Data Engineer

VRIZE
Tampa, FL

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Job Details

Benefits

Flexible schedule

Qualifications

Containerization systems
Data model design
Commercial use (data warehousing systems)
Cloud analytics services
Cloud data warehouses
Data modeling projects
Spark
Schema design
Programming languages
Spark implementation
Bachelor's degree
AWS Glue
Agile software development
DevOps automation
Database software proficiency

Full Job Description

The Industrial Era, the Information Era, the Digital Era, the Globalization Era, the Sustainability Era, the Post-Truth Era, the Biotech Era—you name it, we’ve heard it, witnessed it, and we now want more!!

Dictated mandates never made history. VRIZE hollers all tech rebels, disruptors, creators, innovators, problem solvers, and whatever verb you bring for the creation of a ‘frictionless tech’ era.

The buck is 'YOU.' Are you ready to code your legacy?

Culture of continuous learning

VRIZE loves success, but do we hold our learnings dearer – a resounding ‘YES’. Where learning, relearning, and unlearning always take the front foot. We let you adorn your curiosity cap and applaud when your innovation walks the stage.

Flexible Working Hours

Don’t get us wrong - We do clock in okay!, but we sync up more often. Your personal rhythm is as important to us as our tuning the clocks.

Wellness Activities

Stay connected and engaged through a variety of virtual team events and programs.

Goal-Based Performance

Feedback is passe. We believe in feedforward. Paving the way for what is and can be, our performance bar is not a limbo stick; it's a rocket launcher aimed for the stars. Goals aren't just met at VRIZE —they're high-fived on the way up.

Conducive working environment

Fresh air to breathe, grow, and nurture should not be an ask. It should be a given. An environment infused with collaboration, comfort, and an ambiance that hums with productivity is taken at VRIZE.

Recognition and Wellbeing

How good can an occasional handshake be is a question we asked long back. Your holistic success is paramount for VRIZE to rise, and we will not risk that now. Will we?

Employee Referral Programs

The best money ever made is one invested in a friend one could vouch for. We not only encourage but also incentivize you to click on that “trust me, you'll love it here' button." In for a WIN – WIN.

Travel Opportunities

Ever wondered what it's like to be a ‘Global Citizen’? Imagine it: not just an opportunity but a window seat to explore the world, one destination at a time. It’s about embracing new cultures, discovering diverse perspectives, and truly earning the title of a world traveler.

Then Work with Us!

We're on the lookout for talented individuals to join our expanding team. If you're passionate about digital transformation, we want to hear from you! Apply now and become part of one of North America's fastest-growing digital services providers.

Data Engineer

Technology: AWS, Python, PySpark, Airflow

Sub-technology: Snowflake, Redshift, SQL/Hive, Jenkins, Docker, Kubernetes, GitLab, Bitbucket, Azure, Google Cloud Platform

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Qualification‍

Bachelor’s degree in Technology
5+ years of experience in Data Engineering
Experience working in Agile/Scrum environments

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Job Overview

We are looking for a candidate with 5+ years of experience in a Data Engineer role who has obtained a bachelor’s degree in technology and has experience with Agile/Scrum development processes and methodologies. The ideal candidate should have a proven track record in designing and implementing data solutions using modern data technologies and cloud platforms.

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Primary Skills:

5+ years as a Data Engineer with a strong track record of designing and implementing data solutions
Proficient in Python and PySpark, with hands-on exposure to Airflow
Skilled in cloud data warehousing technologies such as Snowflake and Redshift
Well-versed in cloud platforms, including AWS, Azure, and Google Cloud Platform
Strong working knowledge of AWS services — S3, EC2, EMR, Glue, CloudWatch, Athena, and Lambda
Familiar with containerization and orchestration using Docker and Kubernetes
Adept at building CI/CD pipelines using tools like GitLab and Bitbucket
Experienced in data pipeline orchestration with Airflow and Jenkins
Solid understanding of database concepts, data modeling, schemas, and query languages such as SQL and Hive
Good to have: knowledge of Informatica
Retail domain exposure is a plus

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Technology Skills:

Programming Languages: Python, PySpark, SQL
Cloud Platforms: AWS (S3, EC2, EMR, Glue, CloudWatch, Athena, Lambda); Azure; Google Cloud Platform
Data Warehouses: Snowflake, Redshift
Orchestration Tools: Airflow, Jenkins
Version Control & CI/CD: GitLab, Bitbucket
Containerization: Docker, Kubernetes

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Responsibilities and Duties:

Design, develop, and maintain scalable data pipelines and architectures
Manage and monitor workflows using Airflow and other orchestration tools
Develop automation frameworks for the continuous integration and deployment of data processes
Ensure data accuracy, quality, and availability across all stages of the pipeline
Collaborate with cross-functional teams to define and document data engineering best practices
Troubleshoot data-related issues and optimize performance
Contribute to the continuous improvement of data engineering standards and practices

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