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W2 Position :: MS Azure Developer / Lead (Min of 12 years of exp.) at Dallas, TX (Onsite, 5 Days a Week)

  • Full Time, onsite
  • Bitsoft International, Inc.
  • On Site, United States of America
Salary undisclosed

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MS Azure Developer / Lead (Min of 12 years of exp.)

6+Months

Dallas, TX (Onsite, 5 Days a Week)

Essential Criteria (Incomplete applications without these will be rejected):
- Minimum of 12 years in software development with a strong emphasis on database-driven applications.
- Over 4 years of active development work with a range of NoSQL databases (Examples: Cosmos DB, MongoDB, Cassandra, or equivalents).

Core Competencies:
- High proficiency in architectural design and operations of OLTP systems, particularly working with NoSQL databases (e.g., Cosmos DB) and, to a lesser extent, conventional Relational DBs (e.g., Azure SQL, MS SQL Server).
- Proficient in creating efficient data processing pipelines using streaming technologies for real-time data (e.g., Apache Kafka, Azure Event Hub, AWS Kinesis).
- At least 1 year of experience directly engaging with Azure Cosmos DB development tasks.
- Minimum 2 years of significant involvement in projects using event-driven streaming platforms (e.g., Apache Kafka or Azure Event Hub).
- Detailed understanding and application of data modeling and design principles, both for NoSQL and Relational DBs.
- Solid background working with RDBMS, especially MS SQL Server and Azure SQL, with capability to write and optimize advanced SQL queries (e.g., T-SQL, PL/SQL) for systems handling large volumes of transactions.
- A deep knowledge of SQL database engine mechanics to guide database design and tuning for optimal performance.
- A track record of developing and maintaining scalable and fail-safe systems on cloud infrastructure, particularly Azure or AWS.
- Proven ability in grasping complex business requirements and delivering appropriately designed technical solutions.
- Experience in a DevOps context, using tools like Azure DevOps, Microsoft Visual Studio Team Services, Chef, Puppet, or Terraform.
- Skills in managing both structured and semi-structured data configurations, such as JSON/XML, and in the normalization of datasets.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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