Data Engineer
To see similar active jobs please follow this link: Remote Development jobs
Required Experience:
1-4 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 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
Why phData? We offer:
Remote-First Work Environment
Casual, award-winning small-business work environment
Collaborative culture that prizes autonomy, creativity, and transparency
Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
Accelerated learning and professional development through advanced training and certifications
#LI-DNI
Data Engineer
To see similar active jobs please follow this link: Remote Development jobs
Required Experience:
1-4 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 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
Why phData? We offer:
Remote-First Work Environment
Casual, award-winning small-business work environment
Collaborative culture that prizes autonomy, creativity, and transparency
Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
Accelerated learning and professional development through advanced training and certifications
#LI-DNI