Senior Data Engineer – Cloud Operations Engineering

Senior Data Engineer – Cloud Operations Engineering

Requirements

• 5+ years of industry experience.
• Bachelor’s or Master’s degree or equivalent experience.
• Proven expertise in building and optimizing data pipelines using tools like Apache Spark, Airflow, or Kafka.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with relational and NoSQL databases (e.g., Snowflake, BigQuery, PostgreSQL).
• Familiarity with cloud storage and infrastructure (AWS S3, GCP BigQuery, Azure Data Lake).
• Deep knowledge of data modeling, schema design, and data warehousing for high-scale systems.
• Expertise in using reporting systems like Power BI, Tableau, or Superset, and guiding teams to derive actionable insights.
• Excellent debugging and problem-solving skills in complex, distributed environments.

Responsibilities

• Architect and implement efficient data pipelines to ingest, transform, and store operational telemetry.
• Develop robust data models, schemas, and warehouses to ensure consistent reporting and traceability.
• Build APIs and query layers (e.g., GraphQL, REST) for seamless data access and integration across systems.
• Partner with engineering and operations teams to centralize telemetry, improve reporting accuracy, and enhance visibility.
• Monitor data freshness, identify bottlenecks, and propose automation to reduce manual toil.
• Provide expertise in reporting tools (e.g., Power BI, Tableau, Superset) to design actionable dashboards.
• Mentor teams on data best practices, driving insights and operational efficiency through intelligent data systems.

Preferred Qualifications

• Experience building real-time telemetry pipelines and integrating data into operational workflows.
• A proven track record of driving standardization and governance in data systems.
• Familiarity with workflow orchestration tools and their integration into broader business processes.