[Hiring] Big Data Engineer @Placer.ai

Role Description

As a Senior Big Data Engineer, working within Placer.ai's Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.

Responsibilities

• Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
• Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
• Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
• Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS) to design and manage scalable data infrastructure.
• Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
• Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
• Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
• Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.

Qualifications

• Strong hands-on Apache Spark experience — building and operating pipelines in production, not just familiarity.
• Proficiency in PySpark or Scala for Spark development.
• Proven track record delivering ETL pipelines and data integration at scale.
• Solid SQL skills and command of data modeling concepts.
• Cloud platform experience (AWS, GCP, or Azure) in a production data context.
• Comfortable working with distributed systems and big data formats (Parquet, Delta Lake).

Nice to Have

• Experience with pipeline orchestration tools, particularly Apache Airflow.
• Exposure to the geospatial or location analytics domain.
• Familiarity with Hadoop ecosystem components.
• Background in both Python and Scala (beyond Spark context).

Benefits

• Join a rocketship! We are pioneers of a new market that we are creating.
• Take a central and critical role at Placer.ai.
• Work with, and learn from, top-notch talent.
• Competitive salary.
• Excellent benefits.