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Cloud Data Consultant (Azure/AWS)

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 Cloud Data Consultant with Azure or AWS. 

As a Data Consultant, 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 or AWS Big data services, SQL reports optimization, data flows, and troubleshooting are another significant part of our day-to-day responsibilities. Our software solutions tackle specific tech challenges across several industries. While our roots are in education, nearly half of our current projects are focused on healthcare. We also innovate in finance, real estate, commerce, IoT, and others.

As a top engineering employer, run by engineers, MentorMate provides challenging careers in a friendly, people-oriented environment. We value our employees and share our success through competitive pay and benefits, advancement opportunities, and flexible working models.

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) OR AWS Big Data services (Redshift, Kinesis, Glue DataBrew, Glue, MSK, EMR, Athena, Quicksight, S3, Lake Formation, SageMaker, DMS)
  • 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 English both written and verbal
A significant advantage would be any experience with
  • Experience in ETL tools like Airflow, Talend, Matillion, Informatica, ODI, SSIS
  • Usage of Big Data technologies such as Hadoop/ Databricks/ Spark
  • Oracle, MS SQL Server, MySQL, PostgreSQL, Snowflake
  • Design and implement 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
  • Full - time
Location
  • Sofia
  • Plovdiv
  • Bulgaria Remote
  • Varna
  • Veliko Tarnovo
  • Ruse
Apply now
Posting Summary
Job role
  • Engineering & Technology
  • Data Engineering
Experience Level
  • Regular
Employment Type
  • Full - time
Location
  • Sofia
  • Remote
  • Plovdiv
  • Bulgaria Remote
  • Bulgaria
  • Varna
  • Veliko Tarnovo
  • Ruse
Apply now
We offer
  • Professional Growth
    Clear career path, meaningful projects, tech innovations.
  • Regular Salary Raises
    Following the curve of your career path and performance.
  • Work Where You Want
    Choose to work remotely, in-office, or a combination of the two.
  • Upskilling
    Various trainings, knowledge sharing events, personal learning budget.
  • Incentive Programs
    Rewards for referring employees, sharing knowledge, and more.
  • Additional Insurance
    Attractive health and dental insurance packages.
  • Extra Days Off
    The longer you work with us, the more paid leave you get.
  • Transport & Leisure
    Partial coverage of transport costs, sports passes, takeaway food.
  • Save for the Future
    Set a retirement plan or start an investment program.
  • Teambuilding
    Enjoy team gatherings and communities of interest.
  • Giving to Others
    Take part in various charity and volunteer activities.
  • Mental Wellness
    Support with a counseling package if needed.
Career Path
We strive to provide everyone working at MentorMate with plenty of opportunities to further their career. In fact, we have an entire team dedicated to learning and development to do exactly that. To further aid in individual career growth, we developed the MentorMate Career Path to serve as a roadmap for the professional development of each team member. Moreover, it provides information about the technical and soft skill requirements for upskilling and taking the future steps of the individual professional journey within the company. The Career Path provides opportunities for people to determine their own goals based on how they want to grow and serves as a foundation and reference point for career discussions. It also cultivates a culture of proactiveness regarding personal career growth.

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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