What are the responsibilities and job description for the Sr Data Engineer position at YO IT CONSULTING?
Experience: 7 - 25 Years
Location: Glendale, CA – Onsite 3-4 days a week W2
Contract Role Duration 18 months W2
Experience On The Below Skills Mandatory
Headquartered in Los Angeles, this leader in the Entertainment & Media space is focused on delivering world-class stories and experiences to it's global audience. To offer the best entertainment experiences, their technology teams focus on continued innovation and utilization of cutting edge technology.
Platform / Stack
You will work with technologies that include Python, AWS, Snowflake, Databricks, and Airflow.
What You'll Do As a Sr Data Engineer
You could be a great fit if you have:
Location: Glendale, CA – Onsite 3-4 days a week W2
Contract Role Duration 18 months W2
Experience On The Below Skills Mandatory
- Airflow
- Apache Spark
- Snowflake OR Databricks
- Data Modeling
- Candidates should have a depth of experience in PySpark and data bricks
Headquartered in Los Angeles, this leader in the Entertainment & Media space is focused on delivering world-class stories and experiences to it's global audience. To offer the best entertainment experiences, their technology teams focus on continued innovation and utilization of cutting edge technology.
Platform / Stack
You will work with technologies that include Python, AWS, Snowflake, Databricks, and Airflow.
What You'll Do As a Sr Data Engineer
- Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines
- Build and maintain APIs to expose data to downstream applications
- Develop real-time streaming data pipelines
- Tech stack includes Airflow, Spark, Databricks, Delta Lake, and Snowflake
- Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform
- Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more
- Ensure 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 teams)
You could be a great fit if you have:
- 7 years of data engineering experience developing large data pipelines
- Proficiency in at least one major programming language (e.g. Python, Java, Scala)
- Hands-on production environment experience with distributed processing systems such as Spark
- Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
- Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query).
- Experience in developing APIs with GraphQL
- Advance understanding of OLTP vs OLAP environments
- Graph Database experience a plus
- Realtime Event Streaming experience a plus
Salary : $70 - $85
