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Senior Data Engineer

AlembicCausal AI, company
San Francisco, United StatesSenior
Data & AI

About the role

Build and optimize scalable data pipelines at Alembic.

  • As a Senior Data Engineer at Alembic, you will be at the core of our data platform, building scalable and reliable data pipelines, optimizing storage solutions, and enabling real-time and batch analytics.
  • Key Responsibilities Design, develop, and maintain scalable ETL pipelines that ingest, process, and transform large volumes of structured and unstructured data.
  • Optimize data storage solutions using modern data lakehouse architectures and best practices for cost, performance, and reliability.
  • Collaborate with data scientists and engineers to integrate machine learning models and analytical workloads into production environments.
  • Ensure data integrity, quality, and security by implementing monitoring, alerting, and governance best practices.
  • Work with cloud-based data warehouses and distributed data processing frameworks.
  • Continuously evaluate and implement new technologies to improve data infrastructure and operational efficiency.
  • Requirements 10+ years of experience in data engineering, software engineering, or a related field.
  • Strong expertise in SQL and Python for data processing.
  • Experience with modern data warehousing and lakehouse solutions (i.e.
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Tech stack

SQLPythonSparkApache KafkaAWSGoogle CloudAzureDockerKubernetesTerraformCloudFormation

Match insights

Tech:SQL, Python, Spark, Apache Kafka, AWS
Level:Senior

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