INSPYR Solutions
Title: Senior Data Engineer
Industry: Entertainment
Location: Glendale, CA
Duration: + months
Rate Range: $-
Work Requirements: US Citizen, GC Holders or Authorized to Work in the
Description:
As a Senior Data Engineer, 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.
Key Responsibilities:
Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines
Build tools and services to support data discovery, lineage, governance, and privacy
Collaborate with other software / data engineers and cross‑functional teams
Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Kubernetes and AWS
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)
Be an active participant and advocate of agile / scrum ceremonies to collaborate and improve processes for our team
Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements
Maintain detailed documentation of your work and changes to support data quality and data governance requirements
Basic Qualifications:
Years of data engineering experience developing large data pipelines
Proficiency in at least one major programming language (Python, Java, Scala)
Strong SQL skills and ability to create queries to analyze complex datasets
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
Deep understanding of AWS or other cloud providers as well as infrastructure as code
Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
Strong algorithmic problem‑solving expertise
Advanced understanding of OLTP vs OLAP environments
Strong background in at least one of the following: distributed data processing or software engineering of data services, or data modeling
Familiar with Scrum and Agile methodologies
Required Education:
BA / BS Degree Comp Sci / IS or related field
Our benefits package includes:
Comprehensive medical benefits
Competitive pay
(k) retirement plan
much more!
#J-18808-Ljbffr
As a Senior Data Engineer, 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.
Key Responsibilities:
Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines
Build tools and services to support data discovery, lineage, governance, and privacy
Collaborate with other software / data engineers and cross‑functional teams
Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Kubernetes and AWS
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)
Be an active participant and advocate of agile / scrum ceremonies to collaborate and improve processes for our team
Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements
Maintain detailed documentation of your work and changes to support data quality and data governance requirements
Basic Qualifications:
Years of data engineering experience developing large data pipelines
Proficiency in at least one major programming language (Python, Java, Scala)
Strong SQL skills and ability to create queries to analyze complex datasets
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
Deep understanding of AWS or other cloud providers as well as infrastructure as code
Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
Strong algorithmic problem‑solving expertise
Advanced understanding of OLTP vs OLAP environments
Strong background in at least one of the following: distributed data processing or software engineering of data services, or data modeling
Familiar with Scrum and Agile methodologies
Required Education:
BA / BS Degree Comp Sci / IS or related field
Our benefits package includes:
Comprehensive medical benefits
Competitive pay
(k) retirement plan
much more!
#J-18808-Ljbffr