Dice
Senior Data Engineer - Azure Synapse Analytics
Dice, Little Ferry, New Jersey, us, 07643
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RESPONSIBILITIES:Kforce has a client that is seeking a Senior Data Engineer - Azure Synapse Analytics in Dallas, TX.Specific Responsibilities:Senior Data Engineer will design, develop, and maintain robust data pipelines and infrastructure to support data integration, processing, and storage.Collaborate with analysts and other stakeholders to understand data requirements and translate them into technical solutions.Implement best practices for data governance, security, and quality assurance to ensure the reliability and accuracy of data.Explore and evaluate new technologies and tools to enhance our data infrastructure and capabilities.Design and implement complex data models on Azure Synapse Analytics to support data warehousing and big data solutions.Utilize Azure DevOps for continuous integration, continuous delivery, and agile project management.Manage and optimize Apache Spark pools for high-performance data processing tasks.As a Senior Data Engineer, you will develop and maintain ETL processes and data pipelines using Python scripting.Ensure data quality and integrity across all platforms and systems.Collaborate with cross-functional teams to translate business needs into technical specifications.Stay current with industry trends and advancements in Azure data services.REQUIREMENTS:Bachelor's degree in Computer Science, Data Engineering, or related field.5+ years of experience in data engineering with a proven track record in the Azure ecosystem; A strong focus on building and maintaining data pipelines and infrastructure.Experience with data modeling, warehousing, and building ETL pipelines.Expertise in Python scripting and other programming languages such as SQL and Java.Senior level knowledge of data modeling, processes, and data warehouse concepts.Knowledge of data security and privacy practices, especially in the healthcare industry.Familiarity with Azure Data Factory, Azure Data Lake Storage, and other Azure data services.Strong proficiency in Azure Synapse Analytics, Azure DevOps, and Apache Spark pools.Excellent problem-solving skills and ability to work independently and collaboratively in a fast-paced environment.Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholders.The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.This job is not eligible for bonuses, incentives or commissions.Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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RESPONSIBILITIES:Kforce has a client that is seeking a Senior Data Engineer - Azure Synapse Analytics in Dallas, TX.Specific Responsibilities:Senior Data Engineer will design, develop, and maintain robust data pipelines and infrastructure to support data integration, processing, and storage.Collaborate with analysts and other stakeholders to understand data requirements and translate them into technical solutions.Implement best practices for data governance, security, and quality assurance to ensure the reliability and accuracy of data.Explore and evaluate new technologies and tools to enhance our data infrastructure and capabilities.Design and implement complex data models on Azure Synapse Analytics to support data warehousing and big data solutions.Utilize Azure DevOps for continuous integration, continuous delivery, and agile project management.Manage and optimize Apache Spark pools for high-performance data processing tasks.As a Senior Data Engineer, you will develop and maintain ETL processes and data pipelines using Python scripting.Ensure data quality and integrity across all platforms and systems.Collaborate with cross-functional teams to translate business needs into technical specifications.Stay current with industry trends and advancements in Azure data services.REQUIREMENTS:Bachelor's degree in Computer Science, Data Engineering, or related field.5+ years of experience in data engineering with a proven track record in the Azure ecosystem; A strong focus on building and maintaining data pipelines and infrastructure.Experience with data modeling, warehousing, and building ETL pipelines.Expertise in Python scripting and other programming languages such as SQL and Java.Senior level knowledge of data modeling, processes, and data warehouse concepts.Knowledge of data security and privacy practices, especially in the healthcare industry.Familiarity with Azure Data Factory, Azure Data Lake Storage, and other Azure data services.Strong proficiency in Azure Synapse Analytics, Azure DevOps, and Apache Spark pools.Excellent problem-solving skills and ability to work independently and collaboratively in a fast-paced environment.Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholders.The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.This job is not eligible for bonuses, incentives or commissions.Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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