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Salary
$32k – $77k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Staff · 8+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Sonatype is a leader in software composition analysis (SCA) and software supply chain management. The company provides solutions to automate software supply chain security, build centralized components, control open source risks, and simplify software bill of materials (SBOM) compliance. Sonatype offers tools such as Nexus Repository, Repository Firewall, Lifecycle, and SBOM Manager, which help developers deliver quality code securely and manage vulnerability risks.

We’re looking for a Staff Data Quality Analyst to join our growing Data Platform team. You’ll play a key role in designing and scaling the infrastructure and pipelines that power analytics, machine learning, and business intelligence across Sonatype.You’ll work closely with stakeholders across product, engineering, and business teams to ensure data is reliable, accessible, and actionable. This role is ideal for someone who thrives on solving complex data challenges at scale and enjoys building high-quality, maintainable systems.

What You’ll Do

  • Design, build, and maintain scalable data pipelines and ETL/ELT processes
  • Architect and optimize data models and storage solutions for analytics and operational use
  • Collaborate with data scientists, analysts, and engineers to deliver trusted, high-quality datasets
  • Own and evolve parts of our data platform (e.g., Airflow, dbt, Spark, Redshift, or Snowflake)Implement observability, alerting, and data quality monitoring for critical pipelines
  • Drive best practices in data engineering, including documentation, testing, and CI/CD
  • Contribute to the design and evolution of our next-generation data lakehouse architecture

What We’re Looking For

  • 8+ years of experience as a Data Engineer or in a similar backend engineering role
  • Strong programming skills in Python, Scala, or Java Hands-on experience with HBase or similar NoSQL columnar stores
  • Hands-on experience with distributed data systems like Spark, Kafka, or Flink
  • Proficient in writing complex SQL and optimizing queries for performance
  • Experience building and maintaining robust ETL/ELT pipelines in production
  • Familiarity with workflow orchestration tools (Airflow, Dagster, or similar)
  • Understanding of data modeling techniques (star schema, dimensional modeling, etc.)

Why You’ll Love Working Here

  • Data with purpose: Work on problems that directly impact how the world builds secure software
  • Modern tooling: Leverage the best of open-source and cloud-native technologies
  • Collaborative culture: Join a passionate team that values learning, autonomy, and impact
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