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Senior Data Engineer

Company: phData
Location: Jersey City
Posted on: January 13, 2022

Job Description:

Sr Data Engineer - Cloud Solutions (Snowflake, AWS, Azure, Databricks) - Work 100% Remote
phData works exclusively in the realm of data and machine learning. By partnering with the biggest cloud data platforms (Snowflake, Azure, AWS), we're able to help the world's largest companies solve their toughest challenges.
Our work is challenging and our standards are high, but we invest heavily in our employees, starting with a 4 week bootcamp to ensure you'll be successful. Plus, you'll get to work with the brightest minds in the industry and the latest data platforms on the market. And, because the data and ML industry is changing rapidly, you will always have the opportunity to learn - whether that's a new technology, diving deeper into your preferred stack, or picking up an entirely new skill set.
Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow them the flexibility to deliver results their way. Our focus is always on what you can do, not what you can't. -

  • Best Places to Work (2017, 2018, 2019, 2020, 2021)
  • Inc. 5000 Fastest-Growing US Companies (2019, 2020,2021)
  • Snowflake Emerging Partner of the Year 2020
  • Databricks Rising Star Partner of the Year 2020
  • Cloudera Partner of the Year 2020
    We're looking for Sr. Data Engineers to serve as key technical leaders helping customers gain tangible value from their data. This may be the perfect opportunity if you have....
    • At least 4+ years experience as a Software Engineer, Data Engineer or Data Analyst
    • Programming expertise in Java, Python, Scala, or another modern programming language like Kotlin, C#, NodeJS, Rust
    • Strong working knowledge of SQL and the ability to write, debug, and optimize SQL queries
      As well as some or all of the following: -
      • Production experience in core data platforms: Snowflake, Databricks, AWS, Azure, GCP, Hadoop
      • Cloud and distributed data storage (HDFS, S3, ADLS, GCS, Kudu, Elasticsearch/Solr, Cassandra or other NoSQL storage systems)
      • Data integration technologies: Spark, Kafka, eventing/streaming, StreamSets, NiFi, AWS Data Migration Services, Azure Data Factory, Google DataProc
      • Multiple data sources (e.g. queues, relational databases, files, search)
      • Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
      • Automated data transformation and data curation: spark, spark streaming, automated pipelines
        You might also have...
        • Relevant side projects (e.g., contributions to an open source technology stack)
        • 4-year Bachelor's degree in Computer Science or a related field
          And you enjoy....
          • Designing and implementing data solutions best-suited to deliver on our customer needs and use cases - from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack.
          • Providing thought leadership by recommending the right technologies and solutions for a given use case, from the application layer to infrastructure; and they have the team leadership and coding skills (e.g. Python, Java, and Scala) to get their solutions into production - and to help ensure performance, security, scalability, and robust data integration.
            And you're exceptional at... -
            • Thinking independently and seeing the big picture
            • Translating customer needs into solutions
            • Confidently standing behind your recommendations
            • Exploring new technologies in an effort to always grow and uncover better ways to solve problems (for instance: automating all the things)
            • Explaining your technical decisions, both internally and externally
            • Smiling in the face of complex problems
            • Collaborating and helping your fellow data engineers learn and grow
            • Working seamlessly across a variety of technical stacks, including Cloudera, Databricks, Snowflake & AWS
              And if you're joining as a Solution Architect, you have...
              • 8+ years of total experience
              • Client-facing written and verbal communication skills and experience
              • Proven experience as a technical team lead, and/or mentorship of other engineers
              • Ability to develop end-to-end technical solutions -
              • Create and deliver detailed presentations -
              • Detailed solution documentation (e.g. sequence diagrams, class hierarchies, logical system views, etc.)
                Why phData? We offer:
                • Remote-First Work Environment - Work 100% Remote
                • Casual, award-winning, entrepreneurial work environment (work remote)
                • Collaborative culture that prizes autonomy, creativity, and transparency
                • Competitive comp, excellent benefits, 4 weeks PTO plus 10 Holidays (and other cool perks)
                • Continuous, advanced training and paid certifications
                • Accelerate learning and professional growth working with the most extraordinary Engineers in the industry

Keywords: phData, Jersey City , Senior Data Engineer, Engineering , Jersey City, New Jersey

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