Spark • Impala • Kafka • Kudu • Scala
201 - 500 employees
Founded 2014
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $2.5M Seed Round on 2018-03
6 days ago
Airflow
AWS
Azure
Cassandra
Cloud
ElasticSearch
Google Cloud Platform
Hadoop
HDFS
Informatica
Java
Kafka
Matillion
NoSQL
Python
Scala
Spark
SQL
Go
Spark • Impala • Kafka • Kudu • Scala
201 - 500 employees
Founded 2014
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $2.5M Seed Round on 2018-03
• Join phData, a dynamic leader in the modern data stack. • We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions. • phData is a remote-first global company. • We celebrate our team members’ cultures and foster a community of technological curiosity, ownership and trust. • We maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.
• 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 Bachelor's degree in Computer Science or a related field • 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
• 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
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