Data Engineer

Hybrid in Albany, NY, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Cloud Computing
  • Computer Science
  • Data Engineering
  • Data Governance
  • Data Profiling
  • Data Quality
  • Data Visualization
  • Database
  • Finance
  • Financial Reporting
  • HIS
  • Informatica
  • Information Technology
  • Master Data Management
  • Microsoft Excel
  • Microsoft Power BI
  • Mobile Device Management
  • Python
  • R
  • RDBMS
  • Reporting
  • SQL
  • Specification Gathering
  • Statistics
  • Tableau
  • VBA
  • Workflow

Summary

 


Works in the field of Information Technology, experienced in the usage and support of a collection of development platforms, technical architectures or business applications and products that run on those platforms - beyond that of a Programmer.
Expert
84+ months: Candidate is able to provide guidance to large teams and/or has extensive industry experience and is considered at the top of his/her field.
• 48 Months of Experience in Building and Maintaining Data Workflows and
data pipelines using database tools, specifically translating business
requirements into technical specifications.
• 36 Months of Experience in Automating Data Ingestion and Reporting using
programming languages such as Python, R, or Excel VBA.
• 36 Months of Experience in Data Visualization utilizing PowerBI or Tableau.
• 24 Months of Experience in cloud-based data platforms, preferably
Snowflake.
• 12 Months of Experience with MDM and Cataloging Platforms (e.g.,
Informatica, Collibra, Alation) to execute data profiling and manage
metadata/lineage.
• 84 Months of experience in Data Engineering, Architecture, Data Governance,
or Data Quality Assurance for Financial Reporting.
• 84 Months of Experience in SQL and Relational Database Management
Systems (RDBMS), including querying complex datasets.
• 84 Months of Experience in Compiling, Computing, and Validating Financial
Data using advanced statistical formulas and model calculations.
• Bachelor''s Degree in a quantitative discipline (Computer Science, Statistics,
Finance, or related field).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90718572
  • Position Id: 8929882
  • Posted 2 hours ago
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