Chief Data Engineer leading Scania’s Commercial Data Engineering team for growing sustainable transport solutions. Focused on data products and pipelines for BI, analytics, and AI.
About the role
- Sr. Analyst, Data Engineering role at The Walt Disney Company. Architecting and optimizing Snowflake data solutions for HR analytics and reporting.
Responsibilities
- Design, develop, and maintain robust Snowflake objects, including tables, views, stored procedures, and user-defined functions, to enable efficient reporting and analytics.
- Build and automate scalable data pipelines to cleanse, integrate, and transform data from diverse sources.
- Leverage SQL, Python, and other programming languages to prepare complex datasets for visualization and reporting tools.
- Apply advanced data warehouse modeling principles to optimize data extraction, transformation, and loading processes.
- Translate business requirements into technical specifications for data modeling and report building.
- Identify and implement opportunities to enhance query performance, data load efficiency, and overall system optimization within Snowflake.
- Work closely with stakeholders to gather data and reporting requirements, ensuring deep understanding of business needs and outcomes.
- Collaborate with report engineers, business analysts, and data scientists to deliver impactful data solutions.
- Create and maintain thorough documentation for data specifications, models, design decisions, and key reporting use cases.
- Train and support end users to facilitate adoption and successful utilization of data-driven tools and solutions.
Requirements
- 5+ years of proven experience in data management, data engineering, business intelligence, or a related field.
- Advanced proficiency in SQL and Python, and hands-on experience working with Snowflake or similar cloud data warehouse platforms.
- Experience designing and developing ETL/ELT processes using tools such as Informatica, Snowflake, or Python, and familiarity with agile development tools (Jira, Confluence, Git).
- Strong critical thinking, analytical, and problem-solving abilities with meticulous attention to detail.
- Excellent collaboration and communication skills; able to work effectively with cross-functional teams.
- Ability to thrive in a fast-paced environment while managing multiple priorities.
- High degree of professionalism, including handling and maintaining confidential information.
- Familiarity with artificial intelligence or machine learning concepts.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Information Systems, or a related field, or 7+ years of relevant work experience.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
- Bonus and/or long-term incentive units may be provided as part of the compensation package
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