
Only 24h Left: Databricks Developer
3 weeks ago
Job Description
Databricks Developer
Key skills Databricks, PySpark, SQL
Experience in credit rating (Structured Finance Domain) is a must.
Min 8 years of relevant exp is required.
We are seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, PySpark, and data architecture to join our data engineering team. The ideal candidate will have hands-on experience implementing medallion architecture, building scalable pipelines, and integrating data across diverse enterprise systems.
Key Responsibilities
Design and develop scalable data pipelines using Databricks, PySpark, and SQL
Implement and optimize medallion architecture (bronze, silver, gold layers) for structured and semi-structured data
Utilize Lakehouse connectors, Delta Live Tables (DLT), and Delta Sharing for real-time and batch data processing
Extract data from various enterprise systems including Salesforce (SFDC), SAP, and other cloud applications
Integrate curated datasets from Databricks into downstream systems such as data warehouses, reporting tools, and APIs
Apply SCD Type 2 logic for slowly changing dimensions using Databricks best practices
Ensure data quality, lineage, and governance across the pipeline lifecycle
Collaborate with cross-functional teams in Agile environments to deliver high-impact data solutions
Required Skills:
Proven expertise in Databricks, PySpark
Working knowledge of SQL with ability to support and troubleshoot existing queries.
Strong analytical thinking and problem-solving skills
Excellent communication and stakeholder engagement abilities
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