Unified Business Technologies (UBT), Inc.
Data Engineer
Unified Business Technologies (UBT), Inc., Little Ferry, New Jersey, us, 07643
Description Seeking a Data Engineer with strong background designing, implementing, and optimizing data pipelines, including building data pipelines from scratch. High proficiency developing complex data processing solutions in a SQL Server / Azure SQL Server environment is required.
Duties And Responsibilities
Design, develop, and optimize end-to-end data pipelines utilizing ETL processes, ensuring scalability, reliability, and high-performance.Perform data cleansing, data integration, and data QA/QC activities to maintain the accuracy and integrity of large datasets.Identify, design, and implement data processing improvements, such as automating manual processes, optimizing data delivery, enhancing process performance, etc.Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.Provide technical expertise in code analysis, debugging, and troubleshooting.Ensure that all deliverables developed are high quality, thoroughly tested, and appropriately documented, including conducting comprehensive functional testing.Work with team to keep standard procedures, how-to guides, and other team documentation current.Required Qualifications
5+ years of data engineering experience, including design and implementation of ETL processes to establish and improve data pipelines.5+ years of experience with data processing in Microsoft SQL Server / Azure SQL databases, including high proficiency in writing efficient SQL queries, stored procedures, functions, etc. for complex data tasks.3+ years programming data solutions, including development using .NET (C#), Python, and Java or Scala.Demonstrated understanding of database and schema design principles, data integrity, and data governance practices.Strong problem-solving skills and ability to troubleshoot/solve complex data-related issues.Experience using version control system such as Git.Bachelor’s Degree, preferably in a quantitative discipline such as Computer Science, Software Engineering, or Mathematics.Ability to obtain a DoD SECRET clearance.Desired Qualifications
Experience with statistical software and data analysis tools, such as R.Experience with data analytics engines, such as Apache Spark.Experience developing solutions using Azure data processing services, such as Azure Data Factory, Synapse Analytics, Stream Analytics, and/or Databricks.Experience in development of Department of Defense enterprise applications.
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Duties And Responsibilities
Design, develop, and optimize end-to-end data pipelines utilizing ETL processes, ensuring scalability, reliability, and high-performance.Perform data cleansing, data integration, and data QA/QC activities to maintain the accuracy and integrity of large datasets.Identify, design, and implement data processing improvements, such as automating manual processes, optimizing data delivery, enhancing process performance, etc.Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.Provide technical expertise in code analysis, debugging, and troubleshooting.Ensure that all deliverables developed are high quality, thoroughly tested, and appropriately documented, including conducting comprehensive functional testing.Work with team to keep standard procedures, how-to guides, and other team documentation current.Required Qualifications
5+ years of data engineering experience, including design and implementation of ETL processes to establish and improve data pipelines.5+ years of experience with data processing in Microsoft SQL Server / Azure SQL databases, including high proficiency in writing efficient SQL queries, stored procedures, functions, etc. for complex data tasks.3+ years programming data solutions, including development using .NET (C#), Python, and Java or Scala.Demonstrated understanding of database and schema design principles, data integrity, and data governance practices.Strong problem-solving skills and ability to troubleshoot/solve complex data-related issues.Experience using version control system such as Git.Bachelor’s Degree, preferably in a quantitative discipline such as Computer Science, Software Engineering, or Mathematics.Ability to obtain a DoD SECRET clearance.Desired Qualifications
Experience with statistical software and data analysis tools, such as R.Experience with data analytics engines, such as Apache Spark.Experience developing solutions using Azure data processing services, such as Azure Data Factory, Synapse Analytics, Stream Analytics, and/or Databricks.Experience in development of Department of Defense enterprise applications.
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