Azure Specialist

Hybrid work mode

(Azure) EDW Experience working in loading Star schema data warehouses using framework

architectures including experience loading type 2 dimensions. Ingesting data from various

sources (Structured and Semi Structured), hands on experience ingesting via APIs to lakehouse architectures.

Key Skills: Azure Databricks, Azure Data Factory, Azure Datalake Gen 2 Storage, SQL (expert),

Python (intermediate), Azure Cloud Services knowledge, data analysis (SQL), data warehousing,documentation – BRD, FRD, user story creation.

Role – Sr. Devops Engineer

Location - Bangalore

Experience 5+ Years

Responsibilities

• Implementing various development, testing, automation tools, and IT infrastructure
• Planning the team structure, activities, and involvement in project management activities.
• Defining and setting development, test, release, update, and support processes for DevOps operation
• Troubleshooting techniques and fixing the code bugs
• Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
• Encouraging and building automated processes wherever possible
• Incidence management and root cause analysis.
• Selecting and deploying appropriate CI/CD tools
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
• Mentoring and guiding the team members 
• Monitoring and measuring customer experience and KPIs

Requirements

• 5-6 years of relevant experience in a Devops role.
• Good knowledge in cloud technologies such as AWS/Google Cloud.
• Familiarity with container orchestration services, especially Kubernetes experience (Mandatory) and good knowledge in Docker.
• Experience administering and deploying development CI/CD tools such as Git, Jira, GitLab, or Jenkins.
• Good knowledge in complex Debugging mechanisms (especially JVM) and Java programming experience (Mandatory)
• Significant experience with Windows and Linux operating system environments
• A team player with excellent communication skills.

• Creating and managing ETL/ELT pipelines based on requirements
• Build PowerBI dashboards and manage datasets needed.
• Work with stakeholders to identify data structures needed for future and perform any transformations including aggregations.
• Build data cubes for real-time visualisation needs and CXO dashboards.

Required Tech Skills

• Microsoft PowerBI & DAX
• Python, Pandas, PyArrow, Jupyter Noteboks, ApacheSpark
• Azure Synapse, Azure DataBricks, Azure HDInsight, Azure Data Factory

Azure DeVops

On premises to Azure Migration

Docker, Kubernetes

Terraform CI CD pipeline

9+ Location

Budget – BG, Hyderabad, Remote , Hybrid –

Budget – up to 30 LPA

*Performs analysis of functional and business requirements

*Applies in-depth or broad technical knowledge to maintain data engineering functions performs solution design.

*Applies the company, open source, and 3rd party technologies to highly complex infrastructure and software solutions.

*Introduce new product features and enhance the platform

*Ability to translate business reporting requirements into a production report.

• Consultant/freelancing role
• Design and build advanced high-quality applications in .Net,.Net Core, Azure or AWS. hands on programming on C#, Web API, NOSQL DB and Azure, AWS.
• Knowledge of software development life cycle.
• Able to handle and manage the projects independently.
• Should be hands on developer and write production level code flawlessly
• Will be involved in client interactions and gathering project requirements, suggest best solutions considering NFRs insights
• Someone with an ability to ensure the performance, quality, and responsiveness of applications.
• Ability to work within a rapidly evolving environment.
• Eager to learn and adapt to new technologies.
• Bring new ideas and technologies to the team that can improve our product or process.
• Help maintain code quality, unit test cases, documentation, etc

Job title: Azure Architect

Locations: Noida, Pune, Bangalore and Mumbai

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, Azure DW, Databricks, Python