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  • ID
    #12866777
  • Job type
    Permanent
  • Salary
    TBD
  • Source
    Judge Group, Inc.
  • Date
    2021-05-01
  • Deadline
    2021-06-30

Vacancy expired!

Location: St. Louis, MO Description: Our client is currently seeking a Data Engineer (Expert)-Data & Analytics-IT-Corp-US

MUST BE ABLE TO WORK DIRECTLY ON OUR COMPANY'S W-2

Data Engineer Python assessment required in order to present resume to client.

Must report onsite when site reopens in St. Louis, MO in about 4 months. (open to relocate)

FILTERED IS REQUIRED FOR THIS POSITION:

Data Engineer - Python

Description:

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Senior Data Engineer, are to:

Work on the deployment, delivery and expansion of data pipelines;

Collaborate with interdisciplinary scientists to gather requirement for data pipelines;

Primary focus on developing data pipelines with geospatial and imaging processing data pipelines to enable batch and real-time analytics.

Optimize algorithms and data workers to scale horizontally and contribute to the development of new algorithms and capabilities that will enable connected pipeline analytics for all pipelines;

Work on all aspects of the design, development, validation, scaling and delivery of analytical solutions;

Work on the development, deployment, and support of systems computing solutions;

Collaborate with analytics and discovery teams to design and plan data engineering solutions;

Implement, configure, and maintain critical third-party solutions related to engineering work, including compute environments, BI platforms, and cloud systems;

Design and maintain ETL workflows;

Provide consulting and feedback to partner teams on data architecture and strategy;

Integrate proactive strategies and best practices to ensure security of stored data;

Design, build, and maintain integrated data solutions such as data lakes and data warehouses;

Design and maintain data storage systems and access patterns;

Collaborate and influence with cross-functional stakeholders to develop our strategic target state data infrastructure and organization model;

Actively drive skill development of others in the space through proactive coaching, feedback, and training;

Drive practices which help raise the success of the overall team, such as code reviews, integrated testing, and other practices;

Partner cross-functionally in the development of shared infrastructure where aligned with Breeding business needs;

Actively identify new technologies and practice within the domain of engineering and drive review for potential introduction to the team's infrastructure.

WHO YOU ARE

Your success will be driven by your demonstration of our LIFE values.

Required Qualifications:

Bachelor's degree in Computer Science, Electrical Engineering or a closely-related field with at least 10 years of industry experience OR Master's Degree in Computer Science, Electrical Engineering or a closely-related field with at least eight years of industry experience OR Doctorate in Computer Science, Electrical Engineering, or a closely-related field with at least four years of industry experience;

Technical knowledge with at least of seven years of experience in at least four of the following: o SQL and NoSQL databases (data warehousing, data modeling, etc.); o Experience with big data tools (Spark, Kafka, Flink, Hadoop, etc.);

Knowledge of algorithms and data structures;

Two plus years of experience with GIS data and relevant tools (ArcGIS Pro, ArcGIS Online, ArcMap)

Experience in Developing and supporting large scale geospatial and Imaging Processing data pipelines

Experience with tools for authoring workflows and pipelines (Airflow, AWS Step Functions, KubeFlow, etc.);

Experience with AWS cloud services (EMR, S3, RedShift, EC2, etc.);

Experience with distributed systems;

Experience with python, Java, R, or Scala.

Preferred Qualifications:

Network and Database administration;

Proven systems administration and operations experience;

Proven ability to plan, schedule and deliver quality software DevOps methodology;

Experience in running production cloud systems and diagnosing and fixing problems;

Familiarity with ML workflows including validation and hyper parameter tuning approaches, and ML frameworks such as scikit-learn and tensor flow.

What is the highest level of education is needed for this position?

o Bachelor's degree in Computer Science, Electrical Engineering or a closely-related field with at least 10 years of industry experience OR Master's Degree in Computer Science, Electrical Engineering or a closely-related field with at least eight years of industry experience OR Doctorate in Computer Science, Electrical Engineering, or a closely-related field with at least four years of industry experience

FILTERED IS REQUIRED FOR THIS POSITION: Data Engineer - Python

Contact:

This job and many more are available through The Judge Group. Find us on the web at www.judge.com

Vacancy expired!

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