Data Engineer

  • Santa Monica, CA
  • Posted 5 days ago | Updated 5 days ago

Overview

On Site
Depends on Experience
Full Time

Skills

SQL
Snowflake
RDBMS
Spark
Python
Databricks
Airflow
AWS
S3

Job Details

Hello,

i am actively hiring on the below role.

Job Description
What You'll Do
Contribute to the design and growth of our Data Products and Data Warehouses around Acquisition marketing spend and Acquisition campaign Performance data.
Develop and optimize performant database, data model, integration and ETL in RDBMS and Big Data environments
Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions
Help define technical requirements and implementation details for the underlying data warehouse and data marts
Help integrate and maintain campaign marketing data coming from marketing vendor platforms via an integration tool.
Maintain detailed documentation of your work and changes to support data quality and data governance
Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to the customers
Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team

Basic Qualifications
Over 6 years of experience in Data Engineering, with a strong foundation in designing and implementing scalable data solutions.
Proficient in data modeling, architecture, and building robust ETL pipelines to support analytical and operational use cases.
Hands-on expertise with SQL, Snowflake, RDBMS, Spark, Python, Databricks, and Airflow for data processing and orchestration.
Experienced in AWS services including S3 and supporting reporting and downstream data workflows.
Familiarity with Marketing Intelligence tools like Datorama/Improvado/FiveTran for integrating, harmonizing, and visualizing marketing data across platforms.
Experience with Scrum and Agile methodologies
Bachelor s or master s degree in computer science, Information Systems or related field
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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