Data Engineer experienced in RETAIL

  • Sunnyvale, CA
  • Posted 11 hours ago | Updated 11 hours ago

Overview

On Site
Hybrid
$40 - $45
Contract - W2
Contract - 12 Month(s)

Skills

Analytical Skill
Analytics
Apache Airflow
Apache Hadoop
Apache Spark
Apache Storm
Big Data
Business Intelligence
PySpark
Python
Retail

Job Details

Key Responsibilities:

  • Design and develop scalable data pipelines for large-scale processing and transformation.

  • Integrate structured and unstructured data sources from various systems.

  • Build, manage, and optimize data architectures to support business intelligence and analytics.

  • Develop frameworks for data transformation, metadata management, dependencies, and workload orchestration.

  • Collaborate with analysts, data scientists, and product teams to deliver timely and accurate data solutions.


Required Skills & Experience:

  • Proven experience in a Data Engineer role, ideally supporting enterprise-grade platforms.

  • Strong SQL skills and working knowledge of relational databases and modern database technologies.

  • Hands-on experience with big data tools, including:

    • Hadoop, Spark, PySpark, Kafka

  • Proficiency in scripting and programming using Python and/or Java.

  • Familiarity with stream processing frameworks such as Apache Storm, Spark Streaming, etc.

  • Experience with workflow orchestration tools such as Apache Airflow, Luigi, etc.

  • Ability to build and support data transformation pipelines and metadata-driven solutions.


Preferred Qualifications:

  • Previous experience working on Walmart's internal data platforms or proprietary systems.

  • Familiarity with Walmart's tech stack, data ingestion processes, and governance standards.

  • Strong analytical skills with attention to performance optimization and data quality.

  • Effective communication and ability to work in fast-paced team environments.


Why Join?

  • Work on cutting-edge data infrastructure and analytics projects

  • Leverage your Walmart experience to make an immediate impact

  • Collaborate with an experienced, tech-savvy team

  • Competitive rate and long-term potential


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