Description

You will architect, develop, and test large-scale data solutions to support business decision-making.

Responsibilities

• Design and implement scalable methods for consuming data from diverse, variable-quality sources.
• Create data products that enable self-service and predictability for consumers.
• Build libraries and frameworks to drive productivity across the engineering team.
• Optimize and maintain existing solutions to improve efficiency, data quality, and operational excellence.
• Analyze complex datasets to design high-quality, efficient technical solutions.

Required Skills

• 6+ years of software engineering experience with a strong focus on SQL and data.
• Proficiency in Java, Python, or Scala.
• Hands-on experience with Spark, Airflow, Trino, and Kafka.
• Strong SQL skills for complex data analysis.
• Familiarity with SDLC best practices, version control, and CI/CD.
• Ability to design systems for high-scale data consumption.

Preferred Skills

• Experience with cloud services (AWS, GCP, or Azure) for data infrastructure and storage.
• Knowledge of Infrastructure as Code (Terraform) and container orchestration (Kubernetes).

Key Skills

Education

Any Graduate