Data Engineer AWS

7 days ago

North Reading, United States SPECTRAFORCE Full time

Job Title: Data Engineer - AWS (*****************Only W2*******************)

Location: North Reading, MA (Prefer 5 day in office, can be flexible with hybrid schedule based on candidates needs )

Duration: 6 months


Job Description

We apply cutting edge advancements in robotics, software development, Big Data, ML and AI to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We operate hundreds of buildings that employ hundreds of thousands of robots teaming up to perform sophisticated, large-scale missions. There are a lot of exciting opportunities ahead of us that can be unlocked by supporting scientific research with robust engineering and operations. Dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.

We are looking for a Data Engineer to join the Infrastructure and Operations team within the Research Organization to scale our research across our Robotic Solutions.


Responsibilities:

  • As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments.
  • You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data.
  • You will be responsible for designing and implementing complex data models to scale research and simulations.
  • You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.

Required Skills & Experience

  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
  • Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
  • Experience with SQL
  • Experience working on and delivering end to end projects independently

Preferred qualifications

  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
  • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
  • Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
  • Experience with Apache Spark / Elastic Map Reduce
  • Familiarity and comfort with Python, SQL, Docker, and Shell scripting. Java preferred but not necessary.
  • Experience with continuous delivery, infrastructure as code, microservices, in addition to designing and implementing automated data solutions using Apache Airflow, AWS Step Functions, or equivalent

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