Manage multiple projects simultaneously, meet deadlines, and work collaboratively with cross-functional teams.
Adapt and thrive in dynamic and rapidly changing work environments, demonstrating resilience and flexibility in the face of complexity.
Accepts and embraces ambiguity and leverages to take calculated risks, test, iterate and pivot on ideas.
Self-starter with a demonstrated ability to achieve results as part of an effective team, effectively prioritize and multi-task under deadlines.
Experience with Data engineering and system migrations with proven ability to build new capabilities, drive organizational impact and act as change agent.
Experience in Building Data Lake, Data warehouse and Query Optimization.
Strong experience in any of the leading ETL tool (Talend is preferred).
Experience in Microservice, container, API Gateway, Message Broker/Streaming and event driven architecture.
Experience in Hadoop, Impala, Hive and Oracle is preferred.
Experience in CI/CD and DevSecOps with overall understanding of secure coding practice.
Applied understanding of SOLID principle and the twelve factor App.
Additional Qualifications: Good understanding of technology landscape and related technical disciplines (e.g., AWS cloud computing, Pivotal cloud, Snowflake, Power BI, data science, data analytics, ML, BI, etc.)