Data Platform Engineer

4 weeks ago


Panama City, Florida, United States Cinarra Full time

Company Description

FOLLOW THE CUSTOMER JOURNEY
Cinarra leverages deterministic Carrier data to provide advanced targeting, analytics and custom personas to drive revenue and results for Brands and Carriers.
PROVEN COMMERCIAL SUCCESS
Live with Softbank Corp, a leading carrier in Japan, we process billions of 4G/LTE and Wi-Fi location updates daily for 35 million people and across 500,000 venues.
Cinarra is wholly owned by SoftBank.

Job Description

The person in the Data Platform Engineer role will play a pivotal part in enhancing and refining our data infrastructure, focusing on the Unified Data Platform. This involves collaborating on the development and fine-tuning of our data systems to boost data quality, accessibility, and reliability. More specifically, this person will be responsible for:

  • Working closely with DSP (Demand-Side Platform), ML, and DMP (Data Management Platform) teams to integrate and curate data effectively into our Data Lake.
  • Collaborating across teams to build and improve data tools, ensuring our data architecture supports real-time insights and analytics.
  • Owning data quality and reliability, ensuring service level agreements (SLAs) are met.
  • Contributing to code reviews, architectural discussions, and the continuous improvement of our Data Platform.
  • Mentoring junior team members and contributing to best engineering practices.

Qualifications

Minimum Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in data engineering, with a focus on data quality and infrastructure.
  • Proficiency in a range of data engineering technologies (e.g., Python, SQL, Data Lake, Warehouse, Kafka, AWS, Airflow).
  • Strong problem-solving skills and the ability to work collaboratively.

Preferred Qualifications:

  • Proficiency in developing and optimizing data pipelines, with a strong understanding of both batch processing and real-time streaming technologies.
  • Familiarity with AWS services and DevOps practices, including CI/CD and automation.
  • Knowledge of data ingestion, software engineering, and security best practices.
  • Familiarity with Apache Iceberg or similar table formats and data management technologies is a plus.
  • Exposure to data analytics or machine learning projects.

Additional Information

All your information will be kept confidential according to EEO guidelines.



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