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Databricks Internship information

What are the key skills and qualifications needed to thrive as a Databricks Intern, and why are they important?

To thrive as a Databricks Intern, you typically need a solid foundation in computer science, data engineering, or a related field, along with strong programming skills in languages like Python, SQL, or Scala. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Apache Spark), and data analytics tools is commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset help interns excel in dynamic, team-oriented environments. Mastering these skills enables effective contribution to real-world data projects, supporting innovation and business impact at Databricks.

What types of projects do Databricks interns typically work on, and how are they integrated into existing teams?

Databricks interns are usually assigned to real-world projects that align with the company's current priorities, such as developing new data analytics features, optimizing cloud infrastructure, or contributing to open-source initiatives like Apache Spark. Interns are integrated into agile engineering or data science teams, where they participate in daily stand-ups, code reviews, and collaborative problem-solving sessions. This structure ensures that interns gain hands-on experience, receive mentorship from experienced professionals, and have opportunities to present their work, making the internship both impactful and a strong learning experience.

What is a Databricks internship?

A Databricks internship is a temporary position offered to students or recent graduates to gain hands-on experience working with Databricks, a company specializing in data analytics and artificial intelligence. Interns typically work on real-world projects involving big data, cloud computing, and collaborative analytics using the Databricks Unified Analytics Platform. The internship provides opportunities to learn from industry experts, develop technical skills, and contribute to innovative solutions. Interns also gain exposure to Databricks' company culture and may have the opportunity to transition to a full-time role after completion.
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Databricks Internship jobs near you
Senior Data Quality Engineer - Labor Management Forecasting

Senior Data Quality Engineer - Labor Management Forecasting

Publix Super Markets, Inc.

Lakeland, FL • On-site

$98K - $134K/yr

Other

Posted 4 days ago

Publix rating

6.8

Company rating: 6.8 out of 10

Based on 4,551 frontline employees who took The Breakroom Quiz

21st of 114 rated grocery stores

Job description

Publix Super Markets, Inc., the largest employee-owned company in the U.S., is driven by a dynamic technology team of 2,300+ professionals delivering innovative solutions to 1,400+ stores and 200,000+ associates across 8 states.
From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level-internships through technical leadership.
Join a company consistently ranked among Fortune's "100 Best Companies to Work For" and help us build more than great subs-build the future of technology at Publix.
Become part of the Labor Management team, designing, building, and delivering a robust application that supports Publix business areas in managing labor activities such as forecasting, time attendance and scheduling. In this role, you will own data processing validation and transformation, build and maintain scalable data pipelines, and manage Azure and on-prem data services.
Location: Hybrid (Lakeland, FL)  
Work Model: Enjoy the best of both worlds-collaborate in person and innovate remotely.
Why Join Us?
  • Hybrid Flexibility: Work remotely when you need focus time and join us onsite for high-impact collaboration and brainstorming sessions.
  • Operational Efficiency: Ensure technology solutions support efficient workflows and enable automation to improve operational effectiveness.
  • Cutting-Edge AI Projects: Drive innovation in AI platforms, integrating advanced tools and frameworks to solve complex business challenges.
  • Empowered Culture: We value autonomy, creativity, and continuous learning-your ideas shape the future of technology in our organization.

Your Impact
  • Design and implement secure, scalable ingestion frameworks to migrate data from on prem SQL Server databases into Azure Data Lake using standardized patterns
  • Develop and maintain reusable transformation frameworks (e.g., medallion architecture: bronze/silver/gold) to standardize data modeling, improve data reliability, and accelerate downstream analytics and reporting
  • Establish data governance, security, and compliance controls across the lake house, including data classification, access controls, lineage, and auditing to ensure enterprise and regulatory standards are met
  • Design, implement, and monitor data quality events to detect, alert, and resolve data anomalies across pipelines and platforms
  • Provide hands-on development, deployment, maintenance, and optimization of data pipelines and workflows using Databricks.
  • Collaborate with technical teams and other cross-functional stakeholders to understand requirements, design solutions, and implement them using Databricks' platform.
  • Optimize and tune Databricks jobs for performance and scalability.
  • Assist technical team through problem determination and resolution on highly complex problems.
  • Maintain strong analytical, planning, problem solving, writing, and presentation skills.

 

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