Sr. Data Engineer @ Arch | Jobright.ai
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Arch ยท 2 days ago

Sr. Data Engineer

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Responsibilities

Design, develop, and deploy robust and scalable data pipelines on cloud platforms including Azure, AWS, and Google Cloud.
Collaborate closely with data architects, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions.
Utilize programming languages such as Python, Java, and Scala to implement ETL processes, data transformations, and data integration workflows.
Build and maintain data warehouses, data lakes, and other data storage solutions using databases including Azure Data Lake, MS-SQL, Apache, and Teradata.
Implement data governance, security, and compliance measures to ensure the integrity and confidentiality of data assets.
Optimize data processing and storage for performance, scalability, and cost-effectiveness.
Monitor and troubleshoot data pipelines, identifying and resolving issues to ensure data availability and reliability.
Collaborate with cross-functional teams to implement best practices for data engineering and contribute to the continuous improvement of data infrastructure and processes.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Cloud Platforms AzureCloud Platforms AWSCloud Platforms Google CloudPythonJavaScalaDatabases Azure Data LakeDatabases MS-SQLDatabases ApacheDatabases TeradataETL ToolsData ModelingData WarehousingBig Data TechnologiesData GovernanceSecurityCompliance StandardsData ExtractionData TransformationData LoadingData LakesETL TechniquesFederal Experience (5 years)Data Engineer Experience (6 years)Problem-SolvingAttention to DetailCommunicationCollaborationTeamworkAWS

Required

Bachelor's degree or higher in Computer Science, Engineering, or a related field.
Proven experience in designing and implementing data pipelines and infrastructure on cloud platforms such as Azure, AWS, and Google Cloud.
Proficiency in programming languages including Python, Java, and Scala.
Strong understanding of databases such as Azure Data Lake, MS-SQL, Apache, and Teradata.
Experience with ETL tools and techniques for data extraction, transformation, and loading.
Familiarity with data modeling concepts and techniques.
Knowledge of data warehousing, data lakes, and big data technologies.
Experience with data governance, security, and compliance standards.
Strong analytical and problem-solving skills with attention to detail.
Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Federal: 5 years (Required)
Data Engineer: 6 years (Required)

Preferred

Proficiency in AWS and Cloud
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Company

Arch

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Arch is a market provider of SAP usability software and delivering solutions to enhance the SAP user experience.

Funding

Current Stage
Early Stage
Company data provided by crunchbase
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Orion

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