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Bitful

Data Engineer

Reposted 5 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
The Data Engineer will develop and architect data solutions in Azure, manage data migrations, and consult on database administration while collaborating with various teams.
The summary above was generated by AI

Description
  • Work in an Azure data warehouse environment, which includes developing database designs and architecture, data modeling and metadata repository creation
  • Work with Architects, Technical Leads and Business Teams and contributes to the development of technical designs
  • Secure data migrations & transformations to/from clients, customers, and vendors
  • Provides technical database consultation on application development, global infrastructure, and other database administration efforts related to specific DBMS
  • Conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows
  • Migrate current ETL and SSIS packages to Synapse
Requirements
    • 2-3+ Years of proven experience performing large data migration and transformation efforts
    • Strong hands-on experience with Microsoft Azure Data & Analytics including Azure Synapse, Azure Data Factory, & Azure Data Lake Storage
    • Experience in writing complex SQL queries and creating data models
    • Experience or exposure to TSQL, SQL server, PL/SQL
    • Experience or exposure to Informatica PowerCenter, Star Schema, Snowflake Schema
    • Database performance tuning
    • Data warehouse and data mart experience
    • Strong knowledge of various data structures and the ability to extract data from various data sources (such as Cognos, Informatica, Hyperion, etc.)
Benefits
  • Education Assistance/Student Loan Repayment - up to $2400 annually
  • Remote work allowance
  • Internet reimbursement
  • Bench pay
  • Profit share
  • Healthcare reimbursement
  • 401k - 4% match
  • Short-Term disability
  • Long-Term disability
  • Life Insurance

Top Skills

Azure Data Factory
Azure Data Lake Storage
Azure Synapse
Informatica Powercenter
Pl/Sql
SQL
Tsql

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