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.

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.

Preferred Qualifications - good to have

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