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Technical Lead
Chubb
posted 6d ago
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Flexible timing
Key skills for the job
Job Description
Location : Bangalore( preferred ) or Hyderabad
Mandatory : Azure data factory & Databricks.
Look candidates who can join quickly, within a 30-day timeframe
Experience 5-7 years
- Design and implement end-to-end data processing pipelines using Azure Data Factory and Databricks . This involves extracting data from various sources, transforming it to meet specific business requirements, and loading it into target data repositories.
- Integrate data from on-premises systems, third-party sources, and external APIs using Azure Data Factory. Develop efficient workflows and data transfer mechanisms to ensure high-quality, consistent, and reliable data ingestion.
- Optimize data processing pipelines and SQL queries to improve performance and reduce latency. Utilize query optimization techniques and data partitioning strategies to accelerate data processing.
- Implement and manage data repositories on Azure, such as Azure Data Lake Storage or Azure SQL Data Warehouse. Define and enforce data governance policies and security measures to protect sensitive data.
- Monitor data pipelines, jobs, and workflows to identify and resolve any issues or bottlenecks. Perform regular performance tuning, error handling, and troubleshooting to ensure smooth data processing.
- Stay updated with the latest advancements in Azure Data Factory and Databricks technologies. Continuously identify areas for improvement, automate repetitive processes, and enhance data engineering practices to drive efficiency and deliver high-quality data solutions.
- Collaborate with solution architects to design scalable and reliable data architectures in Azure, incorporating Azure Data Factory and Databricks components. Provide guidance on data modeling, data flow, and data integration patterns.
- Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions. Document data pipelines, workflows, and technical specifications for future reference and knowledge sharing.
- Implement data governance and security best practices to ensure compliance with regulatory requirements and industry standards. Establish data access controls, data encryption, and data classification mechanisms.
- Stay up-to-date with industry trends to leverage advanced capabilities and optimize data engineering practices.
- Good to have knowledge in Snowflake.
Location : Bangalore( preferred ) or Hyderabad
Mandatory : Azure data factory & Databricks.
Look candidates who can join quickly, within a 30-day timeframe
Experience 5-7 years
- Design and implement end-to-end data processing pipelines using Azure Data Factory and Databricks . This involves extracting data from various sources, transforming it to meet specific business requirements, and loading it into target data repositories.
- Integrate data from on-premises systems, third-party sources, and external APIs using Azure Data Factory. Develop efficient workflows and data transfer mechanisms to ensure high-quality, consistent, and reliable data ingestion.
- Optimize data processing pipelines and SQL queries to improve performance and reduce latency. Utilize query optimization techniques and data partitioning strategies to accelerate data processing.
- Implement and manage data repositories on Azure, such as Azure Data Lake Storage or Azure SQL Data Warehouse. Define and enforce data governance policies and security measures to protect sensitive data.
- Monitor data pipelines, jobs, and workflows to identify and resolve any issues or bottlenecks. Perform regular performance tuning, error handling, and troubleshooting to ensure smooth data processing.
- Stay updated with the latest advancements in Azure Data Factory and Databricks technologies. Continuously identify areas for improvement, automate repetitive processes, and enhance data engineering practices to drive efficiency and deliver high-quality data solutions.
- Collaborate with solution architects to design scalable and reliable data architectures in Azure, incorporating Azure Data Factory and Databricks components. Provide guidance on data modeling, data flow, and data integration patterns.
- Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions. Document data pipelines, workflows, and technical specifications for future reference and knowledge sharing.
- Implement data governance and security best practices to ensure compliance with regulatory requirements and industry standards. Establish data access controls, data encryption, and data classification mechanisms.
- Stay up-to-date with industry trends to leverage advanced capabilities and optimize data engineering practices.
- Good to have knowledge in Snowflake.
Employment Type: Full Time, Permanent
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People are getting interviews at Chubb through
People are getting interviews through
(based on 33 Chubb interviews)
Job Portal
Campus Placement
Referral
Walkin
Company Website
34%
21%
15%
9%
6%
15% candidates got the interview through other sources.
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What people at Chubb are saying
Rating based on 22 Technical Lead
reviews
Anonymous · Software Development
in Bengaluru
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Read 22 reviewsTechnical Lead salary at Chubb
reported by
179
employees
with 9-15
years exp.
₹16.1
L/yr - ₹46
L/yr
73%
more
than the average Technical Lead Salary in India
View more details
What Chubb employees are saying about work life
based on 162 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Chubb Benefits
Submitted by Company
Health and Welfare Benefits Insurance Benefits Upskilling Benefits Savings and Investment plans
Submitted by Employees
Work From Home 
Free Food 
Health Insurance 
Education Assistance 
Cafeteria 
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