Design, develop, and maintain data pipelines using Databricks and related technologies
Job Summary
Design, develop, and maintain data pipelines using Databricks and related technologies.
Build and optimize ETL/ELT processes for large-scale data processing and work with structured and unstructured data.
Collaborate with stakeholders including data analysts, developers, and business teams to understand data needs and ensure data quality, integrity, and governance.
Matching Summary
Design, develop, and maintain data pipelines using Databricks and related technologies.
Skills & Requirements
Must-have
Databricks hands-on experience
Python and/or SQL proficiency
Data pipeline development
Modern data architectures
Version control tools (Git)
Nice-to-have
Collaborating with cross-functional teams
Fast-paced environment experience
Strong problem-solving skills
Attention to detail
Key Requirements
Mid-level Data Engineer
Minimum 2+ years of experience
Familiarity with cloud platforms (Azure, AWS, GCP)