Position Summary...As a "Staff 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.
As a "Staff 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.
What you'll do...- You will lead the work of other small groups of ten to twelve 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.
- Leads and 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.
- Drive the integration and implementation of AI/ML solutions within data pipelines and business processes, including model development, deployment, and monitoring.
- Collaborate with data scientists and engineering teams to operationalize AI models, automate configurations, and enhance observability using AI-powered tools.
- Identify opportunities to leverage AI for automation, anomaly detection, and optimization across engineering projects.
What you'll bring:
- 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.
- Experience: 8-10+ Years of experience with 3+ on architecture and system design
- 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.
- Experience with AI/ML frameworks and tools and familiarity with deploying models in production environments.
- Ability to evaluate, integrate, and scale AI-driven solutions for business and operational impact.
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.
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 4 years' experience in software engineering or related field. Option 2: 6 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science and 2 years' experience in software engineering or related field.
3 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 4 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.
Primary Location...2608 Se J St, Bentonville, AR 72716-3724, United States of America
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
