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Walmart

Principal Data Engineer

  • Office
  • 6+ years

Salary

$129,314/ year

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Description

The role is Principal Data Engineer, based at 811 Excellence Dr, Bentonville, AR 72716.

The team works with business stakeholders, designers and junior associates to turn business problems into data solutions and to set data quality and governance standards.

Responsibilities

  • Turn business problems into data or mathematical solutions, naming the methods and tools to use and showing with examples how each would address the problem.
  • Keep your expertise current, advise others on methods and best practices, and help build action plans that meet customer and business needs.
  • Advise business stakeholders on complex issues, build business cases with a projected return on investment or cost savings, and convert business requirements into projects, tasks and domain artifacts.
  • Act as the link between business needs and working solutions, and surface relevant business insights in your area.
  • Build relationships with key stakeholders, identify their needs, carry out the processes required, track progress and results, spot improvements, and adapt when priorities, organization or responsibilities change.
  • Help set the priority order of requirements and service level agreements, identify the most suitable data source for each purpose, and run first-pass quality checks on extracted data.
  • Create graphical views of data and model outcomes, design data representations for several data sets based on customer needs, and work with UX designers and UI engineers on front-end applications when needed.
  • Present to the team and business audiences using suitable visualization frameworks, adjust your style to each stakeholder, back points with sound reasoning, and coach junior associates on storytelling.
  • Promote data quality awareness, profile and assess data quality, test and validate quality requirements, and monitor it continuously against service level agreements.
  • Run data quality procedures, lead cleansing to fix defects and remove unused data, manage quality issues, control user access to data, interpret company and regulatory data policies, and teach data governance practice.
  • Collect and tabulate data, judge its accuracy, validity and applicability, choose statistical techniques, apply them as leadership directs, help plan and run exploratory data analysis projects, and review existing statistical models or propose new ones from hypotheses.

Requirements

  • Either a master's degree or equivalent in computer science, information technology, engineering or a related field with 3 years of software engineering or related experience, or 7 years of software engineering or related experience, or a bachelor's degree or equivalent in one of those fields with 5 years of software engineering or related experience.
  • Coding in object-oriented languages such as Python, SQL, PySpark, HTML and Scala.
  • Designing, building and maintaining ETL pipelines on GCP, AWS or Azure with Hadoop, Apache Spark, Hive and BigQuery, producing scalable, secure and reliable systems.
  • Data warehousing with Amazon Redshift, Teradata, S3 and BigQuery for large-scale storage and analytics.
  • Querying and manipulating data with SQL, Spark SQL and NoSQL.
  • Automating scripts by finding bottlenecks and designing automated pipelines and query optimization.
  • Retail and digital advertising work, including KPIs such as CTR and impressions, and reading HTML and cookies from the backend.
  • Using JIRA, GitHub and project management tools for sprint planning, backlog management and progress dashboards.
  • Building dashboards in Power BI, Tableau and Medallia, designing surveys, defining KPIs, and improving email response rates.
  • Hypothesis testing, A/B testing and ML models for forecasting and regression, using Scikit-learn, Pandas, Matplotlib and Seaborn for EDA and insights.
  • Collaborating with cross-functional teams, contributing to the technical community, and mentoring junior engineers.
  • Parsing, cleansing and querying unstructured data in Parquet, JSON, TXT and CSV formats.
  • Managing Amazon EC2 instances for scalable cloud computing resources.
  • Any amount of experience with these skills is accepted.

Conditions

Pay is $129,314.00 to $220,000.00 per year.

The position is based in Bentonville, AR 72716, at 811 Excellence Dr.

The company is an equal opportunity employer.

The company has a zero tolerance policy on illegal drugs and alcohol on the job, to keep the workplace safe and productive.

Benefits

  • Performance-based incentive awards, paid annually or quarterly.
  • Medical, vision and dental health coverage.
  • 401(k) retirement plan, stock purchase option, and life insurance paid by the company.
  • PTO including sick leave, parental leave, family care leave, bereavement, jury duty and voting time.
  • Short-term and long-term disability, company discounts, military service pay, and adoption expense reimbursement.
  • Education assistance covering 100% of college degrees paid by the company.
  • Some benefits depend on job classification and length of employment, may change, and may follow specific plan or program terms.

Where you’d work

From the office

About the company

Walmart

  • Industry: E-commerce

Office in United States

Also hiring in Sunnyvale, United States, Bellevue, United States, Canada and 4 more places

1 of their 205 open roles is remote

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • AWS
  • Tableau
  • Azure
  • Spark
  • BigQuery
  • Power BI
  • scikit-learn
Seniority
Principal
Type
Full-time
Industry
E-commerce
Specialty
Data Engineering
Region
United States
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Seniority
Principal
Experience
3+ years
Tech stack
  • Python
  • SQL
  • AWS
  • Tableau
  • Azure
  • Spark
  • BigQuery
  • Power BI
  • scikit-learn

Location

Work model
Office
Region
United States
Office
  • United States

Compensation

Salary
$129,314 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
E-commerce

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