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Lead/Senior Data Engineer

phData

Full-time
USA
engineer
java
python
hadoop
sql
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

Required Experience:

  • 4+ years as a hands-on Data Engineer and/or Software Engineer designing and implementing data solutions

  • Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.

  • Ability to multitask, prioritize, and work across multiple projects at once.

  • Programming expertise in Java, Python and/or Scala, including experience with software development life cycle, including unit and integration testing

  • Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP

  • Experience using 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 (including Snowflake Native Apps), AWS, Azure, GCP, Hadoop, Databricks, IICS

  • 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, 4 weeks PTO plus 10 Holidays (and other cool perks)

  • Accelerated learning and professional development through advanced training and certifications

 

#LI-DNI

About the job

Full-time
USA
7 Applicants
Posted 1 month ago
engineer
java
python
hadoop
sql
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Lead/Senior Data Engineer

phData
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

Required Experience:

  • 4+ years as a hands-on Data Engineer and/or Software Engineer designing and implementing data solutions

  • Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.

  • Ability to multitask, prioritize, and work across multiple projects at once.

  • Programming expertise in Java, Python and/or Scala, including experience with software development life cycle, including unit and integration testing

  • Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP

  • Experience using 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 (including Snowflake Native Apps), AWS, Azure, GCP, Hadoop, Databricks, IICS

  • 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, 4 weeks PTO plus 10 Holidays (and other cool perks)

  • Accelerated learning and professional development through advanced training and certifications

 

#LI-DNI

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