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SQL Developer

ShiftCode Analytics

United States
SQL Developer

You will lead and deliver technical solutions for large-scale digital transformation projects. Working with the latest data technologies in the industry, you will be instrumental in helping our clients evolve for a more digital future. Your Impact:

  • Combine your technical expertise and problem-solving passion to work closely with clients, turning complex ideas into end-to-end solutions that transform our client's business
  • Translate client's requirements to system design and develop a solution that delivers business value
  • Lead, designed, develop, and deliver large-scale data systems, data processing, and data transformation projects
  • Automate data platform operations and manage the post-production system and processes
  • Conduct technical feasibility assessments and provide project estimates for the design and development of the solution
  • Mentor, help and grow junior team members

Your Technical Skills & Experience:

  • Demonstrable experience in data platforms involving implementation of end to end data pipelines
  • Hands-on experience with at least one of the leading public cloud data platforms (Azure, AWS or Google Cloud)
  • Implementation experience with column-oriented database technologies (i.e., Big Query, Redshift, Vertica), NoSQL database technologies (i.e., DynamoDB, BigTable, Cosmos DB, etc.) and traditional database systems (i.e., SQL Server, Oracle, MySQL)
  • Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Azure Data Factory, Glue ETL, Lambda, Spark, Spark Streaming, etc.
  • Ability to handle module or track level responsibilities and contributing to tasks "hands-on"
  • Experience in data modeling, warehouse design and fact/dimension implementations
  • Experience working with code repositories and continuous integration
  • ETL Automation Pipeline experience
  • Data modeling, querying, and optimization for relational, NoSQL, timeseries, and graph databases and data warehouses and data lakes
  • Data processing programming using SQL, DBT, Python, and similar tools
  • Data ingest, validation, and enrichment pipeline design and implementation
  • Cloud-native data platform design with a focus on streaming and event-driven architectures
  • Test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworks
  • Bachelor's degree in Computer Science, Engineering or related field.
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Vacancy posted 3 days ago
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