Scientist Jobs

About The Position

Requirements

• Experience with Big Data Technologies, Spark, Cloud, Streaming, Kafka core, Kafka connect.
• Proven track record coding with at least one programming language (e.g., Java, Scala, Python).
• Experienced in SQL, Advanced SQL, query optimization, window functions.
• Experienced in one of cloud computing platforms (e.g., GCP, Azure).
• Skilled in data modeling & data migration protocols.
• Bachelor’s degree in Computer Science and 2 years' experience in software engineering or related field.
• 4 years’ experience in software engineering or related field.
• Master's degree in Computer Science.

Nice To Haves

• Experience with GCP (or any other similar cloud offerings), Data warehousing, BI preferred.
• Knowledge with the orchestration tools like Airflow.
• Knowledge in designing large scale distributed systems and well versed with end-to-end system designing.
• Knowledge in building highly scalable Big Data solutions and ETL ecosystems.
• Hands on knowledge in RDBMS like MySQL, Postgres is plus.
• Good to have knowledge in NoSQL like Druid, Cosmos DB etc.
• Develop set processes for data mining, data modeling, and data production.
• Hands on with Gen AI tools and AI-Assisted development.
• Data engineering, database engineering, business intelligence, or business analytics.
• Master’s degree in Computer Science or related field and 2 years' experience in software engineering or related field.
• 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.
• 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.

Responsibilities

• Extracts data from identified databases.
• Creates data pipelines and transform data to a structure that is relevant to the problem by selecting appropriate techniques.
• Develops knowledge of current analytics trends.
• Supports 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.
• Analyses 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.
• Analyses data-related system integration challenges and proposes appropriate solutions.
• Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical and data requirements.
• Creates test cases to review and validate the proposed solution design.
• Creates proofs of concept.
• Tests the code using the appropriate testing approach.
• Deploys software to production servers.
• Contributes code documentation, maintains playbook, and provides timely progress updates.
• Provides recommendations to business stakeholders to solve complex business issues.
• Develops business cases for projects with a projected return on investment or cost savings.
• Translates business requirements into projects, activities, and tasks and aligns to overall business strategy.
• Serves as an interpreter and conduit to connect business needs with tangible solutions and results.
• Recommends new processes and ways of working.
• Participate in designing data application architecture with senior architects.
• Establishes, modifies, and documents 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.
• 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.
• 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.
• Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives.
• Applying suggestions for improving efficiency and cost effectiveness; and participating in and supporting community outreach events.
• Create and maintain optimal data pipeline architecture.
• Develop set processes for data modeling, mining and production.
• Create custom software components and analytics applications.
• Employ a variety of languages and tools to marry data systems together.
• Recommend ways to improve data reliability, efficiency, and quality.
• Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.
• Design and implement data tools for analytics and data scientist team members to help them in building and optimizing in the Walmart ecosystem.
• Creates training documentation and trains end-users on data modeling.
• Oversees the tasks of less experienced programmers and stipulates system troubleshooting supports.

Benefits

• Competitive pay
• Performance-based bonus awards
• Medical coverage
• Vision coverage
• Dental coverage
• 401(k)
• Stock purchase
• Company-paid life insurance
• PTO (including sick leave)
• Parental leave
• Family care leave
• Bereavement
• Jury duty
• Voting
• Short-term disability
• Long-term disability
• Company discounts
• Military Leave Pay
• Adoption and surrogacy expense reimbursement
• Walmart-paid education benefit program (Live Better U) for full-time and part-time associates, covering high school completion to bachelor's degrees, English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.