Position Summary
While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.
We are looking for experienced engineers with a growth mindset to join a growing team. Our engineers combine creativity, curiosity, and drive to get things done.
We discuss new ideas openly and provide candid feedback constructively. You will be a key member of the platform team and will be responsible for a wide range of analytics features, initiatives, and enhancements.
If you thrive in a dynamic environment where you are involved in designing, implementing and iteratively improving crucial features, then this is the job for you!
About Team
In the Data Engineering team, we help Walmart manage data by building pipelines and data lakes to prepare big data for analysis and unlocking actionable insights in real-time.
We also use cross-departmental data and machine learning to build a holistic view of true profitability, saving millions of dollars across item categories and geographies while assisting our leadership in making better decisions faster.
What You'll Do
- Work with stakeholders to understand the business & reporting needs - Propose, design and develop creative dashboard solutions that provide required insight, improve / automate processes and add value.
- Provide technical expertise in areas of architecture, design, and implementation.
- Collaborate with cross-functional teams to design and build systems.
- Influence and educate the team with your experience, ideas, and learning.
- Build and maintain data pipelines and architecture specific to analytics.
What You'll Bring
- Experience leveraging big data technologies such as Hive, Hadoop, Spark.
- Experience with SQL, Pyspark, BigQuery.
- Experience with visualization tools for data reporting such as Tableau, Looker.
- ETL Experience.
- Excellent communication skills for collaborating with other teams.
Minimum Qualifications
Outlined below are the required minimum qualifications for this position :
- Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field.
- Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
- 4 years' experience in data analysis, data science, statistics, or related field.
Preferred Qualifications
Outlined below are the optional preferred qualifications for this position :
- Data science, data analysis, statistics, or related field.
- Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
- Related industry experience (for example, retail, merchandising, healthcare, eCommerce).
- Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau).
Primary Location
221 River St, Hoboken, NJ 07030, United States of America
J-18808-Ljbffr
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