About this role
Job title: Sr. Data Engineer – Databricks
About the Role Sr. Data Engineer – Databricks will design, build, and maintain scalable data solutions that enable analytics, reporting, and data-driven decision-making across the organization. You will transform complex data into high-quality datasets, collaborate with analytics, engineering, and business teams, and apply best practices in cloud-based data engineering and governance.
What You'll Do
- Design, develop, and maintain robust and scalable data pipelines using Apache Spark and cloud-native data services.
- Build, optimize, and support ETL and ELT workflows to enable analytics, reporting, and downstream applications.
- Implement and manage data solutions using Databricks, Delta Lake, and Unity Catalog.
- Ensure data quality, reliability, and performance across large-scale and complex datasets.
- Collaborate with cross-functional teams to gather data requirements and translate them into effective technical solutions.
- Apply data engineering best practices related to scalability, security, monitoring, and maintainability.
- Support the continuous improvement of data architecture, pipeline performance, and operational stability in a cloud environment.
What We're Looking For
- 7+ years of experience in data engineering or a related technical role.
- Strong hands-on experience with Databricks and Apache Spark.
- Experience working with Delta Lake and Unity Catalog for data management and governance.
- Solid understanding of data pipeline design, ETL and ELT patterns, and data modeling concepts.
- Experience working with cloud data platforms such as Azure, AWS, or GCP.
- Proven ability to design scalable, reliable, and high-performing data solutions.
- Strong problem-solving skills and the ability to work effectively in collaborative, fast-paced environments.