Evaluate, implement, and deploy emerging data engineering technologies, processes, and practices.
Makes pipeline architecture decisions based on standardized patterns and technologies
Lead the design and implementation of scalable data pipelines, data modelling and data quality frameworks.
Independently troubleshoot technical and performances issues and research root cause analysis in the cloud data ecosystem
Actively contributes work to the broader GMI data community and collaborates with others to refine common libraries
Mentor and guide data engineers, fostering innovation, technical excellence, and strong engineering practices within the team.
Assist in hiring & onboarding
MINIMUM QUALIFICATIONS
Education: Bachelor’s degree or equivalent practical experience in a relevant field.
12+ years of experience in data engineering, data architecture, or related technology roles.
Strong experience with modern cloud platforms, preferably Google Cloud.
Hands-on experience in ETL processes, data warehousing, data quality, data observability, and structured and unstructured data systems.
Ability to work directly with business partners to design solutions and explain architecture trade-offs clearly.
Strong technical skills in SQL, Python, BigQuery, Composer, Dataflow, and dbt.
Experience in Data Modelling, Data Observability, Orchestration, and Prompt Engineering.
Familiarity with software engineering tools and delivery practices such as Git, GitHub Actions, Jira or Azure DevOps, and Agile ways of working.
Strong problem-solving and analytical skills with attention to detail.
Effective verbal and written communication skills, including the ability to explain technical concepts to non-technical stakeholders.
Collaborative, adaptable, self-driven, and able to take ownership from project initiation through completion.
PREFERRED QUALIFICATIONS
Strong hands-on coding skills in Python and SQL.
Experience developing procedures and scripts for data loading, transformation, and migration.
Familiarity with Kafka and distributed computing tools.
Broader experience with cloud technologies, with Google Cloud preferred.
Strong awareness of AI and its application in data engineering.
Applicants must meet minimum age qualifications in the country in which the job is located.
