Data Engineer (W2)

Jersey City, NJ, US • Posted 14 hours ago • Updated 10 hours ago
Contract W2
Contract Independent
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Dimensional Modeling
  • Cloud Computing
  • Communication
  • Data Loading
  • Analytics
  • Attention To Detail
  • Banking
  • Data Modeling
  • Data Processing
  • Data Warehouse
  • Extract
  • Transform
  • Load
  • Financial Services
  • Management
  • Mapping
  • Meta-data Management

Summary

Responsibilities :

  • Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.
  • Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.
  • Need to have working knowledge of MS Azure configuration items with respect to Snowflake.
  • Developing EL pipelines in and out of data warehouse using combination of Data bricks, Python and Snow SQL.
  • Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
  • Developing scripts UNIX, Python etc. to Extract, Load and Transform data, as well as other utility functions.
  • Provide production support for Data Warehouse issues such data load problems, transformation translation problems
  • Translate mapping specifications to data transformation design and development strategies and code, incorporating standards and best practices for optimal execution.
  • Understanding data pipelines and modern ways of automating data pipeline using cloud based testing and clearly document implementations, so others can easily understand the requirements, implementation, and test conditions.
  • Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.

 

Requirements:

  • Minimum 8 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse.
  • Including hands on experience with productionized data ingestion and processing pipelines using Python, Data bricks, Snow SQL
  • Excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies
  • Excellent presentation and communication skills, both written and verbal, ability to problem solve and design in an environment with unclear requirements.

 

It would be great if you also had:

  • Detail-oriented, ability to turn deliverables around quickly with a high degree of accuracy
  • Strong analytical skills, ability to interpret business requirements and produce functional and technical design documents.
  • Good time management skills – Ability to prioritize and multi-task, handling multiple efforts at once.
  • Strong desire to understand and learn domain.
  • Experience in a financial services/banking industry
  • Ability to work in a fast-paced environment; to be flexible and learn quickly.
  • Ability to multi-task with attention to detail/ prioritize tasks.

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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: 91126058
  • Position Id: 9001627
  • Posted 14 hours ago
Contact the job poster
NM

Nagavendar Molugu

Recruiter @ Prohires
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