Arch ยท 5 hours ago
Data Engineer Level III
Maximize your interview chances
Cloud InfrastructureSoftware
Growth OpportunitiesH1B Sponsor Likely
Insider Connection @Arch
Get 3x more responses when you reach out via email instead of LinkedIn.
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.
Required
Bachelor's degree or higher in Computer Science, Engineering, or a related field.
Prior experience working with Federal agencies, demonstrating a strong understanding of government processes, regulations, and standards.
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.
Preferred
designing on platforms such as Azure, AWS, and Google Cloud: 3 years
Federal: 1 year
DB such as Azure Data Lake, MS-SQL, Apache, and Teradata: 4 years
Company
Arch
Arch is a market provider of SAP usability software and delivering solutions to enhance the SAP user experience.
H1B Sponsorship
Arch has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (4)
2022 (3)
2021 (4)
2020 (4)
Funding
Current Stage
Early StageCompany data provided by crunchbase