VP Marketing (IT)

Role & Responsibilities

We are building our founding team and are looking for folks who are excited to get their hands dirty in a 0 to 1 journey. If you are expecting a fully working playbook that you can execute upon, Zenskar is probably not the right fit for you at this point. However, if you are excited about creating the playbook from scratch and scaling the existing playbook, we would love to hear from you

You will directly work with the founders.

Outbound sales is a critical to generating meetings with qualified prospects. You will lay the foundation for and execute upon our outbound sales strategy.

The primary objective is to generate leads and setup meetings with qualified prospects by optimizing our outbound sales machinery - iterating on channels, messaging, ICP (ideal customer profile), tooling etc.

Senior Data Engineer Job Description

Overview

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and

infrastructure to support data-driven decision-making and advanced analytics. This role requires deep

expertise in data engineering, strong problem-solving skills, and the ability to collaborate with

cross-functional teams to deliver robust data solutions.

Key Responsibilities

Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data

pipelines to ingest, process, and transform large volumes of structured and unstructured data.

Data Architecture: Architect and maintain data storage solutions, including data lakes, data

warehouses, and databases, ensuring performance, scalability, and cost-efficiency.

Data Integration: Integrate data from diverse sources, including APIs, third-party systems,

and streaming platforms, ensuring data quality and consistency.

Performance Optimization: Monitor and optimize data systems for performance, scalability,

and cost, implementing best practices for partitioning, indexing, and caching.

Collaboration: Work closely with data scientists, analysts, and software engineers to

understand data needs and deliver solutions that enable advanced analytics, machine

learning, and reporting.

Data Governance: Implement data governance policies, ensuring compliance with data

security, privacy regulations (e.g., GDPR, CCPA), and internal standards.

Automation: Develop automated processes for data ingestion, transformation, and validation

to improve efficiency and reduce manual intervention.

Mentorship: Guide and mentor junior data engineers, fostering a culture of technical

excellence and continuous learning.

Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high

availability and reliability of data systems.

Required Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,

or a related field.

Experience: 5+ years of experience in data engineering or a related role, with a proven track

record of building scalable data pipelines and infrastructure.

Technical Skills:

Proficiency in programming languages such as Python, Java, or Scala.

Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).

Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services

(e.g., Redshift, BigQuery, Snowflake).

Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and

data integration frameworks.

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed

systems.

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a

plus.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,

Google Professional Data Engineer) or relevant data engineering certifications.

Preferred Qualifica

Experience with real-time data processing and streaming architectures.

Familiarity with machine learning pipelines and MLOps practices.

Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data

pipelines.

Experience in industries with high data complexity, such as finance, healthcare, or

e-commerce.

Work Environment

Location: Hybrid/Remote/On-site (depending on company policy).

Team: Collaborative, cross-functional team environment with data scientists, analysts, and

business stakeholders.

Hours: Full-time, with occasional on-call responsibilities for critical data systems.

Roles & Responsibilities:

● Build and maintain relationships with corporate partners, ensuring a steady pipeline of internship and placement opportunities.

● Identify and onboard companies aligned with student profiles and institutional objectives.

● Address corporate and student queries promptly, maintaining a positive rapport.

● Provide networking tips and guide students on leveraging career opportunities effectively.

● Keep students informed about relevant competitions, internships, and entrepreneurial initiatives.

● Supervise career clubs, managing events, elections, and leadership meetings.

● Design mentorship programs and ensure seamless mentor-student relationships, gathering feedback and reporting progress regularly.

Qualifications and Skills:

● 2-5 years of experience in B2B sales, corporate relations, or career services roles, preferably in the education sector.

● Strong understanding of recruitment processes and employer expectations.

● Exceptional communication, negotiation, and relationship-management skills.

● Proven ability to handle multiple stakeholders and work in a fast-paced environment.

● Proficiency in MS Office Suite and CRM tools.

Solution Oriented Mindset

• Assist project in all technical aspects of tooling and DevOps
• Proactively lead tools new versions release cycle and documentation
• Proactively identify risks related to application /deliverables and propose a mitigation plan
• Provide custom solutions as per customer requirements

Autonomy & Problem Solving Mindset

• Work in complete autonomy to deliver project deliverables, for advanced technical deliverables, with required level of quality
• Must have troubleshooting skills

Agile Mindset

• Contribute to improvement of internal process, tooling, and quality process
• Design, build and collect technical materials as part of project executions in a spirit of reusability for future engagements and maintain knowledge on best practices, tools, and reusable components for CAST analysis

• Bring in industry best practices around creating and maintaining robust data pipelines for complex data projects with/without AI component
  • programmatically ingesting data from several static and real-time sources (incl. web scraping)
  • rendering results through dynamic interfaces incl. web / mobile / dashboard with the ability to log usage and granular user feedbacks
  • performance tuning and optimal implementation of complex Python scripts (using SPARK), SQL (using stored procedures, HIVE), and NoSQL queries in a production environment

• Industrialize ML / DL solutions and deploy and manage production services; proactively handle data issues arising on live apps
• Perform ETL on large and complex datasets for AI applications - work closely with data scientists on performance optimization of large-scale ML/DL model training
• Build data tools to facilitate fast data cleaning and statistical analysis
• Ensure data architecture is secure and compliant
• Resolve issues escalated from Business and Functional areas on data quality, accuracy, and availability
• Work closely with APAC CDO and coordinate with a fully decentralized team across different locations in APAC and global HQ (Paris).

•  Expert in structured and unstructured data in traditional and Big data environments – Oracle / SQLserver, MongoDB, Hive / Pig, BigQuery, and Spark
• Have excellent knowledge of Python programming both in traditional and distributed models (PySpark)
• Expert in shell scripting and writing schedulers
• Hands-on experience with Cloud - deploying complex data solutions in hybrid cloud / on-premise environment both for data extraction/storage and computation
• Hands-on experience in deploying production apps using large volumes of data with state-of-the-art technologies like Dockers, Kubernetes, and Kafka
• Strong knowledge of data security best practices
• 5+ years experience in a data engineering role
• Science / Engineering graduate from a Tier-1 university in the country
• And most importantly, you must be a passionate coder who really cares about building apps that can help people do things better, smarter, and faster even when they sleep

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.

We are seeking a skilled PHP Developer to join our dynamic team. The successful candidate will be responsible for developing and maintaining web applications using PHP, MySQL, HTML, CSS, and JavaScript.

Responsibilities:

• Design, develop, and maintain web applications using PHP and MySQL
• Create and maintain code documentation
• Collaborate with cross-functional teams to identify and prioritize new features
• Ensure the performance, security, and scalability of the web applications
• Troubleshoot and debug issues as they arise
• Stay up-to-date with new web technologies and programming languages
• Develop and integrate APIs with third-party applications
• Participate in code reviews and provide feedback to other developers

Requirements:

• Bachelor's degree in Computer Science or a related field
• At least 3 years of experience in PHP development
• Strong knowledge of PHP, MySQL, HTML, CSS, and JavaScript
• Familiarity with MVC frameworks such as Laravel, CodeIgniter, or CakePHP
• Experience with version control systems such as Git or SVN
• Understanding of responsive design principles and mobile development
• Knowledge of RESTful API design and implementation
• Ability to work independently and in a team environment
• Excellent problem-solving and analytical skills
• Strong communication skills

If you are a passionate and talented PHP Developer looking for an exciting opportunity to work with cutting-edge technologies, please submit your application today.

Job Responsibilities

• Manage, coordinate and arrange senior executives travel and travel-related activities, including hotel booking, transportation, and meal coordination
• Acting as the point of contact among executives, employees, clients and other external partners
• Manage correspondence flow in a timely and accurate manner
• Manage the MDs calendar and set up meetings
• Format information for internal and external communication memos, emails, presentations, reports
• Help prepare for meetings and accurately record the minutes from meetings.
• Screen and direct phone calls and distribute correspondence
• Organize and maintain the office filing system
• Maintain professionalism and strict confidentiality with all maters pertaining to the Company and all the senior executives.

Skills and Qualifications

• 4 - 8 years experience in a similar role reporting directly to upper management
• Excellent written and verbal communication skills
• Strong time-management skills and the ability to organize and coordinate multiple projects at once
• Proficiency in Microsoft Office, Virtual meeting platforms (Zoom, Google Meet etc) with an aptitude to learn new software and systems
• Familiar with international travel arrangements
• Flexible team player willing to do what it takes to get the job done; adaptable and enjoys a challenge
• Ability to maintain company confidences

Only Male Cadidate 

Must have Experience in HR field