Design, develop, and maintain scalable data solutions across Azure Synapse, Azure Databricks, and Data Lakehouse environments
Implement and optimize ETL/ELT processes for ingesting, transforming, and serving data across multiple business domains
Develop and maintain data processing solutions using Python, SQL, and Apache Spark
Support migration and modernization initiatives, including Unity Catalog adoption, platform upgrades, and data platform transformations
Build and maintain Databricks workflows, Delta Live Tables (DLT), metadata-driven frameworks, and orchestration processes
Collaborate with architects, analysts, and business stakeholders to translate business requirements into technical solutions
Ensure data quality, reliability, performance, and security across the data platform
Troubleshoot production incidents, perform root cause analysis, and implement corrective actions
Contribute to CI/CD, infrastructure automation, monitoring, logging, and operational best practices
Optimize data pipelines, storage structures, and processing workloads for efficiency and cost reduction
Participate in solution and architecture reviews while promoting engineering standards and governance principles
Support knowledge sharing, mentoring, and technical development within the team
Collaborate with Data Architects and platform teams to align solutions with enterprise data architecture, Lakehouse principles, and governance requirements
Support reporting, analytics, and AI/ML initiatives by providing reliable and scalable data foundations
Requirements:
Strong experience with Apache Spark, Python, and SQL
Hands-on experience with Azure Cloud, Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Azure Data Explorer
Proven experience in building and maintaining ETL/ELT processes
Practical experience with Databricks, Delta Live Tables (DLT), and Unity Catalog
Understanding of Lakehouse architecture, data governance, security, compliance, and operational excellence
Familiarity with CI/CD, Azure DevOps, infrastructure automation, monitoring, and logging
Strong analytical and problem-solving skills
Ability to work independently with a high level of ownership and accountability
Proactive approach to identifying risks, blockers, and improvement opportunities
Strong communication and stakeholder management skills across technical and business teams
Experience working in dynamic environments with frequently changing priorities and cross-functional teams
Ability to make pragmatic decisions and deliver results despite incomplete requirements
Adaptability, resilience, self-organization, and ability to independently drive initiatives and propose practical solutions
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