Data Migration Specialist handling large - scale data migration from legacy to enterprise PLM platform. Analyzing data structures, developing strategies, and ensuring integrity across systems.
About the role
- Senior Data Engineer responsible for developing data products for Disney's immersive digital experiences. Collaborating with teams to ensure data quality and operational efficiency in a fast-paced environment.
Responsibilities
- Contribute to the design and growth of our Data Products and Data Warehouses around Content Performance and Content Engagement data.
- Design and develop scalable data warehousing solutions, build ELT pipelines in Big Data environments (cloud, on-premise, hybrid)
- Use our tech stack including AWS, Snowflake, Data Build Tool (DBT) and Automic UC4/Airflow to transform, store, retrieve, and distribute Financial Management data.
- Help architect data solutions/frameworks and use dimensional modeling to define data assets in a medallion structure
- Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions
- Maintain detailed documentation of your work and changes to support data quality and data governance
- Ensure high operational efficiency and quality of your solutions to meet SLAs and support a dedicated focus on our customers (Data Science, Data Analytics and Business teams)
- Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team.
Requirements
- 5+ years of data engineering experience, developing large data pipelines
- Strong SQL skills writing queries to extract data and build performant datasets
- Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
- Hands-on experience with AWS tool stack such as Lambda, Kinesis, DMS, AppFlow, EventBridge to ingest process data
- Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query)
- Expert level experience with SQL/T-SQL and ability to create and tune queries
- Agile and Scrum experience
- Strong attention to detail with excellent analytical, problem-solving, and communication skills
- Solid experience with data integration toolsets (Airflow) and writing and maintaining Data Pipelines
- Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices.
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, dependent on the level and position offered.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Director leading strategy, governance, and delivery of enterprise data platform at Phillips 66. Partnering with AI, Data Science, and business teams to enhance analytics and business systems.
Product Owner driving ERP data migration initiatives for BioNTech’s global landscape. Leading effective data management and ensuring compliance with regulatory standards in a fast - paced environment.
Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
Lead Data Engineer overseeing data operations and analytics engineering teams for OneOncology. Focused on operational excellence in data platform and model reliability for cancer care improvement.
Senior AWS Software Data Engineer at Boeing focusing on AWS Data services to support digital analytics capabilities. Collaborating with cross - functional teams to design, develop, and maintain software data solutions.
Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.
Senior AI & Data Engineer developing and implementing AI solutions in collaboration with clients and teams. Working on projects involving generative AI, predictive analytics, and data mastery.
Consultant driving IA business growth in Deloitte's Artificial Intelligence & Data team. Delivering innovative solutions using data analytics and automation technologies.
Data Engineer responsible for managing data architecture and pipelines at Snappi, a neobank. Collaborating with teams to enable data processing and analysis in innovative banking solutions.