Senior Data Engineer Jobs
By Info Way Solutions At Mountain View, CA, United States
Solid understanding of Sparkincluding performance tuning.
Solid understanding of the AWS Platform
Ability to work with Business and technical stake holders independently with minimal guidance- Must have
Strong written and verbal communication and ability to articulate datawith the business stake holders - Must have
Location: Mountain View, California (Hybrid, 2 days a week onsite)
Data Senior Engineer Jobs
By City National Bank At Los Angeles, CA, United States
Highly developed organizational and time management skills.
Identify development and data quality issues and work with senior team members and management to mitigate
Accurately define and execute transformations, aggregations and other data manipulations to meet requirements
Bachelor's Degree or equivalent experience
6+ years of relevant experience in the following:
Advanced senior professional with wide ranging experience uses professional concepts and to resolve complex issues in creative and effective ways
Senior Data Engineer Jobs
By Robert Half At Westwood, CA, United States

Description **** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send an email to Jimmy.Escobar@roberthalf(.com) with your resume. You can also call my ...

Senior Data Engineer Jobs
By Motion Recruitment At San Diego, CA, United States
4+ years of experience in data engineering
Experience in SQL & SQL Databases
Bonus (discretionary, depends on cand & experience)
Exp. building out highly scalable systems
Exp. in developing messaging and microservices systems
Exp. working with Software Development Kits and Web Services
Senior Data Engineer Jobs
By DocuSign At , San Francisco, 94105, Ca $123,700 - $174,700 a year
Organizational and time management skills, with the ability to prioritize tasks and meet deadlines
Collaborate with business, engineering, and data science teams to understand their data needs and design efficient solutions to support their requirements
Bachelor’s Degree in Computer Science, Data Analytics, Information Systems, relevant field or equivalent work experience
8+ years of relevant experience
5+ years of dimensional and relational data modeling experience
Experience with modern data integration and transformation tools such as Fivetran, Dbt, and Matillion
Senior Data Engineer Jobs
By Clarify Health Solutions At San Francisco, CA, United States
5+ years of hand-on experience developing big data pipelines
Expert-level Python and SQL knowledge
2+ years of experience working with distributed data processing frameworks - Spark preferred
Practical knowledge of AWS services such as EMR, S3, Athena
Strong programming and algorithmic skills
Flexible Spending Accounts and Commuter Benefits
System Modeling Engineer Jobs
By DeepRoute.ai At Fremont, CA, United States
BS in Computer Science/Computer Engineering or equivalent experience/skills
Collaborate with algorithms and software development teams to drive product requirements and functional specifications
Strong c/c++ programming, SystemC and scripting skills
Strong analytical skills to extract meaning from collected metrics
Excellent communication skills for cross-functional collaboration
Experience dealing with large data sets and data visualization
Data Scientist, Charging Data And Modeling
By Tesla At Palo Alto, CA, United States
Experience with time series data
Strong programming skills with a solid foundation in data structures and algorithms
Experience with experiment design and causal inference methods
Experience with Spark, Hadoop, and streaming data
Experience in an agile working environment
Experience working in a global team
Senior Data Engineer Jobs
By Reebelo At San Francisco Bay Area, United States
5+ years of experience in data engineering
Strong experience in pioneering, scaling, and optimizing data pipelines, data storage, large-scale data processing/analytics platform, dashboards
Proven experience in version control and CI/CD tools
In-depth, hands-on experience in AWS cloud infrastructure
Excellent verbal and written communications skills
Building and maintaining data pipelines to ensure correct data is transferred across platforms

Are you an experienced Data Modeling Engineer looking for an exciting new challenge? We are looking for a Senior Data Modeling Engineer to join our team and help us develop innovative solutions to complex data problems. You will be responsible for designing and developing data models to support our business objectives, and will have the opportunity to work with cutting-edge technologies. If you have a passion for data and a drive to make a difference, this could be the perfect job for you!

What is Senior Data Modeling Engineer Skill Requirements?

• Expertise in data modeling techniques and methodologies
• Proficiency in SQL and database design
• Knowledge of data warehousing, ETL, and data governance
• Ability to work with large and complex datasets
• Excellent problem-solving and analytical skills
• Ability to communicate effectively with technical and non-technical stakeholders

What is Senior Data Modeling Engineer Qualifications?

• Bachelor’s degree in Computer Science, Information Systems, or related field
• 5+ years of experience in data modeling
• Experience with data warehouse design and implementation
• Experience with data visualization tools
• Experience with data governance and data quality

What is Senior Data Modeling Engineer Knowledge?

• Knowledge of data modeling best practices
• Knowledge of data warehousing and ETL processes
• Knowledge of data governance and data quality
• Knowledge of data visualization tools
• Knowledge of SQL and database design

What is Senior Data Modeling Engineer Experience?

• 5+ years of experience in data modeling
• Experience with data warehouse design and implementation
• Experience with data visualization tools
• Experience with data governance and data quality

What is Senior Data Modeling Engineer Responsibilities?

• Design and develop data models to support business requirements
• Develop and maintain data warehouse structures
• Develop and maintain ETL processes
• Develop and maintain data quality