Data Engineer

ACS -
Menands, NY, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$72,800.0 - $76,960.0
Working hours
Regular working hours

Tech stack

Business Analytics Applications Big Data Cloud Computing Cloud Engineering Information Engineering Extract Transform Load (ETL) Data Visualization Amazon DynamoDB Python (Programming Language) PostgreSQL MongoDB NoSQL
+7 more
Oracle (Applications) Tableau (Software) Data Processing Information Technology Data Analytics AWS Data Analytics Serverless Computing

Requirements

  • This position requires at least a bachelor’s degree in Data Engineering, Computer Science, MIS or equivalent from an accredited institution. A copy of the degree must be submitted with the Candidate Proposal Response.
  • Experience with development in medium to large-scale technical projects and assuring deliverables and project scope are met and well documented
  • Experience with data analytics including processing, reporting, transformation, visualization.
  • Candidate must be legally authorized to work in the United States.

Preferred Qualifications

  • Experience with Python based data analytics projects
  • Experience with relational and NoSQL databases (like Oracle, Postgres, MongoDB, DynamoDB, etc) containing large amounts of data (greater than 10 million rows
  • Experience with developing and maintaining data processing and ETL pipelines
  • Experience with developing cloud native and hybrid applications using serverless platforms
  • Experience in designing and implementing data visualizations with large datasets (1 million+ records) on analytics platforms such as Tableau

About the company

Jones Lang LaSalle

  • Latham, NY
  • $72,800-76,960 per year JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology fo…

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

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Migrating existing applications from MongoDB to Postgres

Nikita Shamgunov Nikita Shamgunov · World Congress 2024

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Defining big data and machine learning fundamentals

Ayon Roy · LIVE

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Balancing data science skillings alongside systems engineering rigor

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Terminology differences between relational and NoSQL databases

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Career evolution in data engineering and AI platforms

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