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Data Engineers Day One onsite
Must Have: SQL and Python
Note: Candidates should be willing to take online coding test in (SQL and python)
Menlo Park, CA, Austin, TX,
Day 1 Onsite Job
6-12 months duration
About the Role:
passionate Data Engineers who are looking to tackle challenges and build solutions.
We are looking for a Data Engineer to not only build data pipelines but also extend the next generation of our data tools. As a Data Engineer, you will develop a clear sense of connection with our organization and leadership - as Data Engineering is the eyes through which they see the product.
This is a partnership-heavy role. As a member of Infrastructure Strategy Data Engineering, you will belong to a centralized Data Science/Data Engineering team who partners closely with teams in the client’s Infrastructure organization. Through the consulting-nature of our team, you will contribute to a variety of projects and technologies, depending on partner needs. Projects include analytics, ML modeling, tooling, services, and more. The broad range of partners equates to a broad range of projects and deliverables: ML Models, datasets, measurements, services, tools and process.
Responsibilities
• Manage data warehouse plans for a business vertical or a group of business verticals.
• Build data expertise and own data quality for allocated areas of ownership.
• Design, build, optimize, launch, and support new and existing data models and analytical solutions.
• Partner with internal stakeholders to understand business requirements, work with cross-functional data and products teams and build efficient and scalable data solutions.
• Conduct design and code reviews.
• Work with data infrastructure to triage infra issues and drive to resolution.
• Manage the delivery of high impact dashboards, tools and data visualizations.
Minimum Qualifications:
• BS/B.Tech. /M. Tech in Computer Science, Math or related field
• 2+ years of experience in the data warehouse space, custom ETL design, implementation and maintenance
• 2+ years of experience in SQL or similar languages, and development experience in at least one language (Python, PHP etc.)
• Experience with data architecture, data modeling, schema design and software development
• Experience in leading data driven projects from definition through interpretation and execution.
• Experience with large data sets, Hadoop, and data visualization tools
• Experience initiating and driving projects and communicating data warehouse plans to internal clients/stakeholders.
Req; 8 Data Engineers
Must Have: SQL and Python
Note: Candidates should be willing to take online coding test in (SQL and python)
Menlo Park, CA, New York, NY, Austin, TX, Seattle, WA
Day 1 Onsite Job
6-12 months duration
About the Role:
passionate Data Engineers who are looking to tackle challenges and build solutions.
We are looking for a Data Engineer to not only build data pipelines but also extend the next generation of our data tools. As a Data Engineer, you will develop a clear sense of connection with our organization and leadership - as Data Engineering is the eyes through which they see the product.
This is a partnership-heavy role. As a member of Infrastructure Strategy Data Engineering, you will belong to a centralized Data Science/Data Engineering team who partners closely with teams in the client’s Infrastructure organization. Through the consulting-nature of our team, you will contribute to a variety of projects and technologies, depending on partner needs. Projects include analytics, ML modeling, tooling, services, and more. The broad range of partners equates to a broad range of projects and deliverables: ML Models, datasets, measurements, services, tools and process.
Responsibilities
• Manage data warehouse plans for a business vertical or a group of business verticals.
• Build data expertise and own data quality for allocated areas of ownership.
• Design, build, optimize, launch, and support new and existing data models and analytical solutions.
• Partner with internal stakeholders to understand business requirements, work with cross-functional data and products teams and build efficient and scalable data solutions.
• Conduct design and code reviews.
• Work with data infrastructure to triage infra issues and drive to resolution.
• Manage the delivery of high impact dashboards, tools and data visualizations.
Minimum Qualifications:
• BS/B.Tech. /M. Tech in Computer Science, Math or related field
• 2+ years of experience in the data warehouse space, custom ETL design, implementation and maintenance
• 2+ years of experience in SQL or similar languages, and development experience in at least one language (Python, PHP etc.)
• Experience with data architecture, data modeling, schema design and software development
• Experience in leading data driven projects from definition through interpretation and execution.
• Experience with large data sets, Hadoop, and data visualization tools
• Experience initiating and driving projects and communicating data warehouse plans to internal clients/stakeholders.