Data Engineer

Required Skills & Qualifications:

• Previous experience as a data engineer
• Technical expertise with data modeling techniques (Data Vault)
• Advanced expertise with ETL tools (Talend, Alteryx etc.)
• Advanced SQL programming experience, Python is a plus
• Previous experience with agile methodologies in Software Development
• Previous experience working with Data Transformation Tools like DBT
• Previous experience with DevOps, DataOps practices (CI/CD, GitLab, DataOps.live)
• Hand-on experience with Snowflake, certification is a plus
• Experience with the lifecycle management of data products
• Knowledge of Data Mesh and FAIR principles
• At least 2-3 years of DB/ETL development experience - Talend and DBT

Responsibilities:

• Apply data engineering practices and standards to develop robust and maintainable data pipelines
• Analyze and organize raw data ingestion pipelines
• Evaluate business needs and objectives
• Support senior business stakeholders in defining new data product use cases and their value
• Take ownership of data product pipelines and their maintenance
• Explore ways to enhance data quality and reliability, be the "Quality Gatekeeper" for developed Data Products
• Adapt and apply best practices from the Data One community
• Be constantly on the lookout for ways to improve best practices and efficiencies and make concrete proposals
• Take leadership and collaborate with other teams proactively to keep things moving