Summary
Driven Data is looking for a Senior Data Engineer to join our rapidly growing team. At Driven Data you will utilize cutting-edge technologies such as machine learning, artificial intelligence and big data in the Azure platform.
If you have ever wanted to be a part of a GREENFIELD development project - this is it!

You will have practical, hands-on experience working with modern data architectures and tools such as data warehousing, ETL/ELT, analytics, and the Azure cloud platform. You should be driven to provide quality solutions to challenging problems, working closely with client stakeholders, a highly skilled team of engineers, architects and thought leaders to design, build and implement next generation in automotive solutions in advanced analytics, Big Data, BI and the cloud.
Benefits
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Prescription drug coverage
  • Short/Long term disability leave
  • Life Insurance
  • Health Spending Account (HSA)
  • Flexible Paid Time Off Policy
  • Virtual Office Phone provided
Responsibilities
Responsibilities
  • Build enterprise-grade data solutions.
  • Implement data storage solutions.
  • Design , Manage and Develop data processing.
  • Design Azure data storage solutions.
  • Design databases to support business applications, ensuring system scalability, security, performance and reliability.
  • Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
  • Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
  • Develop data models for applications, metadata tables, views or related database structures.
  • Set up database clusters, backup, or recovery processes.
  • Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
  • Document and communicate database schemas, using accepted notations.
  • Identify, evaluate and recommend hardware or software technologies to achieve desired database performance.
  • Demonstrate database technical functionality, such as performance, security and reliability.
  • Develop load-balancing processes to eliminate down time for backup processes.
  • Plan and install upgrades of database management system software to enhance database performance.
What You Have:
  • Able to work, focus, and be productive in a virtual, remote environment.
  • Solid communication skills with both technical and non-technical stakeholders.
  • 5+ years of experience working with data and data analytics development within the Microsoft data platform.
  • Minimum 3 years of experience with ETL processes
  • SQL Server, Azure SQL Database, and Azure Synapse Analytics (Formerly SQL Data Warehouse)
  • Power BI
  • Analysis Services and DAX
  • SQL Server Reporting Services
  • SQL Server Integration Services
  • Azure Data Factory
  • Azure Data Lake Storage
  • Azure Databricks
  • PowerShell scripting
  • Azure Automation
Nice to Have:
  • Proven ability to prioritize, self-direct and execute at velocity.
  • Big Data technologies such as Hadoop or HDInsight, Hive, Pig, Python, Spark, Oozie, or any of the other tools.
  • Strong analytical and reasoning skills that result in clear technical execution.
  • Desire to learn new skills and grow competencies.

Requirements
Requirements
  • Authorized to work in the US without sponsorship
  • Must be able to work, focus, and be productive remotely and work Eastern Time zone hours
  • Able to work, focus, and be productive in a virtual, remote environment.
  • 5+ years of experience working with data and data analytics development within the Microsoft data platform.
  • Minimum 3 years of experience with ETL processes
    • Bachelor’s Degree in Computer Science or related IT field
  • Knowledge in: SQL Server
  • Knowledge in: Azure Data Factory
  • Knowledge in: Azure Databricks
Equal Opportunity Employer
Equal Opportunity Employer
Driven Data provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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