HR Manager

Job title:  DLP Engineer 

Work Location: Delhi

Division/Department: Technical

Requirement Severity: Immediate

Job Description:.

• Deploy and configure DLP solutions such as Forcepoint, CoSoSys, or Netskope across endpoints, networks, and cloud environments.
• Customize DLP policies and rules to address organizational data security needs.
• Continuously monitor data flow and detect unauthorized access or data exfiltration attempts.
• Analyze DLP alerts and logs to identify potential threats and escalate as necessary.
• Develop, implement, and manage DLP policies to prevent data breaches and leaks.
• Integrate DLP solutions with other security tools, including SIEM.
• Provide technical support for DLP tools and resolve related issues promptly.
• Stay updated with the latest trends and advancements in DLP technologies, particularly Forcepoint, CoSoSys, and Netskope.

Skill Requirements:

• Good communication skills.

Mandatory Requirements:

• 2 years’ experience in the installation of Forcepoint Cososys or Netskope.
• Should have own conveyance.

Education and/or Work Experience Requirements: 

• 2 years’ experience in the installation of Forcepoint Cososys or Netskope.
• Must be able to work under pressure and meet deadlines, while maintaining a positive attitude and providing exemplary customer service.
• Ability to work independently and carry out assignments to completion within the instructions' parameters.

Job Requirements: 

Minimum Experience: 2 years

Working Days: 6 days working, Monday to Saturday (3rd Saturday off)

Role: Angular JS Developer
Exp: 3+ Years

Notice Period Duration - 30 days and under / Serving Notice Period

Job description:- 

• Strong experience of Angular 2+ and above along with other technologies like HTML5, CSS, jQuery, AJAX with good knowledge of ECMA Scripts.
• Strong knowledge of JS Fundamentals.
• Design & development of Angular applications as per desired specifications, along with experience in frameworks/libraries like jQuery, Bootstrap, Typescript etc.
• Architecture design, development, testing and maintenance of Web Apps, Implementation based on Angular Application MVC Patterns.
• Own end to end product modules/features (from the requirement to going live)- Design & code review, troubleshoot & help team members on issues.
• Gather requirements by interacting directly with the end-users.
• Research on open source framework/technology required for developing the feature/application.

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

Headquartered in Silicon Valley, Gupshup is a global leader in cloud messaging, enabling businesses to build engaging conversational experiences, seamlessly across 30+ messaging channels, using a globally available cloud API.

Gupshup handles over 4.5 billion messages per month and has processed over 225 billion messages, enabling over 36,000 businesses to engage nearly a billion users across channels including SMS, WhatsApp, Facebook Messenger, Twitter, WeChat, Viber, Slack, Android RCS, Mobile App and Mobile Web.

Gupshup offers a comprehensive product portfolio that includes an easy to use omni-channel messaging API, advanced bot building platform and mobile marketing tools. Gupshup has also forged strategic partnerships with Facebook, WhatsApp, Google and Cisco to offer innovative mobile messaging solutions with broad reach.

You could log on to https://www.gupshup.io/developer/home">https://www.gupshup.io/developer/home for more information.

Location: Mumbai (Goregaon East )

Roles and Responsibilities:

• Experienced in Java and associated technologies.
• Should have worked with highly scalable web applications
• Good debugging capability
• Should be able to search through logs on server and narrow down to root cause of functional issue from stack trace or performance issue from logs of latency of different components.
• Product development experience in agile environment will be a big plus though not mandatory.
• Highly Tech Savvy and hands-on. Good exposure into design patterns
• Good understanding of OOPS concepts.
• Experience of working with open source technology and tools.

Regards,
Tina Dsouza