Senior Data Engineer at Sonatype responsible for building data pipelines and BI solutions. Collaborating with teams to design infrastructures empowering analytics and decision-making.
Responsibilities
Design, build, and maintain scalable data pipelines and ETL/ELT processes.
Architect and optimize data models and storage solutions for analytics and operational use.
Create and manage business intelligence reports and dashboards using tools like Looker Studio, Power BI, or similar.
Collaborate with data scientists, analysts, and stakeholders to ensure datasets are reliable, meaningful, and actionable.
Own and evolve parts of our data platform (e.g., Airflow, dbt, Spark, Redshift, or Snowflake).
Write complex, high-performance SQL queries to support reporting and analytics needs.
Implement observability, alerting, and data quality monitoring for critical pipelines.
Drive best practices in data engineering and business intelligence, including documentation, testing, and CI/CD.
Contribute to the evolution of our next-generation data lakehouse and BI architecture
Requirements
5+ years of experience as a Data Engineer or in a hybrid data/reporting role.
Strong programming skills in Python, Java, or Scala.
Proficiency with data tools such as Databricks, data modeling techniques (e.g., star schema, dimensional modeling), and data warehousing solutions like Snowflake or Redshift.
Hands-on experience with modern data platforms and orchestration tools (e.g., Spark, Kafka, Airflow).
Proficient in SQL with experience in writing and optimizing complex queries for BI and analytics.
Experience with BI tools such as Looker Studio, Power BI, or Tableau.
Experience in building and maintaining robust ETL/ELT pipelines in production.
Understanding of data quality, observability, and governance best practices.
Benefits
Parental leave
Diversity and inclusion working groups
Flexible working practices
Job title
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