Informatica Developer

Microsoft Azure Data Integration Engineer

Job Description: 

Microsoft Azure Data Integration Developer who will design and build cutting-edge user experiences for our client’s consumer-facing desktop application. The Senior Software Developer will work closely with product owners, UX designers, front-end, and back-end developers to help build the next-generation platform. 

Key Skills:

• 3+ years of experience in an enterprise or consumer software development environment using C# and designing and supporting Azure environments
• Expert level programming skills in creating MVC and Microservices architecture
• Experience with modern frameworks and design patterns like .Net core
• Strong knowledge of C# language
• Hands-on experience using the Azure administration portal and iPaaS
• Demonstrable experience deploying enterprise workloads to Azure
• Hands-on experience in Azure function apps, app service, logic apps and storage, Azure Key vault integration, and Azure Sql database.
• Solid understanding of object-oriented programming.
• Experience developing user interfaces and customizing UI controls/components

·      Microsoft Azure Certification, Business Continuity, or Disaster Recovery planning experience is a plus

Responsibilities:

• Architect, design & build a modern web application for consumers
• Explore configuring hybrid connectivity between on-premises environments and Azure, and how to monitor network performance to comply with service-level agreements.
• Collaborate with UI/UX teams to deliver high-performing and easy-to-use applications
• Participate in code reviews with staff as necessary to ensure a high-quality, performant product
• Develop a deep understanding of client goals and objectives, and articulate how your solutions address their needs
• Unit testing/test-driven development
• Integration testing
• Deploying Azure VMs (Windows Server) in a highly available environment
• Regularly reviewing existing systems and making recommendations for improvements.
• Maintenance
• Post-deployment production support and troubleshooting

Technical Expertise and Familiarity:

• Cloud Technologies: Azure, iPaaS
• Microsoft: .NET Core, ASP.NET, MVC, C#
• Frameworks/Technologies: MVC, Microservices, Web Services, REST API, Java Script, JQuery, CSS, Testing Frameworks
• IDEs: Visual Studio, VS Code
• Databases: MS SQL Server, Azure SQL
• Familiarity with Agile software development methodologies.
• Advanced knowledge of using Git source control system.
• Azure, AWS, and GCP certifications preferred.

Hi Folks!!

Currently we are hiring for Network Engineer for Top MNC

Roles and Responsibilities:

·      Providing support to the Enterprise level clients in configuration of the Wireless LAN Controllers, Access Points and CPPM server

·      Troubleshooting all kind of network and user connectivity issues post deployment

·      Fault localization and restoration of service over remote session

·      Handling POC cases and escalation tickets as well

·      Making configuration changes as per customer’s requirement and wireless environment

·      Co-ordinate with multi-vendors engineers to have successful user authentication like Layer-2 Security features 802.1x authentication, Port security and VLAN Mobility

·      Co-ordinate with L3 Engineers to resolve critical issues        

·      Effectively handle network outage issues and resolve them in a timely manner

·      Configuring Authentication and encryption in wireless networks with Clear pass

·      Working with AAA configuration, including AD, LDAP, RADIUS for Windows and MAC OS X platform

·      Reviewing the WLAN configuration of customers and identifying any configuration mistakes that could cause potential issues

·      Recreating/simulating the customer’s issues in the local lab to verify the issue and provide an effective resolution

·      Providing network support for client’s wired and wireless networks via remote management and telephone

·      Conduct technical discussion with level 1 engineers on weekly basis

Required Skills:

·      CCNA certified with Wireless Knowledge

·      Basic Knowledge on any of Aruba Clear Pass, FortiNAC, Cisco ISE NAC solution

·      Basic implementation skills on Aruba Clear Pass for Wired, Wireless and Guest NAC solution.

·      Must have experience in configuring switches, routers.

·      Must provide technical support for the team & projects during escalation.

·      Good understanding of dot1x, mac authentication and solution for BYOD

·      Capable to prepare HLD (high level design) and LLD (low level design) for new requirements.

Who we are

At Criteo, our culture is as unique as it is diverse. From our offices around the world or from home, our incredible team of 2,700 Criteos collaborates to develop an open and inclusive environment. We aim to create a place where people can grow and learn from each other while having a meaningful impact. We work together to achieve our goals, push boundaries, and share successes. All of this supports us in our mission to power the world’s marketers with trusted and impactful advertising.

At Criteo, we believe the future is wide open when it includes everyone. We are committed to creating an environment where all Criteos feel a sense of belonging. We nourish our diversity by listening to all cultures within Criteo - and there are many. We are proud to be a global team and conscious that it takes people with different perspectives, thoughts and cultures to succeed. We want you to come as you are so we can succeed together.

Big Data Engineer/Data Engineer


What we are solving
Welcome to today’s business data world where:
• Unification of all customer data into one platform is a challenge

• Extraction is expensive
• Business users do not have the time/skill to write queries
• High dependency on tech team for written queries

These facts may look scary but there are solutions with real-time self-serve analytics:
• Fully automated data integration from any kind of a data source into a universal schema
• Analytics database that streamlines data indexing, query and analysis into a single platform.
• Start generating value from Day 1 through deep dives, root cause analysis and micro segmentation

At Propellor.ai, this is what we do.
• We help our clients reduce effort and increase effectiveness quickly
• By clearly defining the scope of Projects
• Using Dependable, scalable, future proof technology solution like Big Data Solutions and Cloud Platforms
• Engaging with Data Scientists and Data Engineers to provide End to End Solutions leading to industrialisation of Data Science Model Development and Deployment

What we have achieved so far
Since we started in 2016,
• We have worked across 9 countries with 25+ global brands and 75+ projects
• We have 50+ clients, 100+ Data Sources and 20TB+ data processed daily

Work culture at Propellor.ai
We are a small, remote team that believes in
• Working with a few, but only with highest quality team members who want to become the very best in their fields.
• With each member's belief and faith in what we are solving, we collectively see the Big Picture
• No hierarchy leads us to believe in reaching the decision maker without any hesitation so that our actions can have fruitful and aligned outcomes.
• Each one is a CEO of their domain.So, the criteria while making a choice is so our employees and clients can succeed together!

To read more about us click here:
https://bit.ly/3idXzs0" target="_blank">https://bit.ly/3idXzs0

About the role
We are building an exceptional team of Data engineers who are passionate developers and wants to push the boundaries to solve complex business problems using the latest tech stack. As a Big Data Engineer, you will work with various Technology and Business teams to deliver our Data Engineering offerings to our clients across the globe.

Role Description
• The role would involve big data pre-processing & reporting workflows including collecting, parsing, managing, analysing, and visualizing large sets of data to turn information into business insights
• Develop the software and systems needed for end-to-end execution on large projects
• Work across all phases of SDLC, and use Software Engineering principles to build scalable solutions
• Build the knowledge base required to deliver increasingly complex technology projects
• The role would also involve testing various machine learning models on Big Data and deploying learned models for ongoing scoring and prediction.

Education & Experience
• B.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE 3+ years of experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions.

Must have (hands-on) experience
• Python and SQL expertise
• Distributed computing frameworks (Hadoop Ecosystem & Spark components)
• Must be proficient in any Cloud computing platforms (AWS/Azure/GCP)  • Experience in in any cloud platform would be preferred - GCP (Big Query/Bigtable, Pub sub, Data Flow, App engine )/ AWS/ Azure

• Linux environment, SQL and Shell scripting Desirable
• Statistical or machine learning DSL like R
• Distributed and low latency (streaming) application architecture
• Row store distributed DBMSs such as Cassandra, CouchDB, MongoDB, etc
. • Familiarity with API design

Hiring Process:
1. One phone screening round to gauge your interest and knowledge of fundamentals
2. An assignment to test your skills and ability to come up with solutions in a certain time
3. Interview 1 with our Data Engineer lead
4. Final Interview with our Data Engineer Lead and the Business Teams

Preferred Immediate Joiners

Responsibilities: 

• Design and code efficient, scalable systems that can accept feedback from multiple hundred thousand employees and generate insights 
• Design efficient and scalable event driven systems to process complex machine learning pipeline
• Experiment with data to come up with unique insights and that can benefit our clients
• Identify libraries and technologies worth experimentation
• Participate in brainstorming sessions to bring more value to our clients
• Investigate performance issues / scalability bottlenecks, existing queries and/or write new queries with performance optimization in mind
• Develop RESTful APIs that can be used by frontend to show insights
• Debug and fix production level bugs as and when they crop up
• Support ad hoc data analytics upon requests by clients, and believe us nothing creates a better DB understanding than handling ad hoc data requests 

Requirements: 

• 3+ years of experience in architecture and developing high performance web applications 
• Experience with systems ingesting/processing high amounts of data is a plus 
• In-depth understanding of the entire web development process (design, development, and deployment) 
• Experience with SQL and NoSQL database 
• Working knowledge of RESTful API paradigms  
• Experienced in microservices architecture  
• Solid engineering principles and a clear understanding of data structures and algorithms
• Passion for products, empathy for users, and aspiration to make a big impact
•