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Solution Architect

Diverse Lynx India Pvt. Ltd. IND (Onsite) Full-Time

BI Architecture:-
Role Description

The Senior BI Architect/Developer will be responsible for developing, supporting and implementing business intelligence solutions.
In this role, you will apply BI/ Visualization expertise across the enterprise, build new solutions for reporting and analytics, including model development,
data visualizations, security and governance.
Will align with Practice and Delivery for solution building across different BI platforms
Will act as a COE for visualization track (Power BI and Tableau – Mandatory)
Should be aware of Legacy (Cognos BI, Oracle BI, SSRS - any one of them)


Roles & Responsibilities

Managing projects for data and analytics solutions that scale and adapt to accommodate growth using Power BI, Tableau, Qlik
Creating informative and interactive data visualizations/models using Power BI
Writing relational and multidimensional database queries and designing custom-fit analysis and reporting solutions
Developing data and analytics solutions using Microsoft SQL, Power BI and Azure
Strong aptitude for modern BI solution development using BI tools (Power BI - Preferred)
Experience with business intelligence solution development and Power BI, including DAX and data modeling, data mart and data warehouse architecture
Hands-on, professional experience with Azure data/analytics platforms
Good in SQL and writing queries
Deep understanding of dimensional data modeling concepts as well as data warehouse design and lifecycle management principles
Experience designing and implementing enterprise business intelligence solutions using BI technologies, with a focus on Power BI, SQL Server, Tableau
Experience with both on-premise and cloud environments
Strong analytical, quantitative, problem solving and organizational skills
Attention to detail and ability to coordinate multiple tasks, set priorities and meet deadlines
Excellent Communication skills


Qualifications

Bachelor's degree in Computer Science, Business Administration or related field

Big Data Architect:
Experience: 12 to 14 Years
• 12- 14 years of IT experience with 3+ years of Data Architecture experience in Data Lake
• Technical Architect with real project experience in designing and developing Data Lake on Hadoop and AWS Services
• Clear understanding of Hadoop, Hive, AWS Lambda, AWS Glue and S3 best practices and optimization
• Experience in creating data lakes for AI and Machine Learning
• Develop Proof-of-Concept projects to validate new architectures and solutions.
• Maintain in-depth and current knowledge of the Cloud architecture, Data lake, Data warehouse, BI platform, analytics models platforms and ETL tools
• Well-versed with best practices around Data Governance and overall Data Quality initiatives
Technology Set: Hadoop, Hive, AWS S3, AWS Lambda, AWS Glue, Athena

Azure Architect:
Responsibilities:
• Develop and maintain scalable architecture, database design and data pipelines and build out new Data Source integrations to support continuing increases in data volume and complexity
• Design and Develop the Data lake, Data warehouse using Azure Cloud Services
• Assist in designing end to end data and Analytics solution architecture and perform POCs within Azure
• Drive the design, sizing, POC setup, etc. of Azure environments and related services for the use cases and the solutions
• Reviews the solution requirements support architecture design to ensure the selection of appropriate technology, efficient use of resources and integration of multiple systems and technology.
• Must possess good client-facing experience with the ability to facilitate requirements sessions and lead teams
• Support internal presentations to technical and business teams
• Provide technical guidance, mentoring and code review, design level technical best practices
Experience Needed:
• 12-15 years of industry experience and at least 3 years of experience in architect role is required along with at least 3 to 4 years' experience designing and building analytics solutions in Azure.
• Experience in architecting data ingestion/integration frameworks capable of processing structured, semi-structured & unstructured data sets in batch & real-time
• Hands-on experience in the design of reporting schemas, data marts and development of reporting solutions
• Develop batch processing, streaming and integration solutions and process Structured and Non-Structured Data
• Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and Azure Analysis Services and other ETL technologies.
• Experience in Perform Design, Development & Deployment using Azure Services ( Azure Synapse, Data Factory, Azure Data Lake Storage, Databricks, Python and SSIS)
• Worked with transactional, temporal, time series, and structured and unstructured data.
• Deep understanding of the operational dependencies of applications, networks, systems, security, and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux).
Mandatory Skills: Azure Synapse, Data Factory, Azure Data Lake Storage, Databricks, Python

Cloud Architect:
Overview:
• Develop solutions architecture and evaluate architectural alternatives for public and hybrid cloud models, including SaaS, IaaS, PaaS, and other cloud services in a large global environment that supports both business and customer needs.
• Ability to provide broad and deep technical leadership and cohesive architecture approaches for strategic efforts. Technical depth in customer facing systems from an application, infrastructure, operations, scalability, availability, performance, people, process, and tooling perspective.
• Work with a global team to gather requirements and implement solutions
• Work with application teams to design solutions and deploy applications in the cloud

Critical Responsibilities:

• Design and develop solutions based on a strategic business and technical requirements.
• Selecting the appropriate services based on data, compute, database, or security requirements. Identifying appropriate use of Cloud architectural best practices. Estimate costs and identify cost control mechanisms.
• Technical leadership in the full life cycle of the software environment. Working knowledge of software development tools and methodologies. Experience migrating or transforming legacy customer solutions to the cloud
• Ability to provide broad and deep technical leadership and cohesive architecture approaches for strategic efforts. Technical depth in customer facing systems from an application, infrastructure, operations, scalability, availability, performance, people, process, and tooling perspective.
• Capability to provide best practices for building secure and reliable applications on the AWS platform.
• Define deployment and operational procedures for applications and solutions that maximize the value of cloud services in support of Baxter requirements
• Drive scope definition, requirements analysis, functional and technical design, application build, product configuration, unit testing, and production deployment
• Ensure delivered solutions meet/perform to technical and functional/non-functional requirements
• Provide support and technical governance, expertise related to cloud architectures, deployment, and operations
• Act as the coach and mentor to team members and technical staff on their assigned project tasks
• Lead the definition and development of cloud reference architecture and management systems
• Conduct design reviews with team members

Education/Experience:

• Bachelor's degree in computer science, systems analysis or a related study, or equivalent experience
• 12 + years of relevant experience spanning at least two IT disciplines, including technical architecture, network management, application development, middleware, database management or operations
• Experience as a team lead preferred
• Experience with AWS and VMWare enterprise implementations
• Exposure to multiple, diverse technologies and processing environments
• Knowledge of all components of a technical architecture
• Knowledge of business process re-engineering principles and processes
• Strong understanding of network architecture and application development methodologies
• Strong understanding of SOA, object-oriented analysis and design, and/or client/server systems
• Experience working in a Life Sciences environment preferred

Candidate must have completed the following certifications:

• AWS Solutions Architect – Professional
• AWS DevOps Engineer – Professional
• GCP or Azure certifications desired

Technical Skills and Knowledge:

• Experience with infrastructure architecture, database architecture and networking.
• Reference architecture development
• AWS-based architectures, web-based applications, etc.
• DevOps on an AWS platform
• Professional experience architecting systems built with Amazon Web Services
• Professional experience operating systems build with Amazon Web Services.
• In-depth knowledge of at least one high-level programming language.
• Ability to identify and define requirements for Cloud-based applications.
• Experience with deploying hybrid systems with on-premises and Cloud components.
• Capability to provide best practices for building secure and reliable applications on the AWS platform.
• Experience using tools such as Bitbucket, Chef, Jenkins, and Artifactory.
• RDBMS (MySQL, AWS Aurora, Oracle, SQL Server, and Postgres) and NoSQL (Amazon DynamoDB, MongoDB, and Cassandra) data stores
• Implementing big data analytics w/ technologies like Hadoop, Amazon EMR, Amazon RedShift, and Amazon Kinesis

Soft Competencies:

•Strong verbal and written communication skills (content creation such as whitepapers, proof of concepts, patents, etc.). Ability to explain complex technology decisions to both technical and non-technical audiences at all levels in the organization.

Recommended Skills

  • Aws Lambda
  • Active Directory Group
  • Analytical
  • Apache Hadoop
  • Apache Hive
  • Architecture

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