develop on the data platform by building applications using a mix of best in breed SaaS tools (Informatica Cloud, Snowflake, Domo, etc.) & open-source frameworks (Py-Spark, Kubernetes, Airflow, etc.)
Implement and manage production support processes around data lifecycle, data quality, coding utilities, storage, reporting and other data integration points.
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.
Good 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 Google Cloud Platform 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 DevOps concepts (IAC, CI/CD, etc.).