Senior Manager

• Design Databricks-based data architectures and models to meet business requirements

• Develop event-driven and scalable GenAI application architectures

• Refactor and rehost legacy applications onto cloud platforms

• Design, develop, and optimize data pipelines and ETL processes using Azure Databricks (PySpark /Spark SQL).

• Implement data security best practices and ensure compliance with industry standards

• Collaborate with data architects, analysts, and other developers to deliver data solutions aligned with business requirements.

• Translate business requirements into technical solutions

• Perform data wrangling, cleansing, transformation, and aggregation from multiple sources.

• Implement and maintain data lake and data warehouse solutions using Azure services (ADLS, Synapse, Delta Lake).

• Monitor pipeline performance, troubleshoot issues, and ensure data integrity and reliability.

• Develop and maintain CI/CD pipelines for Databricks workflows and jobs.

• Participate in code reviews, unit testing, and documentation of data processes.

• Strong experience with Databricks, Delta Lake, PySpark/Scala Spark, and Unity Catalog.
• Proficiency in Python, SQL, and familiarity with relational and NoSQL databases
• Experience with cloud platforms (Azure, AWS, GCP) and Infrastructure as Code tools
• Knowledge of CI/CD, DevSecOps, Kafka, MLFlow, and Structured Streaming
• Solid understanding of Azure Data Services: Azure Data Lake Storage (ADLS), Azure Data Factory (ADF)
• Strong problem-solving skills and ability to work independently or as part of a team.
• Databricks certifications (e.g., Certified Data Engineer, Associate Developer) preferred
• Excellent communication skills.

EXL Service