Senior Data Engineer

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phData

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $2.5M Seed Round on 2018-03

Consulting • Healthcare • Manufacturing

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.

📋 Description

• Develop end-to-end technical solutions for production • Help ensure performance, security, scalability, and robust data integration • Write, debug, and optimize SQL queries • Create and deliver detailed presentations • Produce detailed solution documentation, including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views • Work as a Software Engineer, Data Engineer, or Data Analyst within client-facing engagements

🎯 Requirements

• At least 4+ years of experience as a Software Engineer, Data Engineer, or Data Analyst • Ability to develop end-to-end technical solutions into production • Ability to help ensure performance, security, scalability, and robust data integration • Programming expertise in Java, Python, and/or Scala • Experience with core cloud data platforms including Snowflake, AWS, Azure, Databricks, and GCP • SQL expertise and ability to write, debug, and optimize SQL queries • Client-facing English written and verbal communication skills and experience • Ability to create and deliver detailed presentations • Ability to produce detailed solution documentation, including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views • 4-year Bachelor's degree in Computer Science or a related field • Preferred: production experience with core data platforms including Snowflake, AWS, Azure, GCP, Hadoop, and Databricks • Preferred: cloud and distributed data storage experience with S3, ADLS, HDFS, GCS, Kudu, Elasticsearch/Solr, Cassandra, or other NoSQL storage systems • Preferred: data integration technology experience with Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure Data Factory, IICS, Google DataProc, or other data integration technologies • Preferred: experience with multiple data sources such as queues, relational databases, files, search, and APIs • Preferred: complete software development lifecycle experience • Preferred: automated data transformation and data curation experience with dbt, Spark, Spark Streaming, and automated pipelines • Preferred: workflow management and orchestration experience with Airflow, AWS Managed Airflow, Luigi, or NiFi

🏖️ Benefits

• Remote-first work environment • Opportunity for real ownership over work • Inclusive environment • Equal opportunity employer • Disability accommodations available