Data Engineer

3+ years of experience as a Data Engineer working with large-scale data platforms and high-volume datasets

Strong expertise in data modeling, data warehousing concepts, and analytical data architecture design

Proven experience designing and developing complex ETL/ELT workflows following BI and data engineering best practices

Hands-on experience with BigQuery, including partitioning, clustering, query optimization, and cost management

Strong SQL skills with the ability to write and optimize complex analytical queries using Google SQL

Proficiency in Python and data processing libraries such as Pandas and PySpark

Experience working with ClickHouse, including architecture understanding, performance optimization, and migration approaches

Solid knowledge of Google Cloud Platform services, including Cloud Storage, Pub/Sub, DataForm, IAM, and service accounts

Experience with Git, CI/CD practices, automated deployments, and environment management for data workflows

Strong understanding of monitoring, logging, data validation, and production-grade data quality practices

Excellent analytical thinking, problem-solving skills, and ability to work independently in a fast-paced environment

Strong communication and collaboration skills with both technical and non-technical stakeholders

Understanding of product metrics, experimentation frameworks, and data-driven decision making

2+ years of previous Software Engineering experience

Experience optimizing storage and compute resources to improve infrastructure efficiency and reduce operational costs

Experience integrating data platforms with BI tools such as Tableau or Looker