Oversee the high-level and low-level designs of one or more data sub-systems of the billing platform.
Lead the design and development of complex data processing systems.
Develop robust data pipelines for transporting data from transactional databases to analytical stores.
Architect data models and transform raw transactional data into simplified, aggregated billing entities.
Provide technical leadership and guidelines for building next-generation agentic billing systems.
Mentor and guide other engineers, fostering a culture of continuous learning and data excellence.

Requirements

4+ years of professional, hands-on data engineering experience
Strong experience in architecting and designing large-scale, complex data systems.
Proficient coding skills in languages like Python, Java, or Scala
Experience with transactional databases (SQL), data warehousing/lakehouse solutions (e.g., Apache Iceberg), and data processing frameworks (e.g., Apache Flink, Apache Spark)
Experience with workflow orchestration tools such as Airflow.
Proficient in using cloud computing tools throughout the software development lifecycle
Skilled in collaborating across engineering teams and other functions.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata processing systemsdata pipelinesdata modelsPythonJavaScalaSQLApache IcebergApache Flink

Soft Skills

technical leadershipmentoringcollaborationcontinuous learningdata excellence