11+ Microsoft App-V Jobs in Chennai | Microsoft App-V Job openings in Chennai

Hi All,

We are hiring Data Engineer for one of our client for Bangalore & Chennai Location.


Strong Knowledge of SCCM, App V, and Intune infrastructure.

Powershell/VBScript/Python,

Windows Installer

Knowledge of Windows 10 registry

Application Repackaging

Application Sequencing with App-v

Deploying and troubleshooting applications, packages, and Task Sequences.

Security patch deployment and remediation

Windows operating system patching and defender updates

Thanks,
Mohan.G

Role Description

Eligibility:

1. An ex-serviceman preferably with civil work experience in security/training.

2. Age- preferably

3. Preferably from Infantry.

4. If civilian – min 05 years work experience as training manager in the field of security.

Qualifications

• Training & Development and Employee Training skills
• Excellent Communication skills, both oral and written
• Strong Analytical Skills
• Experience in creating and delivering successful training programs
• Demonstrated ability to work well within a team as well as with individuals across all levels of the organization
• Keen attention to detail and demonstrated ability to prioritize and manage multiple tasks effectively
• Bachelor's degree in a relevant field such as Human Resources, Education, Organizational Behavior, or related field
• Additional training or certification in training and development is a plus
• Prior work experience in the security industry is preferred

Key Responsibility Areas:

• Should have excellent knowledge of Swift and Objective C
• Good working knowledge in Cocoa Touch
• Experience with performance and memory tuning with tools
• Experience with memory management & caching mechanisms specific to mobile devices
• Experience with third-party libraries and APIs
• Experience working with Core Data, Realm
• Understanding of the full mobile development life cycle
• Experience in publishing apps to the App Store.
• Code version tool – Git, Bitbucket
• Design Pattern - MVC and MVVM, MVP
• Must be able to provide individual or project oversight on rapid prototyping/POC 
• efforts and large scale enterprise wide roll out planning.
• Must be familiar with software development methodologies like Agile, Waterfall, Iterative etc.
• Must have strong analytical skills and should be able to define and build competency assets – estimators, tools, reusable assets, scripts, etc.
• Must have strong communication and customer interfacing skills with particular emphasis on Scope and Requirements Management
• Experience in IoT domain will be a big plus

Required Skills:

• Experience in publishing apps to the App Store.
• Code version tool – Git, Bitbucket
• Design Pattern - MVC and MVVM, MVP
• Must be able to provide individual or project oversight on rapid prototyping/POC 
• efforts and large scale enterprise wide roll out planning.
• Must be familiar with software development methodologies like Agile, Waterfall, Iterative etc.

Job Description

Cyber Threat Intelligence & Threat Hunting - Subject Matter Expert (B3-2)

Responsibilities:

Perform threat research, create actionable threat advisories, and derive hunting queries based on the evolving threat vectors.

Understand APT groups, Conduct deep dive technical analysis of cyber-attack tools, tactics, and procedures. Create hypothesis and perform active threat hunting.

Minimum Requirements:

10+ years of overall experience, 7+ years of experience in cyber threat intelligence, malware analysis (Reverse engineering)

Hands-on experience with writing threat hunting hypothesis & active threat hunting

Experience with YARA rule and OpenIOC signature creation.

Experience with multi-tiered mission-critical systems.

Experience in opensource sandbox and honeypots.

Preferred Certification

GIAC Cyber Threat Intelligence (GCTI)

C| TIA (Certified Threat Intelligence Analyst)

CCTIA by the NICCS

Job Title: Engineering Manager

Job Location: Chennai, Bangalore
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

• 6 - 10 years’ experience in Oracle EBS (Techno-Functional)
• Experience in implementation, Support, and upgrade projects
• Experience at least in 2 R12.2 upgrade projects.
• Experience in Oracle EBS R12.2.7 or Higher versions of R12.
• Strong knowledge in SQL/PLSQL, Reports, Forms, and workflow. OAF is added advantage.
• At least 40% functional knowledge in SCM and Manufacturing (Modules: PO, OM, INV, WIP, BOM, Quality and Engineering)
• Excellent verbal and written communication skills

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification

Solinas Integrity (www.solinas.in) is a leading water & sanitation robotics start-up founded by IIT Madras Alumni & professors to develop cutting edge solutions to solve the problems in water pipelines and sewer lines\septic tanks, thereby improving the lives of millions of people. Our core values start with trust, and respect for everyone and along with strong collaboration and communication. We believe in giving agency to our teammates and strongly pushing them towards developing a growth mindset.

Duties and Responsibilities:

• To develop and improve signal processing algorithms for analysis of acoustic signals with up-to-date knowledge on processing methods.
• Understand key acoustic algorithm functions, develop efficient code, verify performance and functionality.
• Exposure to all phases of software development life cycle (concept, design, implementation, test, and production).
• Propose innovations to improve performance, quality, etc.
• Work with peers to develop excellent, structured code, well-optimized and easily maintainable.

Basic Qualifications:

● Experience programming in either Python, C++, or MATLAB

● MS/PhD degree in Electrical/Electronics Engineering/ Signal processing

● At least 1 year of signal processing or related area

● Good analytical and problem-solving skills

● Good knowledge of signal processing techniques, basic knowledge of ML algorithms and good visualisation skills.