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Walmart

Sells groceries and essentials in stores and online

Principal Data Engineer

Data EngineeringUpdated on Oct 29
Full-timeBentonville, AR, USA$129.3k - $220k /yrIn-person

About the Job

Requirements

  • A Master's degree or equivalent in Computer Science, Information Technology, Engineering, or a related field plus 3 years of software engineering or related experience; alternatively, 7 years of software engineering or related experience; or a Bachelor's degree or equivalent in Computer Science, Information Technology, Engineering, or a related field plus 5 years of software engineering or related experience. The employer accepts any amount of experience with the required skills.
  • Experience coding in object-oriented languages including Python, SQL, PySpark, HTML, and Scala.
  • Experience designing, building, and maintaining ETL pipelines using Hadoop, Apache Spark, Hive, and BigQuery on cloud platforms such as GCP, AWS, or Azure.
  • Experience with data warehousing technologies including Amazon Redshift, Teradata, S3, and BigQuery for large-scale storage and analytics.
  • Experience using SQL, Spark SQL, and NoSQL for data manipulation and retrieval.
  • Experience identifying bottlenecks and architecting automation solutions such as automated pipelines and query optimization.
  • Experience with retail and digital advertising KPIs, including CTR and impressions, and interpreting HTML and cookies from backend systems.
  • Experience using JIRA, GitHub, and project management tools for sprint planning, backlog management, and progress tracking with dashboards.
  • Experience developing dashboards using Power BI, Tableau, and Medallia; designing surveys; defining KPIs; and improving email response rates.
  • Experience with hypothesis testing, A/B testing, and machine learning models such as forecasting and regression, using Python libraries including Scikit-learn, Pandas, Matplotlib, and Seaborn for exploratory data analysis and insights.
  • Experience parsing, cleansing, and querying unstructured data across Parquet, JSON, TXT, and CSV formats.
  • Experience managing Amazon EC2 instances for scalable cloud computing resources.

Responsibilities

  • Translate and co-own business problems within the discipline into data-related or mathematical solutions, identify suitable methods and tools, and explain use cases demonstrating how a method solves the business problem.
  • Apply current expertise to develop, execute, and improve action plans; provide expert advice and guidance on information and best practices; align efforts with customer and business needs; and build commitment for proposed perspectives and rationales.
  • Recommend solutions to complex business issues for business stakeholders and develop business cases for projects with projected return on investment or cost savings.
  • Translate business requirements into projects, activities, and tasks aligned with business strategy, develop domain-specific artifacts, and connect business needs with practical solutions and results.
  • Identify and recommend relevant business insights in the area of work.
  • Build stakeholder relationships and partnerships, identify business needs, carry out necessary processes and practices, monitor progress and results, recognize improvement opportunities, and adapt to competing demands, organizational changes, and new responsibilities.
  • Support prioritization of requirements and service level agreements, identify suitable fit-for-purpose data sources, and perform initial data quality checks on extracted data.
  • Generate graphical representations of data and model outcomes, understand customer requirements, and design data representations for multiple data sets.
  • Work with User Experience designers and User Interface engineers as needed to build front-end applications.
  • Present to and influence team and business audiences using suitable data visualization frameworks, communicating clear messages based on business and stakeholder understanding.
  • Customize communication style based on stakeholders and use rational arguments.
  • Guide and mentor junior associates on story types, structures, and techniques appropriate to the context.
  • Promote and educate others on data quality awareness; profile, analyze, and assess data quality; test and validate data quality requirements; continuously measure and monitor quality; and deliver against data quality service level agreements.
  • Manage operational data quality procedures, data quality issues, and data cleansing activities to remove defects, improve data quality, and eliminate unused data.
  • Determine user accessibility and remove or restrict user access as needed.
  • Interpret company and regulatory policies on data and educate others on data governance processes, practices, policies, and guidelines.
  • Collect and tabulate data and evaluate results for accuracy, validity, and applicability.
  • Support the selection and application of statistical techniques based on requirements and apply suitable techniques under leadership direction.
  • Assist in planning, designing, and implementing exploratory data analysis research projects.
  • Understand existing statistical models and identify and recommend models based on hypotheses.

About the Company

Walmart

Sells groceries and essentials in stores and online

Walmart sells groceries, household essentials, clothing, and electronics through stores and online marketplaces for consumers around the world. Its everyday low price model combines large purchasing volumes with distribution networks that move goods to stores and customer homes. Shoppers can browse online, collect orders at a nearby store, or request delivery, while third-party merchants use its marketplace and fulfillment services to reach customers. The group earns revenue from merchandise sales, memberships, advertising, and services, and also operates pharmacies, optical centers, and digital payments businesses. Walmart opened its first discount store in 1962 and is headquartered in Bentonville, Arkansas.

Company size
10,001+
Company stage
IPO
Headquarters
Bentonville, AR
Founded
1962

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