Azure Databricks Developer - Data Engineering

Roles & Responsibilities :- Design, develop, and deliver scalable end-to-end data pipelines using Azure Data Factory, ensuring robust integration of enterprise-wide data from diverse sources.- Build and optimize data engineering workflows using Databricks and PySpark.- Write efficient, high-performance SQL for data transformation and analysis.- Work with the Azure Cloud platform and associated services, applying strong understanding of data warehousing, data models, and pipelines.- Provide technical leadership to a team of developers, including code reviews and enforcing best practices across the development lifecycle.- Oversee CI/CD implementation using Azure DevOps, managing deployments across development, QA, and production environments with proper change control processes.- Collaborate with cross-functional teams to translate business requirements into scalable data solutions.- Ensure data quality, reliability, and performance across all pipelines and platforms.Requirements :- Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.- Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.- Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.- Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.- Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.- Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.- Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.- Immediate joiners or candidates who can join within 15 days. (ref:hirist.tech) .