Looking for a Informatica MDM Lead

Required skills

• 4-8 years of web-based application development in Python/Django
• Experience in Terrafoam.
• Competence in using scripting languages to automate tasks (Perl, Bash, PowerShell, Ruby, Python/Django or similar).
• Experience in working with Linux/Unix platforms.

We are seeking a skilled and experienced React Native Developer to join our dynamic development team. As a React Native Developer, you will be responsible for designing, developing, and maintaining high-quality mobile applications using the React Native framework. You will collaborate closely with cross-functional teams, including product managers, designers, and backend developers, to create innovative and user-friendly mobile solutions.

• Extensive experience in designing & supporting Azure Managed Services Operations.  
• Maintaining the Azure Active Directory and Azure AD authentication. 
• Azure update management – Handling updates/Patching. 
• Good understanding of Azure services (Azure App Service, Azure SQL,  Azure Storage Account..etc). 
• Understanding of load balancers, DNS, virtual networks, NSG and firewalls in cloud environment. 
• ARM templates writing, setup automation for resources provisioning. 
• Knowledge on Azure automation and Automation Desire State Configuration. 
• Good understanding of High Availability and Auto scaling. 
• Azure Backups and ASR (Azure Site Recovery) 
• Azure Monitoring and Configuration monitoring (performance metrics, OMS) 
• Cloud Migration Experience(On premise to Cloud). 
• PowerShell scripting for custom tasks automation. 
• Strong experience in configuring, maintaining, and troubleshooting Microsoft based production systems. 
  
  Certification: 
  
  Azure Administrator (AZ-103) & Azure Architect (AZ-300 & AZ-301) 

• The CTO will set company’s technological vision and lead its execution.
• Responsible to build and scale an online B2B / B2C platform from the scratch
• Build a solid technical team across Software development, Architecture & design, Dev Ops / Infrastructure.

• Min 5 years of experience must have headed a full journey experience of scaling up software product & technology from scratch within a B2C or B2B environment during zero to one phase of the startup
• Proven ability to work in the intersection of technology and business to drive revenue growth. Must have experience of working in a start-up during zero to one phase along with Founder/s or at a Founder/s minus 1 level.
• Proven experience of building and leading engineering teams that have scaled along the journey.
• Must have experience managing teams across Software development, Architecture & design, Dev Ops / Infrastructure
• Candidate must have nuanced understanding of trade-offs among features, risks and costs.

What you need to have:

• Responsible for collecting all in-scope business requirements
• Able to prioritize requirements and negotiate on deployment timeframes on behalf of the development team
• Ability to perform detailed analysis to ensure all aspects of the business requirement are understood
• Able to formalize business requirements, ready for two way communication business communications up and technical communications down
• Capable of managing all non-technical aspects of the new requirements
• Capable of working with the test team to develop/ review test scripts and profile of test data
• Able to produce ad-hoc SQL queries/ ad-hoc reports that can be used to monitor success of the new requirement by ensuring data is being created as it should
• Must have worked on medium to large size custom application development projects and has exposure to all phases of the SDLC
• Experience in Insurance Domain is a must
• Proficient in using Microsoft Office tools
• Get actively involved in various project phases
• Act as a key interface between users and development teams
• Technology Graduate: B.Sc IT, MSc IT / B.Tech, M.Tech/ BCA, MCA

Responsibilities:

• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
• Verifying data quality, and/or ensuring it via data cleaning.
• Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
• To design and develop Machine Learning systems and schemes. 
• To perform statistical analysis and fine-tune models using test results.
• To train and retrain ML systems and models as and when necessary. 
• To deploy ML models in production and maintain the cost of cloud infrastructure.
• To develop Machine Learning apps according to client and data scientist requirements.
• To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.

Technical Knowledge:

• Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase. 
• Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
• Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark,  Pandas, Numpy and related libraries.
• Expert in visualising and manipulating complex datasets.
• Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
• Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
• Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
• Big data Technologies such as Hadoop stack and Spark. 
• Basic use of clouds (VM’s example EC2).
• Brownie points for Kubernetes and Task Queues.      
• Strong written and verbal communications.
• Experience working in an Agile environment.