Title: Data Engineer Location: Bogota, CO Duration: Full Time 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. Complexity & Problem Solving: - Learns routine assignments of limited scope and complexity. - Follows practices and procedures to solve standard or routine problems. Autonomy & Supervision: - Receives general instructions on routine work and detailed guidance from more senior members on all new tasks. - Work is typically reviewed in detail at frequent intervals for accuracy. Communication & Influence: - Builds stable internal working relationships. - Communicates and seeks guidance/feedback regularly from more senior members of the team. - Primarily interacts with supervisors, project leads, mentors, or other professionals in the same discipline. - Explains facts, policies, and practices related to discipline. 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: • A bachelor's degree or equivalent in Computer Science / Information Systems or a related field • + years hands-on coding SQL, PLSQL, working with databases like Postgres, Mongo, Couchbase • + years of experience with tools like Domo or Tableau • + years' experience with Kafka, Snowflake/SnowPipe, hands-on coding skills in languages like Golang, JavaScript, Python, Docker / shell scripting and hands on experience with Debezium or equivalent CDC tooling • + years' experience working on a and modeling within a massively parallel processing database (MPP) such as Snowflake • A collaborative attitude We prefer experience with: • Postgres • Debezium • Kafka • Snowflake • Domo • JSON data structures • Agile methodologies • DevOps technologies (docker, AWS, GitLab) • Git • Microservice architecture • Ecommerce