Senior Data Engineer - Cloud Data Pipelines & Infra Hybrid

Aurora

Mountain View (CA)

Hybrid

USD 162,000 - 260,000

Full time

3 days ago
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Job summary

Aurora is seeking a talented Software Engineer to join our data engineering and infrastructure team. You will design, build, and maintain scalable data pipelines and the data lake/warehouse ecosystem that powers our AI and analytics platforms.

You will collaborate with data scientists, analysts, and product teams to deliver high-quality data solutions on AWS, using Terraform and Airflow, while upholding data quality and security standards. Hybrid work in Mountain View, CA.

Qualifications

  • Master's degree or equivalent practical experience.
  • 5+ years of software engineering with data projects.
  • Proficiency in Python, Go or C++.
  • Experience with big data frameworks like Spark, Presto/Trino, EMR, Flink, Kinesis.
  • Cloud experience with AWS, GCP, or Azure and data services.
  • Strong SQL skills with relational and NoSQL databases.
  • Experience with DBT and Airflow.
  • Excellent cross-functional communication.

Responsibilities

  • Design, build, and maintain robust and scalable data pipelines and ETL/ELT processes to ingest, transform, and load data from various sources into our data warehouse.
  • Develop and manage data infrastructure components using AWS cloud services and infrastructure-as-code tools like Terraform.
  • Collaborate with data scientists, analysts, autonomy engineering teams and product teams to understand their data needs and build solutions that meet their requirements.
  • Optimize data processing systems for performance, reliability, and cost-efficiency.
  • Implement monitoring, alerting, and logging for data pipelines and infrastructure to ensure operational stability.
  • Champion best practices in data governance, data quality, and security.
  • Work closely with other senior team members and management to improve the data ecosystem toolings, refine user experience, and continuously polish team roadmap.

Skills

Data pipelines
ETL/ELT
Python
SQL
Spark/Presto
AWS
Terraform
Airflow
Data governance
Communication

Tools

Airflow
DBT
Redshift
Snowflake
BigQuery

Job description

Aurora is seeking a talented Software Engineer to join our data engineering and infrastructure team. You will design, build, and maintain scalable data pipelines and the data lake/warehouse ecosystem that powers our AI and analytics platforms.

You will collaborate with data scientists, analysts, and product teams to deliver high-quality data solutions on AWS, using Terraform and Airflow, while upholding data quality and security standards. Hybrid work in Mountain View, CA.

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