Azure Data Lead - Data Factory

Job Summary The Technical Lead will be responsible for overseeing and leading projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and implementing data solutions while ensuring they meet the business requirements and align with best practices. (1.) Key Responsibilities

• Lead and manage end-to-end data engineering projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.
• Collaborate with stakeholders to gather and understand requirements for data pipelines and analytics solutions.
• Design and develop etl processes, data models, and data integration solutions.
• Provide technical guidance and mentorship to the team members.
• Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.
• Troubleshoot and optimize data pipelines and processes for performance and efficiency.
• Stay updated on the latest trends and technologies in data engineering and contribute to continuous improvement efforts.

Skill Requirements

• Proficiency in azure data factory (adf) and azure databricks for building and managing data pipelines.
• Strong experience with sql and oracle pl/sql for data querying and manipulation.
• Advanced programming skills in python for scripting and data processing tasks.
• Knowledge of data modeling, data warehousing concepts, and database design principles.
• Ability to work in a collaborative team environment and communicate effectively with stakeholders.
• Strong analytical and problem-solving skills with attention to detail.
• Experience in data visualization tools and techniques is a plus.

Certifications: Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.

Skill (Primary) Data Fabric-Azure-Azure Data Factory (ADF)

Skills:- Azure, databricks and Python