Lead Data Engineer
7 dni temu
Key Responsibilities
- Lead and mentor a team of data engineers while staying hands-on with data pipelines, architecture, and system optimization
- Design and implement scalable data architecture
- Build ETL data pipelines using Airflow, SnowFlake, DBT
- Define and enforce data partitioning, retention, governance, and security best practices
- Collaborate with stakeholders to align data practices with business goals and foster a data-driven culture
- Proactively drive innovation in data engineering practices and system architecture
- Translate business needs into technical specifications and document data architecture and pipelines
Required Skills and Experience
- 7+ years in data engineering, including 2+ years in a leadership or architect role
- Proficiency in Airflow, SnowFlake, DBT
- Advanced proficiency in Python, Spark, SQL, and cloud services (AWS)
- Experience designing and deploying large-scale Data Warehouses
- Strong data modeling experience
- Experience working with third-party APIs and external data sources
- Ability to optimize system performance, ETL workflows, and data storage solutions
- Strong communicator, capable of bridging technical and non-technical teams
Preferred Skills
- Familiarity with ad tech ecosystems (DSPs, ad servers, etc)
- Exposure to Apache Druid, AWS Glue, PySpark (our current data stack, to be replaced)
- Knowledge of design patterns and best practices for data architectures
- Experience defining data governance
- Familiarity with CI/CD tools
Education & Language
- Master's degree in Computer Science, Data Science, or related field
- Excellent communication skills, both written and verbal
Our Offer
- B2B via Experis
- 100% remote
- MultiSport Plus
- Group insurance
- Medicover Premium
- e-learning platform
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