Quick Overview
Job Description
Key Responsibilities
Design and set up enterprise data lake and lakehouse solutions using Azure and Databricks
Develop and implement scalable data solutions using Azure Data Factory, Azure Data Lake Storage, and Databricks
Develop complex data processing and transformation solutions using Python, PySpark, and SQL
Design and implement CI/CD processes using tools such as Jenkins and GitHub
Apply lakehouse architecture and Databricks FinOps practices to support efficient and cost-effective data platforms
Work with relational and NoSQL databases as part of enterprise data solutions
Develop, troubleshoot, and optimize complex code and resolve technical issues
Implement and support observability capabilities using tools such as Dynatrace
Collaborate with stakeholders to understand business and technical requirements and independently deliver robust solutions
Apply strong problem-solving skills to address complex data engineering and platform challenges
Required Qualifications
13+ years of experience
Mandatory
Skills
Azure Cloud Platform
Azure Data Factory
Azure Data Lake Storage
Azure Databricks
SQL
Python
PySpark
Java
CI/CD
Relational Databases
NoSQL Databases
Observability
Code Optimization and Troubleshooting
Business Intelligence Tools
Power BI Dashboard Development
AI Technologies
Model Context Protocol
Data Lakehouse Architecture
Databricks FinOps
Stakeholder Management
Requirements Gathering
Analytical Problem Solving
Independent Solution Delivery
Retail Banking Domain Experience
Capital Markets Domain Experience
Securities Processing Domain Experience
Schedule
Start date: 2026-10-08
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