Data Engineer

Data Engineer - I The Data Engineer - I will be responsible for building and maintaining optimal data pipeline and reporting architecture for the next generation Data Warehouse, reporting, and data analytics environment. The individual will be a part of a team responsible for building, managing and monitoring all data transformation and data load into the Data Lake hosted on AWS. Key Responsibilities

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

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of structured and unstructured data sources using SQL and AWS 'big data' technologies.

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

Work with internal stakeholders, including executives, to assist with data-related technical issues and support their data needs.

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

Assist in developing data model architecture for the next generation management reporting system.

Ongoing maintenance of the data warehouse and reporting infrastructure.

Minimum Qualifications

Bachelor's degree in Information Systems, Computer Science, Computer Engineering, Statistics, Mathematics or related areas.

One or more Industry certifications; AWS Developer Associate, Certified Big Data Specialty, Tableau Desktop Certified Associate, Certified Associate in Python programing (PCAP), Apache Spark certification will be given preference.

1-2 years of programing in the field of data engineering, analytics, data visualization, SQL and related technologies

Key skills, knowledge & experience Deep understanding and experience in the following technologies and programming environment:

Apache Spark and PySpark, Hadoop

SQL and any NoSQL and RDBMS platforms

Python, R, Java, JavaScript PL/SQL, XML, XSLT

GitHub or similar shared code repository

Tableau

AWS cloud services

DevOps practices

Optional skills, knowledge & experience Individuals with skills, knowledge and experience in the following applications and services will be given special consideration:

Salesforce CRM

Workday HRM and ERP system

Seismic content management

Google AdWords, Google Analytics, Google Tag Manager

Self-motivated problem solver who has worked on building data transformation process to support business intelligence applications in a large environment will be given preference. Excellent organization skills, diagnostics and problem-solving abilities as well as strong written and verbal communication skills. Energetic, able to clearly communicate ideas and deliver results.