Senior Data Engineer

Job Description

The Strategy & Enterprise Analytics team, part of the Global Data Insight & Analytics (GDI&A) organization is looking for an experienced Data Engineer to work with Charging and Energy Services Analytics - Data Mart team for building foundational EV charging data products that enable reporting to company leadership on strategic information like public charging success (bowler) metrics, and empower other GDI&A teams to efficiently build data products and analytics across various EV domains, including charging reliability, battery health, ProPower, and grid services.

Responsibilities

• Master-level proficiency in distributed computing on GCP, real-time data processing, advanced data modeling in BigQuery, and leveraging the full suite of GCP data services.
• Deep understanding of data governance, metadata management, data lineage, and data security framework
• Ensures code is reviewed (e.g. via Code Guardians).
• Reviews team’s code and ensures high-quality code reviews are conducted.
• Optimizes pipelines, processes and design to minimize cost and maximize performance and reliability.
• Implements advanced data systems
• Drives cloud strategy and new technology adoption
• Having expertise on Google cloud Platform services. Should be able to build Data Solution Architecture.
• Expertise on BigQuery, Dataflow, Dataproc, Cloud Run, Pub/Sub.
• Lead the design, development, and implementation of innovative, scalable, and high-quality software solutions
• Drive technical strategy, architectural patterns, and best practices, ensuring alignment with company goals and long-term vision.
• Make high-level technical decisions, including technology selection, and influence organizational technical strategy.
• Create novel solutions and implement advanced architectural patterns, focusing on domain-driven design, clean architecture, event-driven patterns, caching, partitioning, latency, scalability, and availability.
• Provide strategic insights and recommendations to leadership, proactively identifying gaps and proposing solutions.
• Design, implement, and optimize systems for performance, security, privacy, and compliance, anticipating future requirements and building extensible solutions.
• Deliver business outcomes by building systems that meet Service Level Objectives (SLOs), implementing sophisticated testing strategies, and driving quality tool adoption.
• Lead and ensure high-quality code reviews, manage branching strategies, and promote Clean Coding practices.
• Improve developer productivity by automating manual steps in CI/CD and reducing feedback loops.
• Balance technical debt with business needs and collaborate effectively across teams and with leadership.
  
  
  

• Master’s degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field (or equivalent combination of education and experience).
• 5-7 years of experience in Data Engineering or Software Engineering, with at least 2 years of hands-on experience building and deploying cloud-based data platforms (GCP preferred).
• Strong proficiency in SQL, Python, with practical experience in designing and deploying cloud-based data pipelines using GCP services like BigQuery, Dataflow, and DataProc.
• Experience with Astronomer, Airflow
• Knowledge of data governance frameworks, data encryption, and data masking techniques in cloud environments.
• Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform and Tekton, and other automation frameworks.
• Excellent analytical and problem-solving skills, with the ability to troubleshoot complex data platform and microservices issues.
• Proven ability to design resilient strategies, implement sophisticated release management, lead critical incident resolution, and conduct Root Cause Analyses (RCAs).
• Excellent oral, written, and interpersonal communication skills.