Address
Form of workPosition Summary...
What you'll do...
Data Strategy Requires knowledge of: Understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets. To understand, articulate, and apply principles of the defined strategy to routine business problems that involve a single function.
Data Source Identification Requires knowledge of: Functional business domain and scenarios; Categories of data and where it is held; Business data requirements; Database technologies and distributed datastores (e.g. SQL, NoSQL); Data Quality; Existing business systems and processes, including the key drivers and measures of success. To support the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data.
For R-1719393 (USA) Senior, Data Engineer
*Job Ad Starts*
As a "Senior Data Engineer", you should be able to technically help and assist team to steer through correct technical directions following the best practices. You will have deeper understanding of Data Engineering approaches along with hands on experience in building highly scalable solutions.
About Team: NewBets-Data Ventures
Our team creates reusable technologies to help with customer acquisition, onboarding, and empowering merchants, while ensuring a seamless experience for both stakeholders. We also optimize tariffs and assortment in accordance with Walmart's Everyday Low-Cost philosophy. We not only create affordability, but we also deliver customized experiences for customers across all channels - in-store, mobile app, and websites. Our team is responsible for providing support to US Marketplace sellers. We focus on providing immediate solutions to the cases/tickets created by sellers. We interact with multiple teams across the company to provide excellent seller experience.
What you'll do:
What you'll bring:
Must have
Nice to have
Data Modeling Requires knowledge of: Cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc. ; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques. To analyze complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models. Develops the Logical Data Model and Physical Data Models including data warehouse and data mart designs. Defines relational tables, primary and foreign keys, and stored procedures to create a data model structure. Evaluates existing data models and physical databases for variances and discrepancies. Develops efficient data flows. Analyzes data-related system integration challenges and proposes appropriate solutions. Creates training documentation and trains end-users on data modeling. Oversees the tasks of less experienced programmers and stipulates system troubleshooting supports.
Data Governance Requires knowledge of: Data value chains; Data processes and practices; Regulatory and ethical requirements around data; Data modeling, storage, integration, and warehousing; Data value chains (identification, ingestion, processing, storage, analysis, and utilization); Data quality framework and metrics; Regulatory and ethical requirements around data privacy, security, storage, retention, and documentation; Business implications on data usage; Data Strategy; Enterprise regulatory and ethical policies and strategies. To establish, modify, and document data governance projects and recommendations. Implements data governance practices in partnership with business stakeholders and peers. Interprets company and regulatory policies on data. Educates others on data governance processes, practices, policies, and guidelines. Provides recommendations on needed updates or inputs into data governance policies, practices, or guidelines.
Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.
Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities.
Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.
Live our ValuesCulture Champion• Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart's commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance.Servant Leadership• Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.Embrace ChangeCuriosity & Courage• Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.Digital Transformation & Change• Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.Deliver for the CustomerCustomer Focus• Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans.Strategic Thinking• Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy.Focus on our Associates
Diversity, Equity & Inclusion• Embraces diversity in all its forms and actively supports diversity of ideas and perspectives, as well as diversity goal programs.Collaboration & Influence• Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action.
Talent Management• Contributes to an environment allowing everyone to bring their best selves to work, demonstrates engagement and commitment to the team, and recognizes others' contributions and accomplishments.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in Computer Science and 3 years' experience in software engineering or related field. Option 2: 5 years' experience in
software engineering or related field. Option 3: Master's degree in Computer Science and 1 year's experience in software engineering or related
field.
2 years' experience in Data Engineering, database engineering, business intelligence, or business analytics.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master's degree in Computer Science or related field and 3 years' experience in software engineering
Primary Location...
603 MUNGER AVE STE 400, DALLAS, TX 75202, United States of America
What you'll do...
Data Strategy Requires knowledge of: Understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets. To understand, articulate, and apply principles of the defined strategy to routine business problems that involve a single function.
Data Source Identification Requires knowledge of: Functional business domain and scenarios; Categories of data and where it is held; Business data requirements; Database technologies and distributed datastores (e.g. SQL, NoSQL); Data Quality; Existing business systems and processes, including the key drivers and measures of success. To support the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data.
For R-1719393 (USA) Senior, Data Engineer
*Job Ad Starts*
As a "Senior Data Engineer", you should be able to technically help and assist team to steer through correct technical directions following the best practices. You will have deeper understanding of Data Engineering approaches along with hands on experience in building highly scalable solutions.
About Team: NewBets-Data Ventures
Our team creates reusable technologies to help with customer acquisition, onboarding, and empowering merchants, while ensuring a seamless experience for both stakeholders. We also optimize tariffs and assortment in accordance with Walmart's Everyday Low-Cost philosophy. We not only create affordability, but we also deliver customized experiences for customers across all channels - in-store, mobile app, and websites. Our team is responsible for providing support to US Marketplace sellers. We focus on providing immediate solutions to the cases/tickets created by sellers. We interact with multiple teams across the company to provide excellent seller experience.
What you'll do:
- You will lead the work of other small groups of three to five engineers, including offshore associates, for assigned Engineering projects by providing pertinent.
documents, direction, and examples; identifying short- and long- term solutions and timeline; reviewing and approving proposed solutions. - You will drive the execution of multiple business plans and projects by identifying customer and operational needs, developing, and communicating business.
- Participates in medium- to large-scale, complex, cross-functional projects by reviewing project requirements, translating requirements into
technical solutions; gathering requested information (for example, design documents, product requirements, wire frames); writing and developing.
code; conducting unit testing; communicating status and issues to team members and stakeholders; collaborating with project team and cross.
functional teams; troubleshooting open issues and bug-fixes; enhancing design to prevent re-occurrences of defects; ensuring on-time delivery and
hand-offs: interacting with project manager to provide input on project plan; and providing leadership to the project team.
plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring.
progress and adjusting performance; accordingly, developing contingency plans; and demonstrating adaptability and supporting continuous learning. - Implementing new architectural patterns; and performing design and code reviews of changes.
- Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to
others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy. - Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives, consulting with business.
partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost effectiveness.
and participating in and supporting community outreach events.
What you'll bring:
Must have
- Strong hands-on experience with Hadoop, Hive, Apache Spark .
- Experience in building highly scalable Big Data solutions and ETL ecosystems.
- Proven track record coding with at least one programming language e.g., Scala (preferred), Python.
- Expert in cloud computing platforms and offerings from Google Cloud Platform (GCP) (preferred), Microsoft Azure.
- Evangelize an extremely high standard of code quality, system reliability, and performance.
- Experience with the integration tools like Automic, Airflow
- Skilled in data modeling & data migration protocols
- Working knowledge of CI/CD pipelines.
- Ability to write designs for data architecture of data warehouse or data lake solutions or end to end pipelines.
- Expert in data architecture principles, distributed computing
- Intake prioritization, cost/benefit analysis, decision making of what to pursue across a wide base of users/stakeholders and across products, databases, and services,
- Should be able to communicate complex technical solutions and ideas to both technical and non-technical team members.
- Ability to lead our technical relationship with partners and mentor senior software developers in multiple initiatives.
Nice to have
- Knowledge of Databricks is an added advantage.
- Experience with ThoughtSpot, Druid, Big Query and ClickHouse is added advantage.
- Hands on knowledge in NoSQL like Cosmos DB along with RDBMS like MySQL, Postgres is plus.
- Hands on working experience in any messaging platform like Kafka is preferred.
- Increase the efficiency of the team by setting right Processes of Software Development, Requirement Intake, Effort Estimation
- Demonstrating creative, critical thinking & troubleshooting skills.
Data Modeling Requires knowledge of: Cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc. ; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques. To analyze complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models. Develops the Logical Data Model and Physical Data Models including data warehouse and data mart designs. Defines relational tables, primary and foreign keys, and stored procedures to create a data model structure. Evaluates existing data models and physical databases for variances and discrepancies. Develops efficient data flows. Analyzes data-related system integration challenges and proposes appropriate solutions. Creates training documentation and trains end-users on data modeling. Oversees the tasks of less experienced programmers and stipulates system troubleshooting supports.
Data Governance Requires knowledge of: Data value chains; Data processes and practices; Regulatory and ethical requirements around data; Data modeling, storage, integration, and warehousing; Data value chains (identification, ingestion, processing, storage, analysis, and utilization); Data quality framework and metrics; Regulatory and ethical requirements around data privacy, security, storage, retention, and documentation; Business implications on data usage; Data Strategy; Enterprise regulatory and ethical policies and strategies. To establish, modify, and document data governance projects and recommendations. Implements data governance practices in partnership with business stakeholders and peers. Interprets company and regulatory policies on data. Educates others on data governance processes, practices, policies, and guidelines. Provides recommendations on needed updates or inputs into data governance policies, practices, or guidelines.
Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.
Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities.
Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.
Live our ValuesCulture Champion• Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart's commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance.Servant Leadership• Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.Embrace ChangeCuriosity & Courage• Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.Digital Transformation & Change• Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.Deliver for the CustomerCustomer Focus• Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans.Strategic Thinking• Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team's strategy.Focus on our Associates
Diversity, Equity & Inclusion• Embraces diversity in all its forms and actively supports diversity of ideas and perspectives, as well as diversity goal programs.Collaboration & Influence• Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action.
Talent Management• Contributes to an environment allowing everyone to bring their best selves to work, demonstrates engagement and commitment to the team, and recognizes others' contributions and accomplishments.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in Computer Science and 3 years' experience in software engineering or related field. Option 2: 5 years' experience in
software engineering or related field. Option 3: Master's degree in Computer Science and 1 year's experience in software engineering or related
field.
2 years' experience in Data Engineering, database engineering, business intelligence, or business analytics.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master's degree in Computer Science or related field and 3 years' experience in software engineering
Primary Location...
603 MUNGER AVE STE 400, DALLAS, TX 75202, United States of America
