
Azure Data Lead
About the role
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.
Key Responsibilities
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Lead and manage end-to-end data engineering projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.
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Collaborate with stakeholders to gather and understand requirements for data pipelines and analytics solutions.
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Design and develop etl processes, data models, and data integration solutions.
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Provide technical guidance and mentorship to the team members.
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Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.
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Troubleshoot and optimize data pipelines and processes for performance and efficiency.
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Stay updated on the latest trends and technologies in data engineering and contribute to continuous improvement efforts.
Skill Requirements
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Proficiency in azure data factory (adf) and azure databricks for building and managing data pipelines.
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Strong experience with sql and oracle pl/sql for data querying and manipulation.
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Advanced programming skills in python for scripting and data processing tasks.
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Knowledge of data modeling, data warehousing concepts, and database design principles.
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Ability to work in a collaborative team environment and communicate effectively with stakeholders.
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Strong analytical and problem-solving skills with attention to detail.
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Experience in data visualization tools and techniques is a plus.
Other Requirements
1.Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.
Required skills
Azure Data Factory
Azure Databricks
SQL
Oracle PL/SQL
Python
ETL
Data modeling
Data governance
About HCL Technologies
Jersey City
Headquarters