Data Engineer

February 25

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phData

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phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.

Spark • Impala • Kafka • Kudu • Scala

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $2.5M Seed Round on 2018-03

📋 Description

• Join phData, a dynamic and innovative leader in the modern data stack. • 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 with employees based in the United States, Latin America and India. • Celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. • Maintain a casual, exciting work environment. • Hire top performers and allow you the autonomy to deliver results. • Recognized as an award-winning workplace in the US, India and LATAM.

🎯 Requirements

• 5+ years as a hands-on Data Engineer, Software Engineer or Solutions Architect designing and implementing data solutions • Solutions Architects must have team lead experience • 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 • 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