SPARK, Cloud, Hands-on experience with a variety of big data (Hadoop / Cloudera, AWS SageMaker

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Job Description

Big data and advanced analytics products and solutions.
In this role, you will have the opportunity to contribute to several high-quality data solutions and enhance your technical skills across many disciplines.

Responsibilities:

Design, develop, and maintain end-to-end data solutions using open-source, modern data lake, and enterprise data warehouse technologies (Hadoop, Spark, Cloud, etc.)

Contribute to multiple data solutions throughout their entire lifecycle (conception to launch)

Partner with business stakeholders to understand and meet their data requirements

Provide ongoing maintenance and enhancements to existing data solutions

Maintain security in accordance with security policies

Participate in an Agile development environment

Qualifications:

Bachelor's degree in Computer Science, Engineering, or Information Management (or equivalent) with 8+ years of relevant work experience

Professional experience designing, creating and maintaining scalable data pipelines

Hands-on experience with a variety of big data technologies (Hadoop / Cloudera, Spark, Cloud)

Experience with object-oriented scripting languages: Java (required), Python, etc.

Advanced knowledge of SQL and experience with relational databases

Experience with UNIX shell scripts and commands

Experience with version control (git), issue tracking (jira), and code reviews

Proficient in agile development practices

Ability to clearly document operational procedures and solution designs

Ability to communicate effectively (both verbal and written)

Ability to work collaboratively in a team environment