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Azure Data Consultant – Contractor

A custom development company, MentorMate is a design and software powerhouse with mature and established practices in Enterprise Web & Mobile Development, Technical Architecture, Human-Centered Design, Cloud & DevOps, Advanced Data Мanagement & Analytics. For our Data & Analytics Center of Excellence (DCOE), we are looking to hire an Azure Data Consultant. 

As an Azure Data Consultant in DCOE, your primary goal will be to offer non-standard solutions and unlock the potential of our clients. Through expert-level data management and analysis, the DCOE team facilitates resource management, database migration to new engine types, data unification, and company mergers. Usage of the Azure Big data services, SQL reports optimization, data flows, and troubleshooting are other significant parts of our day-to-day responsibilities. 

Responsibilities
  • Align architecture with business requirements
  • Analyze, re-architect, and re-platform data warehouses
  • Develop, construct, test, and maintain data pipelines for multiple analytics functions
  • Identify ways to improve data reliability, efficiency, and quality
  • Troubleshoot and resolve complex issues
  • Prepare data for predictive and prescriptive modeling as well as for classic BI analytics
  • Mentor and train colleagues when necessary by helping them learn and improve their skills, as well as innovate and iterate on best practices
Requirements
  • 3+ years of experience in Azure Big Data services (Synapse Analytics, Databricks, Azure Data Factory, Azure Machine Learning, Azure Stream Analytics, Data Lake Analytics, Azure Database, Azure Cosmos DB, HDInsight) 
  • 5+ years of experience in data engineering, software engineering, or other related roles
  • 5+ years of experience with ETL, data modeling, and data architecture
  • Strong experience in one or more of the following: SQL/ Python/ Scala
  • Strong experience in generating data pipelines from multiple data sources in collaboration with diverse team members
  • Experience in operating very large data warehouses or data lakes
  • Understanding of software development best practices, including query optimization, version control, code reviews, and documentation
  • Experience with building data pipelines and applications to stream and process large datasets at low latencies
  • Ability and desire to learn new languages and technologies
  • Attention to detail and strong documentation skills
  • Fluent in English, both written and verbal
A significant advantage would be any experience with
  • Databricks
  • ETL tools like Airflow, Talend, Matillion, Informatica, ODI, SSIS
  • Using of Big Data technologies such as Hadoop/ Databricks/ Spark
  • Oracle, MS SQL Server, MySQL, PostgreSQL, Snowflake
  • Designing and implementing batch and stream data processing pipelines
  • Certification of SQL, PL/SQL, T-SQL
  • Azure Certification
Posting Summary
Job role
  • Engineering & Technology
  • Data Engineering
Experience Level
  • Regular
Employment Type
  • Contractor
Location
  • Bulgaria Remote
  • Global Remote
Apply now
Posting Summary
Job role
  • Engineering & Technology
  • Data Engineering
Experience Level
  • Regular
Employment Type
  • Contractor
Location
  • Remote
  • Bulgaria Remote
  • Global Remote
Apply now
We offer
  • Remote Work Model
    Freedom to be based anywhere in the world.
  • Global Tech Community
    Work in a global team using the latest technologies.
  • Exciting Career Prospects
    Enterprise projects that set standards and save lives.
  • Competitive Pay
    Feel satisfied with the negotiated terms.
  • No Intermediaries
    Direct communication with our teams.
  • Personal Assistance
    Support with administrative, financial, etc. issues.

Let’s Work Together

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United States
MentorMate1350 Lagoon Ave, Suite 800
Minneapolis
, MN 55408

+1 612 823 4000
Bulgaria
67 Prof. Tsvetan Lazarov Blvd.
Sofia 1592, Bulgaria,
+359 2 862 2632
Sweden
Drottninggatan 29
411 14 Göteborg

+46 3 199 0180
Paraguay
Carlos M. Gimenez 4855
Asunción, Paraguay

+595 21 327 9463

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