Saxon Global
Sr. Data Engineer
Saxon Global, Phoenix, Arizona, United States, 85003
The
Senior Data Engineer
is responsible for processing structured and unstructured data, validating data quality, and developing and supporting data products. The Senior Data Engineer also plays a role in Agile planning, providing advice and guidance, and monitoring emerging technologies.KEY RESPONSIBILITIES:Process Structured and Unstructured Data
Gathers and processes raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.Understands and enforces appropriate data master management techniques.Data Validation and Quality
Ensures data quality and implements tools and frameworks for automating the identification of data quality issues.Work with internal and external data providers on data validation providing feedback and making customized changes to data feeds and data mappings.Agile Planning
Understands the challenges that the analytics organization faces in their day-to-day work and partner with them to design viable data solutions.Recommends improvements to processes, technology, and interfaces that improve the effectiveness of the team and reduce technical debt.Product Development
Implements and optimizes data solutions in enterprise data warehouses and big data repositories.Installs, maintains, monitors, and supports business intelligence, distributed computation, and big data analytics tools.Application Support
Provides ongoing support, monitoring, and maintenance of deployed products.Advice and Guidance
Actively works with less experienced data engineers providing technical guidance and oversight.Emerging Technology Monitoring
Actively participates in the engineering community, staying up to date on new data technologies and best practices and shares insights with others in the organization.QUALIFICATIONS:
Bachelor's degree in Computer Science or related field and 4+ years experience OR MS w/ 2+ years experience OR 8 years experience of equivalent combination of industry related professional experience and education.Working experience with batch and real-time data processing frameworksWorking experience with data modelling, data access, schemas, and data storage techniques within
SnowflakeWorking experience in design, development, and implementation of highly scalable, high-volume software systems and components, client-facing web applications, and major Internet-oriented applications and systemsWorking experience working with relational databases such as
SQL, MySQL, Postgres/PostgreSQLWorking experience with business intelligence tools and platformsWorking experience with data quality toolsWorking experience with application lifecycle methodologies (e.g. waterfall, agile, iterative)Experience with
ETL processes and toolsExperience working with GitPREFERRED QUALIFICATIONS:
Scrum Developer Certification or equivalentWorking experience with Sisense platformWorking experience with SQL Server Integration ServicesWorking experience with AWS data tools (Database Migration Service)Working experience with PythonExperience working with Jira, Rally or similar tools
Required Skills : • Bachelor's degree in Computer Science or related field and 8-10 years working experience • Working experience with batch and real-time data processing frameworks • Working experience with data modelling, data access, schemas, and data storage techniques within Snowflake • Working experience in design, development, and implementation of highly scalable, high-volume software systems and components, client-facing web applications, and major Internet-oriented applications and systems • Working experience working with relational databases such as SQL, MySQL, Postgres/PostgreSQL • Working experience with business intelligence tools and platforms • Working experience with data quality tools • Working experience with application lifecycle methodologies (e.g. waterfall, agile, iterative) • Experience with ETL processes and tools • Experience working with GitBasic Qualification :Additional Skills :Background Check :YesDrug Screen :YesNotes :Selling points for candidate :Project Verification Info :Candidate must be your W2 Employee :NoExclusive to Apex :YesFace to face interview required :NoCandidate must be local :NoCandidate must be authorized to work without sponsorship :YesInterview times set :YesType of project :Development/EngineeringMaster Job Title :Engineer: Other (Non-IT/Non-Telecom)Branch Code :Phoenix
Senior Data Engineer
is responsible for processing structured and unstructured data, validating data quality, and developing and supporting data products. The Senior Data Engineer also plays a role in Agile planning, providing advice and guidance, and monitoring emerging technologies.KEY RESPONSIBILITIES:Process Structured and Unstructured Data
Gathers and processes raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.Understands and enforces appropriate data master management techniques.Data Validation and Quality
Ensures data quality and implements tools and frameworks for automating the identification of data quality issues.Work with internal and external data providers on data validation providing feedback and making customized changes to data feeds and data mappings.Agile Planning
Understands the challenges that the analytics organization faces in their day-to-day work and partner with them to design viable data solutions.Recommends improvements to processes, technology, and interfaces that improve the effectiveness of the team and reduce technical debt.Product Development
Implements and optimizes data solutions in enterprise data warehouses and big data repositories.Installs, maintains, monitors, and supports business intelligence, distributed computation, and big data analytics tools.Application Support
Provides ongoing support, monitoring, and maintenance of deployed products.Advice and Guidance
Actively works with less experienced data engineers providing technical guidance and oversight.Emerging Technology Monitoring
Actively participates in the engineering community, staying up to date on new data technologies and best practices and shares insights with others in the organization.QUALIFICATIONS:
Bachelor's degree in Computer Science or related field and 4+ years experience OR MS w/ 2+ years experience OR 8 years experience of equivalent combination of industry related professional experience and education.Working experience with batch and real-time data processing frameworksWorking experience with data modelling, data access, schemas, and data storage techniques within
SnowflakeWorking experience in design, development, and implementation of highly scalable, high-volume software systems and components, client-facing web applications, and major Internet-oriented applications and systemsWorking experience working with relational databases such as
SQL, MySQL, Postgres/PostgreSQLWorking experience with business intelligence tools and platformsWorking experience with data quality toolsWorking experience with application lifecycle methodologies (e.g. waterfall, agile, iterative)Experience with
ETL processes and toolsExperience working with GitPREFERRED QUALIFICATIONS:
Scrum Developer Certification or equivalentWorking experience with Sisense platformWorking experience with SQL Server Integration ServicesWorking experience with AWS data tools (Database Migration Service)Working experience with PythonExperience working with Jira, Rally or similar tools
Required Skills : • Bachelor's degree in Computer Science or related field and 8-10 years working experience • Working experience with batch and real-time data processing frameworks • Working experience with data modelling, data access, schemas, and data storage techniques within Snowflake • Working experience in design, development, and implementation of highly scalable, high-volume software systems and components, client-facing web applications, and major Internet-oriented applications and systems • Working experience working with relational databases such as SQL, MySQL, Postgres/PostgreSQL • Working experience with business intelligence tools and platforms • Working experience with data quality tools • Working experience with application lifecycle methodologies (e.g. waterfall, agile, iterative) • Experience with ETL processes and tools • Experience working with GitBasic Qualification :Additional Skills :Background Check :YesDrug Screen :YesNotes :Selling points for candidate :Project Verification Info :Candidate must be your W2 Employee :NoExclusive to Apex :YesFace to face interview required :NoCandidate must be local :NoCandidate must be authorized to work without sponsorship :YesInterview times set :YesType of project :Development/EngineeringMaster Job Title :Engineer: Other (Non-IT/Non-Telecom)Branch Code :Phoenix