Principal Engineer creating engineering solutions within Design & Engineering teams at Arcadis, focusing on renewable energy and sustainable practices.
About the role
- Principal Software Engineer developing high performance data platforms for ESPN+. Collaborating with teams to build and maintain scalable systems in Disney's media business.
Responsibilities
- Work with a distributed team of engineers across multiple products building software collaboratively
- Work cross-team to build consensus on approach for delivering projects
- Collaborate with business partners to understand and refine requirements
- Eliminate ambiguity in projects and communicate direction to engineers to help team members work in parallel
- Ramp up quickly on existing software to deliver incremental, integrated solutions in a complex environment
- Build high-performance, stable, scalable systems to be deployed in an enterprise setting
- Lead high-level architecture discussions and planning sessions
- Participate in the code review process by assessing pull requests
- Support systems and services during production incidents as part of the on-call rotation
- Author and recommend technical proposals and root cause analyses
- Provide mentoring and advice for other specialists
- Establish engineering practices and standards within the team to drive quality and excellence
Requirements
- Expert in Python and SQL skills processing big datasets
- A strong grasp of computer science fundamentals (data structures, algorithms, databases, etc.)
- Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query, Databricks)
- You are a problem solver with strong attention to detail and excellent analytical and communication skills
- In-depth experience with Cloud technologies like AWS (S3, ECS, EMR, EC2, Lambda, etc.)
- Experience using source control systems and CI/CD pipeline
- Expert in Data Modeling techniques and Data Warehousing standard methodologies and practices
- Solid experience with data integration toolsets (i.e Airflow), CI/CD
- Minimum of 10 years of related big data engineering experience modeling and developing large data pipelines and platforms
- Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package
- Full range of medical, financial, and/or other benefits
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