Data Management professional at Kyndryl involved in creating innovative data solutions and ensuring the seamless operation of complex data systems. Collaborating with teams to transform requirements into scalable database solutions.
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.
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