Deloitte Data Engineer in New York, New York
Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our Project Delivery team.
The Analytics team is responsible for collecting, analyzing, and reporting on customer insights. From this data we generate insights into how customers interact with our products, and use these insights to drive improvements to user-facing features.
Apple is looking for an extraordinary engineer to join the worldwide business development and strategy team. This is an opportunity to join a fast-paced team that plays a key role in the overall success of our organization through technology enablement. You'll play a critical part in driving our technology vision forward and ensuring that we execute across multiple initiatives.
5+ years of prior experience in a Senior Data Engineering role or as a technical lead on Data Engineering projects
Advanced experience working with both relational databases (e.g. Teradata, Vertica, etc.) and Big Data platforms (e.g. Hadoop, etc) required
Advanced hands-on experience with Python, Spark (PySpark, Scala) programming languages
Intermediate understanding of OLAP systems and Data warehousing & Data modelling concepts
Advanced experience working on Big Data, BI or Analytics related projects as a technical lead and individual contributor
Advanced knowledge of SQL/Hive/Trino
Intermediate experience with various performance tuning techniques in Spark/Hive/Teradata
Advanced experienced with job schedulers developing shell scripts, CRON, Airflow jobs to automate data workflows
Experienced in leading a team of data engineers or individually developing technical solutions to business problems
Experienced in leading a team of data engineers or individually working on the implementation of data integration requirements and developing the pipeline of data from raw to curation layers including the cleansing, transformation, derivation and aggregation of data
Ability to communicate effectively (written and spoken).
Ability to work with the multi-location development teams and self-manage individual and others work
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.