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Technical Architect Big Data Analytics
Jobs
#399029
Full Time
Job Description
Job Title : Technical Architect
Location : Type : Contractual
Technical Skills : AWS Big Data Platform, Cloudera Distribution, data lake solutions, real-time : 10 - 11 Years
Synopsis
We are looking for a highly skilled Technical Architect with extensive experience in developing solutions focused on AWS and Big Data Analytics across diverse domains. The ideal candidate will have led enterprise architecture and solutioning efforts to define and develop Big Data components.
Role
This role requires deep knowledge of best practices in data-related disciplines and technologies, particularly for enterprise-wide data architectures, data management, data governance, and data :
• Solution Development : Develop solutions focused on AWS and Big Data Analytics across various domains.
• Enterprise Architecture : Lead enterprise architecture and solutioning efforts to define and develop Big Data components.
• Best Practices Implementation : Apply best practices in data-related disciplines and technologies for enterprise-wide data architectures, data management, data governance, and data warehousing.
• AWS Big Data Platform : Utilize expertise in AWS Big Data Platform and Cloudera Distribution to build large-scale data lake-based solutions.
• Real-Time Data Processing : Implement streaming real-time data processing using AWS.
• Data Modeling : Use data modeling tools such as Erwin and RDBMS NoSQL for data modeling.
• Data Virtualization : Implement data virtualization using tools like Denodo and Tibco.
• Data Compression : Apply expertise in data compression techniques.
• PII Data Handling : Handle PII data proficiently.
• PySpark Framework : Utilize proficiency in the PySpark framework.
• NoSQL and Snowflake : Apply expertise in NoSQL and Snowflake.
• Big Data Implementations : Oversee big data implementations including batch, stream, and real-time processing, ETL/ELT, and Hadoop.
• Tool and Technology Understanding : Understand tools and technologies available within the enterprise data analytics ecosystem and their functional purposes.
• Project Management : Drive projects, maintain clear communication between parties, own technical assessments, and manage IT implementation plans, governance, and progress reporting.
• Agile Practices : Implement and manage agile project management in the Spotlight :
Technical Skills
• AWS Big Data Platform, Cloudera Distribution, data lake solutions, real-time data processing, data modeling (Erwin, RDBMS NoSQL), data virtualization (Denodo, Tibco), data compression, PySpark framework, NoSQL, Snowflake, Hadoop, ETL/ELT.
Experience : Minimum of 10+ years of experience in relevant fields.
Best Practices
• Deep knowledge of best practices in enterprise-wide data architectures, data
management, data governance, and data warehousing.
Project Management
• Strong capability to drive projects, maintain communication, manage technical assessments, IT implementation plans, governance, and progress reporting.
Agile
• Expertise in agile project management practices.
Analytical Ecosystem
• Understanding of tools and technologies in the enterprise data analytics Values :
• Win with Ideas
• Sweat the Details
• Speed and Agility
• Time Matters
• Make Your Teammate Successful
• Deliver Great Customer Experiences
• Commit to Growth
Perks Health Insurance
• Kwench Library (Klib)
• Employee Assistance Program (Free Counseling Service)
• Hybrid Work Model
• Flexi Reimbursement Basket
• Paid Time Off
• Skill Development: Level up your skills with company-based sponsorship.
Location : Type : Contractual
Technical Skills : AWS Big Data Platform, Cloudera Distribution, data lake solutions, real-time : 10 - 11 Years
Synopsis
We are looking for a highly skilled Technical Architect with extensive experience in developing solutions focused on AWS and Big Data Analytics across diverse domains. The ideal candidate will have led enterprise architecture and solutioning efforts to define and develop Big Data components.
Role
This role requires deep knowledge of best practices in data-related disciplines and technologies, particularly for enterprise-wide data architectures, data management, data governance, and data :
• Solution Development : Develop solutions focused on AWS and Big Data Analytics across various domains.
• Enterprise Architecture : Lead enterprise architecture and solutioning efforts to define and develop Big Data components.
• Best Practices Implementation : Apply best practices in data-related disciplines and technologies for enterprise-wide data architectures, data management, data governance, and data warehousing.
• AWS Big Data Platform : Utilize expertise in AWS Big Data Platform and Cloudera Distribution to build large-scale data lake-based solutions.
• Real-Time Data Processing : Implement streaming real-time data processing using AWS.
• Data Modeling : Use data modeling tools such as Erwin and RDBMS NoSQL for data modeling.
• Data Virtualization : Implement data virtualization using tools like Denodo and Tibco.
• Data Compression : Apply expertise in data compression techniques.
• PII Data Handling : Handle PII data proficiently.
• PySpark Framework : Utilize proficiency in the PySpark framework.
• NoSQL and Snowflake : Apply expertise in NoSQL and Snowflake.
• Big Data Implementations : Oversee big data implementations including batch, stream, and real-time processing, ETL/ELT, and Hadoop.
• Tool and Technology Understanding : Understand tools and technologies available within the enterprise data analytics ecosystem and their functional purposes.
• Project Management : Drive projects, maintain clear communication between parties, own technical assessments, and manage IT implementation plans, governance, and progress reporting.
• Agile Practices : Implement and manage agile project management in the Spotlight :
Technical Skills
• AWS Big Data Platform, Cloudera Distribution, data lake solutions, real-time data processing, data modeling (Erwin, RDBMS NoSQL), data virtualization (Denodo, Tibco), data compression, PySpark framework, NoSQL, Snowflake, Hadoop, ETL/ELT.
Experience : Minimum of 10+ years of experience in relevant fields.
Best Practices
• Deep knowledge of best practices in enterprise-wide data architectures, data
management, data governance, and data warehousing.
Project Management
• Strong capability to drive projects, maintain communication, manage technical assessments, IT implementation plans, governance, and progress reporting.
Agile
• Expertise in agile project management practices.
Analytical Ecosystem
• Understanding of tools and technologies in the enterprise data analytics Values :
• Win with Ideas
• Sweat the Details
• Speed and Agility
• Time Matters
• Make Your Teammate Successful
• Deliver Great Customer Experiences
• Commit to Growth
Perks Health Insurance
• Kwench Library (Klib)
• Employee Assistance Program (Free Counseling Service)
• Hybrid Work Model
• Flexi Reimbursement Basket
• Paid Time Off
• Skill Development: Level up your skills with company-based sponsorship.
