Position: Data Engineer Location: San Ramon, CA Onsite We are seeking a skilled and motivated Data Engineer to join our growing data engineering team. This role is ideal for professionals passionate about building scalable data pipelines, implementing cloud-native solutions, and driving insights from complex data environments. Key Responsibilities: • • Integrate structured and unstructured data from diverse sources into centralized data lakes or warehouses • Collaborate with Data Scientists, Analysts, and DevOps teams to deliver high-quality solutions • Implement scalable ETL/ELT frameworks across cloud platforms like AWS, Azure, or GCP • Optimize data storage, retrieval, and throughput across big data ecosystems • Ensure data quality, integrity, and security standards are upheld throughout lifecycle • Monitor pipeline performance and resolve production issues with root cause analysis Design, build, and maintain robust data pipelines using tools such as Python, Spark, and SQL Required Skills & Qualifications: Bachelor's or Master's in Computer Science, Data Engineering, or related field • 3+ years of experience with Python, SQL, and big data frameworks like Spark • Hands-on experience with cloud platforms (AWS, Azure, GCP) and data warehousing • Proficiency with ETL tools and orchestration frameworks (e.g., Airflow, DBT) • Familiarity with containerization tools like Docker and orchestration with Kubernetes • Strong understanding of version control, CI/CD, and agile development methodologies • Excellent problem-solving and communication skills Preferred Qualifications: • Certifications in cloud services (AWS Certified Data Analytics, Azure Data Engineer, etc.) • Experience with IaC (Terraform, CloudFormation) and monitoring tools (Datadog, Grafana) • Exposure to streaming data technologies like Kafka or Kinesis