Lead Data Engineer

Required Experience:

• 8+ years as a hands-on Solutions Architect and/or Data Engineer designing and implementing data solutions
• Team lead, and/or mentorship of other engineers
• Ability to develop end-to-end technical solutions into production - and to help ensure performance, security, scalability, and robust data integration.
• Programming expertise in Java, Python and/or Scala
• Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
• SQL and the ability to write, debug, and optimize SQL queries
• Client-facing written and verbal communication skills and experience
• Create and deliver detailed presentations
• Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)
• 4-year Bachelor's degree in Computer Science or a related field .

Prefer any of the following:

• Production experience in core data platforms:

  Snowflake, AWS, Azure, GCP, Hadoop, Databricks

• Cloud and Distributed Data Storage:

  S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems

• Data integration technologies:

  Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data integration technologies

• Multiple data sources

  (e.g. queues, relational databases, files, search, API)

• Complete software development lifecycle experience

  including design, documentation, implementation, testing, and deployment

• Automated data transformation and data curation:

  dbt, Spark, Spark streaming, automated pipelines

• Workflow Management and Orchestration:

  Airflow, AWS Managed Airflow, Luigi, NiFi.