Azure Data Lead
HCLTech
Azure Data Lead
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.
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.
Other Requirements
- Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.
Vacancy posted 2 days ago
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