Data Engineer

Insight Global

Bentonville, AR, United States

2 days ago

Apply on dejobs.org

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

dejobs.org

Tech stack

Amazon Web Services Data Analysis Microsoft Azure Big Data Databases Data Cleansing Data Files Data Mining Data Stores Data Visualization Relational Databases Apache Hadoop

+16 more

Hadoop Distributed File System MapReduce Apache Hive Python (Programming Language) Power BI Cloud Services Standard Sql SQL Databases Tableau (Software) Unstructured Data Google Cloud Apache Spark Pyspark Looker Analytics Data Pipelines Databricks

Requirements

5+ years of experience in Spark -Proficient in Scala/Python -Data Extraction, Data cleaning, Data screening, Data Exploration and Data Visualization of structured and unstructured datasets -Skilled in Big Data Technologies like Spark, Spark SQL, PySpark, HDFS (Hadoop), MapReduce -Excellent exposure to Data Visualization tools such as Tableau, PowerBI, Looker -Experience with cloud services such as: Azure/AWS Cloud, Databricks, Azure HD Insights, ADF or similar -Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. -Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. -Strong analytic skills related to working with unstructured datasets. -Working knowledge of highly scalable ‘big data’ data stores. -Google Cloud Platform professional experience

About the company

One of our largest national retail clients is looking to bring on a Data Engineer to help them with several projects in their supply chain technology organization. These projects consist of building new and upgrading legacy applications for the replenishment order management team.