Data Engineer

Preferred Locations:

Sunnyvale, Bentonville, or Dallas.

Must be strong and hands-on on Python and Databricks;

Description: 

Client is looking for a savvy Data Engineer to join our growing team of analytics experts. 

The role will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. 

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. 

The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. 

They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. 

The right candidate will be excited by the prospect of optimizing or even re-designing our data architecture to support our next generation of products and data initiatives.

Responsibilities for Data Engineer

Create and maintain optimal data pipeline architecture for data intensive applications.

Assemble large, complex data sets that meet functional / non-functional business requirements.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure SQL, Cosmo DB, Databricks and other legacy databases.

Build analytics Dashboard/Visualizations utilizing the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications for Data Engineer:

Strong python programming skills, expert level on using Python to process Big Data;

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Extensive Experience on Databricks on Azure Cloud platform, deep understanding on Delta lake, Lake House Architecture.

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Strong analytic skills related to working with Data Visualization Dashboard, Metrics and etc, experience on Tableau, Power BI or Looker tools;

Build processes supporting data transformation, data structures, metadata, dependency and workload management.

A successful history of manipulating, processing and extracting value from large disconnected datasets.

Working knowledge of message queuing, stream processing, and highly scalable big data data stores.

Familiar with Deployment tool like Docker and building CI/CD pipelines.

Experience supporting and working with cross-functional teams in a dynamic environment.

8+ years experience in software development, Data engineering, and Bachelors degree in computer science, Statistics, Informatics, Information Systems or another quantitative field. Postgraduate/masters degree is preferred.

Education: Bachelors Degree