Data Engineer with Databricks, Spark, and Python

Job Title: Data Engineer with Databricks, Spark, and Python

Location: Glendale, CA (Hybrid)

Duration: Full Time

Must haves: Databricks, Spark, and Python

Key Responsibilities

:Data Engineer at The Walt Disney Studios, you will play a pivotal role in the transformation of data into actionable insights. Collaborate with our dynamic team of technologists to develop cutting-edge data solutions that drive innovation and fuel business growth. Your responsibilities will include managing complex data structures and delivering scalable and efficient data solutions. Your expertise in data engineering will be crucial in optimizing our data-driven decision-making processes. If you're passionate about leveraging data to make a tangible impact, we welcome you to join us in shaping the future of our organization

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Key Responsibilitie

• s:Contribute to maintaining, updating, and expanding existing Core Data platform data pipelin
• esBuild tools and services to support data discovery, lineage, governance, and priva
• cyCollaborate with other software/data engineers and cross-functional tea
• msTech stack includes Airflow, Spark, Databricks, Delta Lake, Kubernetes and A
• WSCollaborate with product managers, architects, and other engineers to drive the success of the Core Data platfo
• rmContribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and mo
• reEnsure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics team
• s)Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our te
• amEngage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvemen
• tsMaintain detailed documentation of your work and changes to support data quality and data governance requiremen

ts
Qualificatio

ns:● 3+ years of data engineering experience developing large data pipeli

nes● Proficiency in at least one major programming language (e.g. Python,Java, Sca

la)● Strong SQL skills and ability to create queries to analyze complex datas

ets● Hands-on production environment experience with distributed processing systems such as Sp

ark● Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipeli

nesExperience with Databri

• cksExperience with Snowflake a p
• lusDeep Understanding of AWS or other cloud providers as well as infrastructure as code Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practi
• cesStrong algorithmic problem-solving expert
• iseExcellent written and verbal communicat
• ionAdvance understanding of OLTP vs OLAP environme
• ntsWillingness and ability to learn and pick up new skill s
• etsSelf-starting problem solver with an eye for detail and excellent analytical and communication ski
• llsStrong background in at least one of the following: distributed data processing or software engineering of data services, or data model
• ingFamiliar with Scrum and Agile methodolog
• iesBachelor’s Degree in Computer Science, Information Systems equivalent industry experie

nce
Tha

nks,Vamshi Thangadp

alliTechnical Recru

iterEm ail: View email address on click.appcast.io m | W eb:

251/100 Overlook Center, Suite

200Princeton, NJ 08