Data Engineer II

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $110k - $185k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Ocient

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $132k Venture Round on 2022-07

Consulting • Healthcare • Logistics

Ocient is a company that specializes in hyperscale data warehouse solutions. Their technology is designed to deliver real-time analytics and manage complex data sets efficiently. Ocient provides tailored solutions that can be deployed either in the cloud or on-premises, leveraging industry-standard hardware. They focus on offering high performance, energy-efficient solutions that are cost-effective and optimized for various industries such as AdTech, Telecom, Government, Financial Services, Operational IT, and Geospatial sectors. With a strong emphasis on security and compliance, their platform supports SQL workloads, data pipelines, and machine learning capabilities. Founded in 2016, Ocient strives to tackle large-scale data analytics challenges by providing end-to-end solutions and expert management services.

📋 Description

• Work with Solutions Architects to understand customer workloads and capture requirements through questionnaires and workshops • Obtain sample queries and data where possible • Convert customer queries to Ocient syntax using internal tools • Perform metadata analysis to understand field types, relationships, multi-dimensional elements, and changing schemas • Analyze queries in bulk to understand indexing schemes and refine schemas • Define initial schema designs for pre-pilot workload preparation • Load data, create workload test suites, and deploy end-to-end sample workloads for initial pre-pilot testing • Build test cases and validation assets for Delivery and Development teams • Create artifacts in GitHub and other repositories • Assist with system sizing, delivery timeline development, and GDPR and data rolloff procedure definition • Report performance results and status to management • Contribute to cross-functional workload documentation • Participate in video interviews with camera on for the duration of each session

🎯 Requirements

• 2+ years of experience in data engineering, database engineering, or a related technical role • Demonstrated SQL proficiency and data pipeline experience • Experience contributing to schema design, data loading, and workload testing in a data warehousing or analytics environment • Strong SQL proficiency, including writing, converting, and optimizing queries in large-scale analytical database environments • Working knowledge of schema design, indexing strategy, ETL/ELT processes, and data loading in relational or columnar database systems • Familiarity with metadata analysis, query bulk analysis, and workload performance testing • Ability to independently produce accurate technical documentation and engineering artifacts • Ability to collaborate cross-functionally with Solutions Architects, Delivery, and Engineering teams • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field is an exceptional-candidate qualification • Experience with Big Data platforms, distributed database systems, or cloud data warehousing (AWS Redshift, Google BigQuery, Snowflake, or comparable) is an exceptional-candidate qualification • Familiarity with GDPR data compliance, HA/DR requirements, or data governance processes is an exceptional-candidate qualification • Experience with GitHub or comparable version control and artifact repository tools is an exceptional-candidate qualification • US-based candidates only • Must be able to work without visa sponsorship or transfer

🏖️ Benefits

• Remote-first work arrangement • 100% remote work for US-based candidates • Video interviews conducted remotely

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