Senior Data Lead
Location: Fremont California
Type: Contract 1099 Full-Time
Job Summary
The Senior Technical Lead will be responsible for leading the technical aspects of projects related to Azure Data Factory (ADF) Azure Databricks SQL Oracle PL/SQL and Python. The role involves designing developing and maintaining data pipelines and ETL processes while ensuring high performance and scalability of data solutions.
Key Responsibilities
- Lead the end-to-end technical implementation of data projects using azure data factory Azure Databricks SQL Oracle PL/SQL and Python.
- Design and develop efficient and reliable ETL processes for large datasets.
- Collaborate with cross functional teams to understand business requirements and translate them into technical solutions.
- Optimize data workflows troubleshoot issues and ensure data quality and integrity.
- Implement best practices for data security governance and compliance.
- Provide technical guidance mentoring and support to junior team members.
- Stay current with the latest trends and technologies in data engineering and analytics.
Skill Requirements
- Proficiency in azure data factory (ADF) and Azure Databricks for data integration and processing.
- Strong skills in writing complex SQL queries for data manipulation and analysis.
- Experience with Oracle PL/SQL for database development and management.
- Proficient in python programming language for automation and scripting tasks.
- Solid understanding of data warehousing concepts ETL processes and data modeling.
- Ability to work in a fast-paced environment and manage multiple priorities effectively.
- Excellent problem-solving skills and attention to detail.
- Strong verbal and written communication skills that include professional interpersonal skills for effective collaboration with team members and stakeholders.
Certifications: Relevant certifications in Azure Data Factory Azure Databricks SQL Oracle or Python would be a plus.
Senior Data Lead Location: Fremont California Type: Contract 1099 Full-Time Job Summary The Senior Technical Lead will be responsible for leading the technical aspects of projects related to Azure Data Factory (ADF) Azure Databricks SQL Oracle PL/SQL and Python. The role involves designing developi...
Senior Data Lead
Location: Fremont California
Type: Contract 1099 Full-Time
Job Summary
The Senior Technical Lead will be responsible for leading the technical aspects of projects related to Azure Data Factory (ADF) Azure Databricks SQL Oracle PL/SQL and Python. The role involves designing developing and maintaining data pipelines and ETL processes while ensuring high performance and scalability of data solutions.
Key Responsibilities
- Lead the end-to-end technical implementation of data projects using azure data factory Azure Databricks SQL Oracle PL/SQL and Python.
- Design and develop efficient and reliable ETL processes for large datasets.
- Collaborate with cross functional teams to understand business requirements and translate them into technical solutions.
- Optimize data workflows troubleshoot issues and ensure data quality and integrity.
- Implement best practices for data security governance and compliance.
- Provide technical guidance mentoring and support to junior team members.
- Stay current with the latest trends and technologies in data engineering and analytics.
Skill Requirements
- Proficiency in azure data factory (ADF) and Azure Databricks for data integration and processing.
- Strong skills in writing complex SQL queries for data manipulation and analysis.
- Experience with Oracle PL/SQL for database development and management.
- Proficient in python programming language for automation and scripting tasks.
- Solid understanding of data warehousing concepts ETL processes and data modeling.
- Ability to work in a fast-paced environment and manage multiple priorities effectively.
- Excellent problem-solving skills and attention to detail.
- Strong verbal and written communication skills that include professional interpersonal skills for effective collaboration with team members and stakeholders.
Certifications: Relevant certifications in Azure Data Factory Azure Databricks SQL Oracle or Python would be a plus.
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