Junior Data Engineer

Summary

Our Data Engineers are the backbone of our company. They have the unique combination of business acumen needed to interface directly with key client stakeholders to understand the problem along with the skills and vision to translate the need into a world-class technical solution using the latest technologies. The Junior Data Engineer will be equally skilled with the whiteboard and the keyboard. The Junior Data Engineer will work side-by-side with key client stakeholders to envision, design, and implement complex technical solutions. The Junior Data Engineer will help Precocity develop solutions and capabilities that help differentiate and give us an edge in the market.

Responsibilities
  • Work alongside senior leadership to help develop business and technical strategy for our data and analytics practice
  • Work with existing and prospective clients to understand their business context and craft best-in-class solutions to their toughest problems
  • Architect and implement best-in-class solutions using technologies, like Spark, DBT, Kafka, Airflow, Google Cloud Dataflow, BigQuery, Snowflake, and Amazon Kinesis/RedShift among others
  • Create robust and automated pipelines to ingest and process structured and unstructured data from source systems into analytical platforms using batch and streaming mechanisms
  • Work with data scientists to operationalize and scale machine learning training and scoring components by joining and aggregating data from multiple datasets to produce complex models and low-latency feature stores
  • Leverage graph databases and other NoSQL data stores to accomplish tasks that are not possible with traditional databases
  • Contribute to content and thought leadership that can be published on our blog or web site or that can be presented at relevant conferences
  • Assist in the development of proposals and other business development related materials
  • Contribute to an internal knowledge base to build expertise and awareness within the organization
  • Other duties as assigned

Qualifications
  • High school diploma or GED required
  • 3+ years of deep software development and engineering experience
  • 1+ years of experience in the data and analytics space
  • 1+ years in key aspects of software engineering, like parallel data processing, data flows, REST APIs, JSON, XML, and microservice architectures
  • 2+ years of Python experience
  • 2+ years of RDBMS concepts with strong SQL skills
  • Background check required

Knowledge, Skills and Abilities
  • Have a collegial and collaborative working style
  • Must be a self-starter and team player capable of working and communicating with internal and client resources
  • Some consulting experience is preferred
  • Strong verbal and written communication skills
  • A passion for technology with a strong desire to constantly be learning and honing your craft
  • An understanding of what it takes to make a modern data solution production-ready, including operations and monitoring strategies and tools
  • Detail oriented with the curiosity that compels you to dive deep into the problem whether to identify the root cause of a quality issue or understand hidden patterns
  • Understanding and experience with stream processing and analytics tools and technologies, like Kafka, Spark Streaming, Storm, or Flink, etc.
  • Experience working in a scrum/agile environment and associated tools (Jira)
  • Proficient with application build and continuous integration tools (e.g., Maven, Gradle, SBT, Jenkins, or Git, etc.)
  • General knowledge of big data and analytics solutions provided by major public cloud vendors (AWS, Google Cloud Platform, or Microsoft Azure).
  • Hands-on experience with DevOps solutions, like Jenkins, Puppet, Chef, Ansible, or CloudFormation, etc.
  • Any certifications related to Big Data platforms, NoSQL databases, or cloud providers are a plus
  • Experience with large data sets and associated job performance tuning and troubleshooting
  • Ability to wrangle data at scale using tools, like BigQuery, Spark, and other distributed data processing tools
  • Experience with customer and marketing analytics is a plus

#Precocity, LLC

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