Lead Engineer - Data Platform

October 2

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Knowledge Anywhere

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Corporate eLearning Solutions • Learning & Development • Online Training • Virtual Classrooms • Learning Management Systems

11 - 50 employees

Founded 1998

☁️ SaaS

📚 Education

🏢 Enterprise

Description

• We're seeking a talented, creative, and motivated Lead Data Engineer who loves to build data platform tools and is ready to work with a team of individuals who share your passion. • You enjoy building tools such as Data Ingestion Service to ingest data from diverse sources to Data Platform, building tools for monitoring & observability. • With your unwavering commitment to quality, excellent data/cloud skills, and collaborative work ethic, you’ll do great things here at Anywhere.

Requirements

• Bachelor’s in Computer Science, Engineering, or related technical discipline or equivalent combination of training and experience. • 10+ years programming experience: building application frameworks, and back-end systems for high-volume pipelines using Java/Python. • 10+ years’ experience building data frameworks, and platforms and scaling them to large volumes of data. • 5+ years’ experience building streaming platforms using Apache Kafka, Confluent Kafka, AWS Managed Kafka Service. • 5+ years’ experience ingesting data from SQL Server/My SQL/Oracle using Change Data Capture, debezium, and Kafka Connect. • 5 years’ experience using AWS Data Services: DMS, EMR, Glue, Athena, S3, and Lambda. • 2 years’ experience building Data Observability using Monte Carlo or DataDog. • 2 years’ experience building data solutions using Apache Iceberg, Apache Hudi. • 1-year exp. with data architecture, ETL and processing of structured and unstructured data. • 5 years’ experience with DevOps tools (any combination of GitHub, TravisCI or Jira) and methodologies (Lean, Agile, Scrum, Test Driven Development)

Benefits

• EOE including disability/veteran