Data Engineer – Databricks (Zillow)

Company Overview

Bridgenext is a Global consulting company that provides technology-empowered business solutions for world-class organizations. Our Global Workforce of over 800 consultants provide best in class services to our clients to realize their digital transformation journey. Our clients span the emerging, mid-market and enterprise space. With multiple offices worldwide, we are uniquely positioned to deliver digital solutions to our clients leveraging Microsoft, Java and Open Source with a focus on Mobility, Cloud, Data Engineering and Intelligent Automation. Emtec’s singular mission is to create “Clients for Life” – long-term relationships that deliver rapid, meaningful, and lasting business value.

At Bridgenext, we have a unique blend of Corporate and Entrepreneurial cultures. This is where you would have an opportunity to drive business value for clients while you innovate and continue to grow and have fun while doing it. You would work with team members who are vibrant, smart and passionate and they bring their passion to all that they do – whether it’s learning, giving back to our communities or always going the extra mile for our client.

Position Description

We are looking for members with hands-on Data Engineering experience who will work on the internal and customer-based projects for Bridgenext. We are looking for someone who cares about the quality of code and who is passionate about providing the best solution to meet the client needs and anticipate their future needs based on an understanding of the market. Someone who worked on Hadoop projects including processing and data representation using various AWS Services.

Must Have Skills:

• 4+ years of experience in data engineering, with a focus on big data technologies (e.g., Spark, Kafka)
• 2+ years of Databricks experience is must
• Strong understanding of data architecture, ETL processes, and data warehousing
• Proficiency in programming languages such as Python or Java
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data tools
• Excellent communication, interpersonal, and leadership skills
• Ability to work in a fast-paced environment and manage multiple priorities

Professional Skills:

• Solid written, verbal, and presentation communication skills
• Strong team and individual player
• Maintains composure during all types of situations and is collaborative by nature
• High standards of professionalism, consistently producing high-quality results
• Self-sufficient, independent requiring very little supervision or intervention
• Demonstrate flexibility and openness to bring creative solutions to address issues