Senior Azure Data Engineer
Hybrid in Dallas (3 days per week in office)
5 years with MS SQL, T-SQL, and Azure experience is required
Responsibilities:
Design, develop, enhance, code, test, deliver and debug solutions
Implement large, complex stories spanning multiple technology domains
Participate in requirement gathering and design sessions
Participate in code reviews, maintain code quality, introduce and enforce development standards
Develop deliverables and meet project deadlines
Identify and communicate technical trends and/or emerging technology
Participating in all sprint ceremonies (Refinement, Planning, Daily Standup and Retrospective)
Participate in pair programming, Knowledge sharing, brown bag sessions
Qualifications:
5 or more years of relevant software development experience required
5 or more years of in-depth experience with MS SQL Server and T-SQL is required
Experience with ETL tools such as SSIS and Azure Data Factory required
Experience with Data Engineering such as Databricks is required
Experience with understanding and developing data lake/delta lake eco systems is required
Experience with working with large volumes of data – millions of records
Experience building and using CI/CD pipelines
Experience with IaC technologies (Terraform, Pulumi)
Experience with reporting tool such. Prefer Power BI or Tableau
Experience working in an Agile based development environment is required
Strong written and verbal communication skills
Education:
Relevant degree preferred. Bachelor's degree in computer science or engineering highly preferred