Vacancy expired!
- If selected, there might be a background check that includes a drug screen (usually 4-panel-excluding marijuana) and sometimes credit checks for financial clients.
- Most companies might also have a vaccine mandate, so once hired, we (or the client) will ask for proof of vaccination if required. If you are not vaccinated, we/they might ask you to work with them on a religious or medical exemption if necessary.
- Create and maintain optimal data pipeline architectures.
- Assemble large, complex data sets that meet functional and non-functional business requirements.
- Design and develop solutions for the extraction, transformation, and loading of data from a wide variety of data sources.
- Support our analytics tool infrastructures that utilize our data pipelines to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders across many levels of the organization to assist with data-related technical issues and support their data infrastructure needs.
- Work with data scientists and analytics experts to strive for greater functionality in our data systems.
- Applicants must be either a U.S. citizen, U.S. national, legal permanent resident, asylee, refugee or must be eligible to apply for and obtain the appropriate export control license from the U.S. Departments of State or Commerce.
- 5+ years of experience in a Data Engineer role with a Bachelor’s degree in Computer Science.
- Experience using the following:
- Microsoft SQL Server, T-SQL
- Microsoft Visual Studio, .NET, C#
- Developer tools such as Azure DevOps, Visual Studio TFS, Github etc.\
- Practical understanding of the Data Modeling (Dimensional & Relational) concepts like Star-Schema Modeling, Snowflake Schema Modeling, Fact and Dimension tables.
- Excellent understanding of T-SQL programming and Microsoft SQL Server.
- Proficient in Microsoft C#, with a good knowledge of its ecosystems.
- Experience developing software using object-oriented programming techniques.
- Understanding fundamental design principles behind a scalable solution.
- Knack for writing clean, readable C# code.
- Experience building and optimizing data pipelines, architectures, and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- Familiarity with application security and defensive coding skills.
- Debugging skills; able to debug complex technical issues involving multiple system components.
- Name:
- Best Contact Info:
- Your Linked In:
- Where do you live and your desired geographical location:
- Why looking for a new job:
- Availability for interviews and a new job:
- Willing to work 100% on-site or hybrid:
- Are you open to relocation if required:
- Do you have an active passport if needed for the job:
- Are you open to travel if needed:
- Are you authorized to work in the US (Please indicate US, , or Other):
- Salary Expectations: (We need a range) $
- Sizes of staff overseen and their titles: (include # of direct reports)
- Budgetary Responsibility: $
- Education/Certs/Degrees: (also indicate which certs are active)
- Who Referred You/ How Did You Hear About Job/ DKKD Staffing:
- Applicants must be either a U.S. citizen, U.S. national, legal permanent resident, asylee, refugee or must be eligible to apply for and obtain the appropriate export control license from the U.S. Departments of State or Commerce:
- 5+ years of experience in a Data Engineer role with a Bachelor’s degree in Computer Science:
- Experience using the following:
- Microsoft SQL Server, T-SQL:
- Microsoft Visual Studio, .NET, C#:
- Developer tools such as Azure DevOps, Visual Studio TFS, Github etc.:
- Practical understanding of the Data Modeling (Dimensional & Relational) concepts like Star-Schema Modeling, Snowflake Schema Modeling, Fact and Dimension tables:
- Excellent understanding of T-SQL programming and Microsoft SQL Server:
- Proficient in Microsoft C#, with a good knowledge of its ecosystems:
- Experience developing software using object-oriented programming techniques:
- Understanding fundamental design principles behind a scalable solution:
- Knack for writing clean, readable C# code:
- Experience building and optimizing data pipelines, architectures, and data sets:
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement:
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management:
- Familiarity with application security and defensive coding skills:
- Debugging skills; able to debug complex technical issues involving multiple system components:
Vacancy expired!