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Data Engineer

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
United States

Offer summary

Qualifications:

2-3+ years experience in data migration, Strong MS Azure Data & Analytics skills.

Key responsabilities:

  • Develop and design database architecture
  • Execute data migrations and transformations
  • Provide technical database consultation
  • Perform data profiling and mapping
  • Migrate ETL and SSIS packages to Synapse
Bitful Consulting logo
Bitful Consulting Startup https://www.bitful.com/
11 - 50 Employees
About Bitful Consulting
Bitful is a new kind of technology consulting firm: One that puts humans first. Together, we build future-proof, open, explorable data systems and perform cloud-computing marvels. We profoundly solve app challenges, and engineer game-changing digital products. And we do all of the above to create and fund opportunities for underserved communities who deserve to be every bit as supported, connected, and inspired as we are at Bitful. Better tech for the greater good: That’s Bitful.
See more Bitful Consulting offers

Job 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

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Azure Data LakeDatabase QueriesDatabase TuningInformatica PowercenterAzure Data Explorer (Kusto)PL/SQLAzure Data FactoryISQLAzure Synapse AnalyticsMicrosoft SQL ServersData WarehousingData ModelingETOM (Enhanced Telecom Operations Map)
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