Senior Data Engineer

Location: LATAM - Remote

Department: Data Engineering

Required Experience: 

• At least 4+ years experience as a Software Engineer, Data Engineer or Data Analyst
• 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 English 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 Bachelors 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