Responsibilities

• Interface with internal business partners, program & product managers, understanding requirements and delivering vendor integrations.
• Add and maintain vendor library integrations for our site properties.
• Manage and maintain privacy components for our site properties.
• Adopt and define the standards and best practices in vendor integration/tag management including data integrity, validation, reliability, and documentation.
• Troubleshoot issues related to 3rd party vendor integrations.
• Analyze and solve problems at their root, stepping back to understand the broader context.
• Learn and understand GoDaddy’s revenue tracking platform and know when, how, and which to use and which not to use.
• Keep up to date with advances in technologies and run pilots to design reviews.
• Continually improve ongoing processes, automating or simplifying self-service support where possible.
• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.

Qualifications

• Strong JavaScript experience required.
• Good Node.JS experience required.
• 7+ years of front-end development experience with a focus on writing performant and optimized code required. Advance knowledge is preferred.
• Google and Social Ad Platform experience preferred.
• Experience working with browser inspector and performance tools is preferred.
• Strong organizational and multitasking skills with ability to balance competing priorities.
• Strong attention-to-detail and organizational skills.
• Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.

Apply HERE

Responsibilities

• Interface with our Business Analytics & data science teams, gathering requirements and delivering complete BI solutions.
• Mentor junior engineers.
• Model data and metadata to support discovery, ad-hoc and pre-built reporting.
• Design and implement data pipelines using cloud/on-premise technologies
• Own the design, development, and maintenance of datasets our BA teams will use to drive key business decisions.
• Develop and promote best practices in data engineering, including scalability, reusability, maintainability, and usability.
• Tune and ensure compute performance by optimizing queries, databases, files, tables, and processes.
• Analyze and solve problems at their root, stepping back to understand the broader context.
• Partner with a data platform team to establish SLAs and resolve any data/process issues.
• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.
• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.

  Qualifications

• Bachelor’s degree in CS or related technical field.
• 10+ years of experience in data architecture and business intelligence
• 3 + years of experience in developing solutions in distributed technologies such as Hadoop, hive and spark
• Experience in delivering end to end solutions using AWS services – S3, RDS, Kinesis, Glue, Redshift & EMR
• Expert in data modeling, metadata management, and data quality.
• SQL performance tuning.
• Strong organizational and multitasking skills with ability to balance competing priorities.
• Experience in programming using Python, Java or Scala
• Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
• An ability to work in a fast-paced environment where continuous innovation is occurring and ambiguity is the norm.
• Experience in SQL Server BI stack and with a  BI reporting tool
• Experience migrating from an on-prem to cloud data platform will be a plus

Apply HERE

Responsibilities:

• Work with data and analytics experts to strive for greater functionality in our data systems and can install Airflow from scratch and configure and maintain administer it.
• The engineer should be an independent guy and should keep up to date with the Airflow open-source community enhancements. He should work with other team members and communicate on planning to make sure nothing gets impacted because of the installation or configuration of Airflow
• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Work with stakeholders including the Product, Data and Analytic teams to assist with data-related technical issues and support their data infrastructure needs.
• Implement CI/CD pipelines

Requirements:

• Experience with building data pipelines using EC2, EMR, RDS, Redshift, Spark, Python

• Understands data and ability to discuss with analysts and translate to material that data engineers can easily understand
• Understands and ability to develop data models for traditional relational and distributed technologies
• Experience with SQL and AWS
• Experience with engineering process (SDLC, data eng cycle, DataOps, DevOps)
• Effective in driving meetings, discussions
• Good project planning, execution skills

Apply HERE

Responsibilities:

• Drive efficiency, effectiveness and results!!!
• Create epics/stories/requirements so that the developers can act on; Maintain the backlog
• Plan and execute large projects and fit it into incremental delivery model
• Run scrum ceremonies (grooming, planning, standups and retros)
• Run requirements, design and code reviews
• Partner will analytics and other technology teams
• Be responsible for deliverables
• Contribute to prioritization, architectural decisions, approach selection and data modelling activities
• Evangelize the data stack and solutions delivered across analytic partners
• Manage relationships with stake holders, understand the requirements, prepare roadmap and set expectations
• Provide operational metrics
• Provide metrics on team performance (velocity etc.)

Requirements:

• Experience with Data Solutions using Hive, Spark, S3, EMR, Airflow, Python
• Understands data and ability to discuss with analysts and translate to material that data engineers can easily understand
• Understands and ability to develop data models for traditional relational and distributed technologies
• Experience with Rest APIs and strong SQL
• Experience with engineering process (SDLC, data eng cycle, DataOps, DevOps)
• Effective in driving meetings, discussions
• Good project planning, execution skills

Apply HERE