Duration:12-months contract
40 hours per week
Job Description:
Design and develops complex software that processes, stores and serves data for use by others.
Designs and develops complex and large-scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs.
Writes complex ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing.
Ensures that data pipelines are scalable, repeatable and secure.
Improves data consistency and integrity.
Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
Has knowledge of large-scale search applications and building high-volume data pipelines.
Knowledge of Java, Hadoop, Hive, Cassandra, Pig, Postgres, Snowflake,DOMO, Iceberg.
Key Responsibilities:
• Creating and engineering data pipelines for end-to-end delivery of raw and streamed datasets from cloud platform into data warehouses like Snowflake.
• Data modeling to facilitate efficient use of the data warehouse and high availability of operational reports and dashboards
• Dashboard and report design and creation in tools such as Domo or Tableau, based on business requirements
• Implement and manage production support processes around data lifecycle, data governance, master data management, data quality, coding utilities, storage, reporting and other data integration points.
• Assist and work closely with business stakeholders, platform development teams and data/research scientists by delivering data driven solutions to leverage company data to drive business outcomes, hence driving the growth of the Yum platform and all the brands our platform supports.
• Participate and lead design sessions, demos, and prototype sessions, testing and training workshops with business users and other IT associates
You have:
We prefer experience with:
• Postgres
• Debezium
• Kafka
• Snowflake
• Domo
• JSON data structures
• Agile methodologies
• DevOps technologies (docker, AWS, GitLab)
• Git
• Microservice architecture
• Ecommerce