Azure Data Engineer

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Snow Flake Schema
MPP
Cloud Computing
Database Design
Data Warehouse
Microsoft Azure
Data Lake
Health Care
Open Source
RDBMS
PostgreSQL
Object-Oriented Programming
PHP
Continuous Integration and Development
Continuous Integration
Jenkins
Agile
SQL
Shell Scripting
Python
Communication
Requirements Elicitation
Modeling
Management
Migration
Quality Assurance
Extract
Transform
Load
Publishing
Database
Data Structure
Optimization
Data Analysis
Database Administration
Software Development
GitHub
Change Control
SANS
Data Processing

Job Details

W2 Only

for W2 Candidates

Skills: Snowflake, DBT, Python, Azure

  • Overall, 10-12 years' experience as Data Engineer on the Microsoft Azure cloud platform
  • Snowflake (Columnar MPP Cloud data warehouse), DBT (ETL tool), Python
  • Deep experience with SQL, database design, optimization, and tuning
  • Experience designing and implementing Data Warehouse
  • Strong understanding of Azure services and expertise on Data Lake, Data Factory and Data Bricks
  • Healthcare industry experience preferred
  • Experience with open-source relational database (e.g. PostgreSQL, MSSQL, etc.)
  • Experience in Shell Scripting and one other object-oriented language such as Python, or PhP.
  • Strong experience in continuous integration and development methodologies tools such as Jenkins, and experience using GitHub.
  • Experience in an Agile development environment
  • Programming skills particularly SQL, Shell Scripting, and Python
  • Good oral and written communication skills

Responsibilities:

  • Managing data activities such as data requirements gathering, data analysis/modelling, and data issues resolution using standard approved technology
  • Managing standardization, migration, transformation, validation, and quality assurance of data within multi-database platforms
  • Leveraging internal and external ETL tools for data processing and publishing
  • Identifying and maintaining company databases, including data sources, data structures, data organization, and data optimization
  • Identifying complex issues proactively and is responsible to see them through resolution, including identifying trends through data analysis and manipulation.
  • Specific client data life cycles from discovery to implementation to maintenance
  • Formulating and monitors policies, procedures, and standards relating to database management
  • Responding to production defects and relaying information back to the Operations Manager to communicate with clients.
  • Contributing to all phases of the data and software development lifecycle when needed
  • Creating and maintaining code through GitHub repository for change control
  • Supporting off hours data processing and emergency requests

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