The global data management software market is set to reach $137.6 billion by 2026, and we're on a mission to make a significant impact. We're seeking intellectually curious and highly motivated Data Engineers to become foundational members of our Machine Learning and Data Platform team.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

4+ years of professional experience in SaaS/Enterprise companies
Strong experience with data ingestion and connectors
Experience in building end-to-end production-grade data solutions on AWS or GCP
Experience in building scalable ETL pipelines.
Ability to plan effective data storage, security, sharing, and publishing within an organization.
Experience in developing batch ingestion and data transformation routines using ETL tools.
Familiarity with AWS services such as S3, Kinesis, EMR, Lambda, Athena, Glue, IAM, RDS.
Proficiency in several programming languages (Python, Scala, Java).
Familiarity with orchestration tools such as Temporal, Airflow, Luigi, etc.
Self-starter, motivated, with the ability to structure complex problems and develop solutions.
Excellent communication skills and ability to explain data and analytics strengths and weaknesses to both technical and senior business stakeholders.

Deep familiarity with Spark and/or Hive
Understanding of different storage formats like Parquet, Avro, Arrow, and JSON and when to use each
Understanding of schema designs like normalization vs. denormalization.
Proficiency in Kubernetes, and Terraform.
Azure, ADF and/or Databricks skills
Experience with integrating, transforming, and consolidating data from various data systems into analytics solutions
Good understanding of databases, SQL, ETL tools/techniques, data profiling and modeling
Strong communications skills and client engagement

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Data Engineer

Kumo in Mountain View, CA