Databricks Engineer
About The Position
Vidha IT Solutions LLC is hiring a Databricks Engineer for a remote position. The role involves designing, developing, and maintaining scalable data pipelines and ETL/ELT workflows using Databricks and Apache Spark. The engineer will work with data scientists, analysts, and business stakeholders to deliver data-driven solutions; manage Databricks clusters, notebooks, and job scheduling; implement Delta Lake architecture and best practices; integrate Databricks with cloud platforms and enterprise data sources; and troubleshoot pipeline issues to support high availability and data quality. Vidha IT Solutions LLC describes itself as a technology services company delivering IT and data solutions to clients across industries, with a collaborative, growth-oriented workplace where employees can make an impact and develop their careers.
Requirements
- Proven experience as a Databricks Engineer or Data Engineer, with hands-on Databricks platform expertise.
- Strong proficiency in Apache Spark, PySpark, and SQL.
- Experience with Delta Lake, Lakehouse architecture, and data modeling.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and cloud-native data services.
- Experience building and managing ETL/ELT pipelines at scale.
- Knowledge of Python, Scala, or other relevant programming languages.
- Strong problem-solving skills and ability to work in a collaborative, fast-paced environment.
Responsibilities
- Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.
- Build and optimize ETL/ELT workflows for data ingestion, transformation, and delivery.
- Collaborate with data scientists, analysts, and business stakeholders to deliver data-driven solutions.
- Manage and monitor Databricks clusters, notebooks, and job scheduling for performance and cost efficiency.
- Implement Delta Lake architecture and best practices for data reliability and governance.
- Integrate Databricks with cloud platforms such as AWS, Azure, or GCP and enterprise data sources.
- Troubleshoot and resolve data pipeline issues, ensuring high availability and data quality.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
