Databricks - Data Engineer (Ic)

Databricks - Data Engineer (IC)
Job Title:
Databricks - Data Engineer (IC)
Job Description
We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.
The global technology and services leader that powers the world's best brands, today and into the future. We're solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we're the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.
In our Information Technology and Global Security team, you will deliver the latest technology infrastructure, transformative software solutions and industry-leading global security for our staff and clients. You will work with the best in the world to design, implement and strategize IT, security, application development, innovation, and solutions in today's hyperconnected world. You will be part of the technology team that is core to our vision of develop, build and run the future of Integrated Services.
Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we're proud to be recognized with awards such as \"World's Best Workplaces,\" \"Best Companies for Career Growth,\" and \"Best Company Culture,\" year after year.
We embrace our game-changers with open arms, people from diverse backgrounds, who are curious and willing to learn. Your natural talent to help others and go beyond WOW for our customers will fit right in with what we do and who we are.
Join us and be part of this journey towards greater opportunities and brighter futures. We are seeking a talented and motivated Databricks Engineer to join our Analytics Technology team. In this role, you will design, develop, and optimize scalable data solutions that power business intelligence, advanced analytics, reporting, and AI-driven initiatives across the organization.
Key Responsibilities
Design, develop, and maintain scalable and efficient data pipelines using Databricks and cloud-native technologies.
Build and optimize ETL/ELT processes for structured, semi-structured, and unstructured datasets.
Develop robust data models, data quality frameworks, and monitoring solutions to ensure platform reliability.
Support advanced analytics, machine learning, AI initiatives, and enterprise reporting through high-quality data products.
Collaborate with business stakeholders and technical teams to translate requirements into scalable technical solutions.
Troubleshoot data platform issues, identify performance bottlenecks, and implement effective resolutions.
Contribute to CI/CD processes, automation initiatives, and infrastructure-as-code practices.
Ensure adherence to data governance, security, compliance, and operational best practices.
Participate in architectural discussions and drive continuous improvement across the data platform.
Required Qualifications
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline, or equivalent practical experience.
Hands-on experience with Databricks and modern data engineering methodologies.
Strong experience developing data pipelines using Python, Spark, and PySpark.
Experience working with cloud platforms, preferably Microsoft Azure.
Strong SQL skills and understanding of data warehousing concepts.
Experience with source control and collaboration tools such as Git.
Knowledge of data modeling, performance optimization, and data quality management.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent communication skills and the ability to work effectively within global teams.
Ability to work independently with minimal supervision and translate business requirements into technical solutions.
Preferred Qualifications
Experience with Azure Databricks and the Microsoft data ecosystem.
Knowledge of Delta Lake, Unity Catalog, and Lakehouse architecture principles.
Experience with orchestration tools such as Azure Data Factory, Apache Airflow, or similar platforms.
Understanding of DevOps practices, CI/CD pipelines, and automation frameworks.
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