Full Job Description
We currently have a contract opportunity for Data Engineer contractor to lend specific subject matter knowledge to a client engagement.
Job location is commutable to either: Seattle WA, New York City or Burbank CA.
Build scalable analytics solution, including data processing, storage, and serving large-scale data through batch and stream, analytics for both behavioral & ad revenue through digital & non-digital channels.
Lead the transformation of a peta-byte scale batch-based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Spark and database technologies such as Snowflake.
Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams
6+ years of experience developing data pipelines using mix of languages (Python, Scala, SQL etc.) and open source frameworks to implement data ingest, processing, and analytics technologies.
Experience leveraging open source big data processing frameworks, such as Apache Spark, Hadoop and streaming technologies such as Kafka.
Hands on experience with newer technologies relevant to the data space such as Spark, Airflow, Apache Druid, Snowflake (or any other OLAP databases).
Proven strength in SQL, data modeling, and data warehousing.
Equal Employment Opportunity Information
Ernst & Young LLP, is strongly committed to equal opportunity and values the diversity of our work force and the knowledge of our people.
Ernst & Young LLP provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or any other legally protected basis, in accordance with applicable law.
Ernst & Young LLP is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and either need assistance applying online or need to request an accommodation during the interview process, please notify us.