Position Details

Salary $90K – $180K USD / year

Type Not Specified

Experience mid

Exp. Years Not specified

Education Not specified

Category Data & Analytics

About this role

Walmart is seeking a data engineer to develop and maintain scalable data pipelines supporting analytics and reporting. The role involves working with big data technologies, cloud environments, and ensuring data quality.

Key Responsibilities

Design and maintain data pipelines
Collaborate with teams to identify data requirements
Extract, transform, and load data from sources
Optimize data storage solutions
Ensure data quality and governance

Technical Overview

The role involves building data pipelines using Apache Spark and Kafka, programming in SQL, Python, or Java, and working within cloud platforms to support real-time decision making and data integration.

Ideal Candidate

The ideal candidate is a mid-level data engineer with experience in building scalable data pipelines, proficient in SQL, Python or Java, and familiar with big data technologies like Apache Spark and Kafka. They should have a strong understanding of data governance and cloud environments.

Must-Have Skills

Data engineeringSQLPython or JavaApache SparkApache Kafka

Nice-to-Have Skills

Data governanceData privacyBig data technologiesCloud environments

Tools & Platforms

Apache SparkApache KafkaCloud platforms

Required Skills

Data engineeringSQLPythonJavaApache SparkApache KafkaETL processesCloud platforms

Hard Skills

SQLStructured Query LanguageJavaPythonApache SparkApache KafkaETL processesCloud platforms

Soft Skills

collaborationcommunicationproblem-solvingsystem analysisteamwork

Industry & Role

Industry Retail / E-commerce

Job Function Developing and maintaining scalable data pipelines for analytics and reporting

Role Subtype Data Engineer

Tech Domains Apache Spark, Apache Kafka, SQL / PostgreSQL

Keywords for Your Resume

Data EngineerETL processesApache SparkApache KafkaSQLPythonJavaCloud platformsData pipelinesData modelingData qualityData governanceBig dataReal-time decision makingData integrationdata engineerETLcloud data pipelinesdata modelingdata quality

Deal Breakers

Lack of experience with Apache Spark or Kafka, No proficiency in SQL or programming languages, No experience with data pipelines or ETL processes

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