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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data pipelines and integration solutions using Databricks and cloud technologies.
Build and optimize ETL/ELT processes for large-scale data environments, focusing on performance, scalability, and reliability.
Collaborate with business and technical stakeholders; provide ongoing support and enhancements for enterprise data platforms.
Minimum Requirements
Hands-on experience with Databricks, PySpark, Apache Spark, and SQL.
Experience building and managing ETL/ELT pipelines in cloud environments (Azure, AWS, or GCP).
Knowledge of Delta Lake, Databricks Workflows, Unity Catalog, data modeling, and data warehousing concepts.
Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
Skilled in cloud data platform development and support, particularly with Databricks and Azure technologies.
Experienced in optimizing complex data pipelines for large-scale environments emphasizing data quality, governance, and security compliance.
Comfortable working in Agile environments and coordinating with multiple stakeholders for data solution delivery.