Data Scientist

Overview

We are seeking an Azure Solutions Lead who will be responsible for managing and maintaining the overall architecture, design, application management and migrations, security of growing Cloud Infrastructure that supports the company’s core business and infrastructure systems and services. In this role, you will protect our critical information, systems, and assets, build new solutions, implement, and configure new applications and hardware, provide training, and optimize/monitor cloud systems. You must be passionate about applying technical skills that create operational efficiencies and offer solutions to support business operations and strategy roadmap.

Responsibilities:

• Works in tandem with our Architecture, Applications and Security teams
• Identify and implement the most optimal and secure Azure cloud-based solutions for the company.
• Design and implement end-to-end Azure data solutions, including data ingestion, storage, processing, and visualization.
• Architect data platforms using Azure services such as Azure Data Fabric, Azure Data Factory (ADF), Azure Databricks (ADB), Azure SQL Database, and One Lake etc.
• Develop and maintain data pipelines for efficient data movement and transformation.
• Design data models and schemas to support business requirements and analytical insights.
• Collaborate with stakeholders to understand business needs and translate them into technical solutions.
• Provide technical leadership and guidance to the data engineering team.
• Stay updated on emerging Azure technologies and best practices in data architecture.
• Stay current with industry trends, making recommendations as available to help keep the environment operating at it optimum while minimizing waste and maximizing investment.
• Create and update the documentation to facilitate cross-training and troubleshooting
• Work with the Security and Architecture teams to refine and deploy security best practices to identify, detect, protect, respond, and recover from threats to assets and information.

Qualifications:

• Overall 7+ years of IT Experience & minimum 2 years as an Azure Data Lead
• Strong expertise in all aspects of Azure services with a focus on data engineering & BI reporting.
• Proficiency in Azure Data Factory (ADF), Data Factory, Azure Databricks (ADB), SQL, NoSQL, PySpark, Power BI and other Azure data tools.
• Experience in data modelling, data warehousing, and business intelligence concepts.
• Proven track record of designing and implementing scalable and robust data solutions.
• Excellent communication skills with strong teamwork, analytical and troubleshooting skills, and attentiveness to detail.
• Self-starter, ability to work independently and within a team. 

NOTE: IT IS MANDATORY TO GIVE ONE TECHNICHAL ROUND FACE TO FACE.

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

Key Responsibilities

Provide technical support for KX products, ensuring system stability and optimal performance.

Diagnose and troubleshoot software, infrastructure, and performance-related issues.

Work closely with engineering teams to escalate and resolve complex product defects.

Assist customers with product deployments, configurations, and best practices.

Create and maintain technical documentation and knowledge base articles.

Lead root cause analysis (RCA) efforts.

Participate in an on-call rotation, including weekend work, to support critical incidents, system maintenance, or client needs outside regular business hours.

Required Skills & Experience

Experience in product or technical support for enterprise software.

Solid knowledge of Linux/Unix environments, system administration, and performance troubleshooting.

Experience with SQL and other database technologies.

Strong problem-solving skills and the ability to communicate effectively with both technical and non-technical stakeholders.

Preferred Qualifications

Proficiency in kdb+/q.

Experience with real-time data processing, high-frequency trading, or IoT applications.

Familiarity with networking concepts.

Hands-on experience with automation and scripting (Python, Shell, etc.).

ITIL certification or experience working in an ITIL-based support environment.

JOB REQUIREMENT:

Wissen Technology is now hiring a Azure Data Engineer with 7+ years of relevant experience.

 We are solving complex technical problems in the financial industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team, which has made a mark as a high-end technical consultant.

Required Skills:

· 6+ years of being a practitioner in data engineering or a related field.

· Proficiency in programming skills in Python

· Experience with data processing frameworks like Apache Spark or Hadoop.

· Experience working on Snowflake and Databricks.

· Familiarity with cloud platforms (AWS, Azure) and their data services.

· Experience with data warehousing concepts and technologies.

· Experience with message queues and streaming platforms (e.g., Kafka).

· Excellent communication and collaboration skills.

· Ability to work independently and as part of a geographically distributed team.

Job Description:

As a Lead Zoho Trainer, you will play a key role in developing a highly skilled internal talent pool by conducting comprehensive Zoho application training programs. You will be responsible for designing, implementing, and continuously improving learning curricula that enhance employees' expertise in Zoho CRM, Analytics, Creator, Desk, Projects, and other related Zoho applications.

Key Responsibilities:

• Design and develop structured training modules and content for various Zoho applications.
• Conduct regular training sessions (virtual & on-site) for internal employees, ensuring practical understanding and proficiency.
• Maintain updated knowledge of Zoho suite advancements, regularly revising training materials.
• Monitor trainee performance, provide feedback, and conduct assessments to ensure skill development aligns with organizational objectives.
• Mentor and guide junior trainers, building a strong internal training team.
• Collaborate with Project Managers, Implementation Consultants, and Developers to identify training gaps and develop tailored learning solutions.
• Generate reports and insights on training effectiveness and suggest continuous improvements.

Skills & Qualifications Required:

• Minimum 3–5 years of experience as a Zoho Trainer, Consultant, or Implementation Specialist.
• Expertise across multiple Zoho applications (CRM, Creator, Analytics, Projects, Desk, etc.).
• Certified Zoho trainer or equivalent professional certification preferred.
• Strong presentation, communication, and interpersonal skills.
• Excellent problem-solving skills and ability to explain complex processes in simple terms.
• Ability to independently develop effective training material using digital learning tools.
• Prior experience mentoring or leading teams is highly desirable.

Educational Qualification:

• Bachelor's degree in IT, Computer Science, Engineering, Business Administration, or related fields.
• Zoho certification (desirable).

Why Join Us:

• Competitive remuneration and benefits.
• Continuous learning & professional development opportunities.
• Collaborative and supportive work culture.
• Opportunity to influence and shape talent capabilities within a growing service organization.

Job Description:

We are looking for a Business Analyst with strong organizational and planning skills and a proven ability to multitask in a fast-paced environment. We are seeking a high level of motivation and a self-starting attitude, and the ability to work with minimal direction and supervision. The ideal candidate will have a metrics/data-driven analytical mindset of constantly measuring success and driving continuous improvement in tools, content, and programs.

Business Analyst Qualifications / Skills:

• Able to exercise independent judgment and take action on it.
• Excellent analytical, and creative problem-solving skills
• Excellent listening, interpersonal, written, and oral communication skills
• Logical and efficient, with keen attention to detail
• Highly self-motivated and directed.
• Ability to effectively prioritize and execute tasks while under pressure.
• Strong customer service orientation
• Experience working in a team-oriented, collaborative environment.
• BE, MBA Preferable.

Responsibilities:

• Data analysis 
• Business Insights 
• Leadership 
• Influence 
• Strategy 
• Problem structuring 
• Project management

Build & strengthen the social media platforms for the Pre-K vertical brands and leverage Social Media Marketing engines to create engagement and increase the brand share of voice. 

Responsibilities

1. Monitor & Manage the company’s social media accounts and offer constructive interaction with users.

2. Possess good knowledge of social channel best practices, social publishing tools, and social listening platforms. Expert in reporting and key social media metrics for data-backed strategy across Instagram, YouTube, Facebook, Twitter, and LinkedIn.

3. Contributes to Annual marketing strategy by leveraging social media. Obtains market share by developing social media marketing plans and programs for our brands – EK | KK

4. Proven record of developing best-in-class and innovative social content and campaigns. Formulates high-quality novel written and visual content for the social platforms/ campaigns

5. Experience in working with influencers and understanding of how they can help reach our marketing goals 6. Develop and accomplish content strategy leading to achieving the business objective of onboarding new parents seeking admissions for their children

7. Experience in community management on digital formats

8. Experience working in coordination with other departments like sales, creative & IT

9. Agency Management & strength in working with in-house creative ops/agencies/ internal stakeholders to generate content and creatives across channels

10. Insight Development and Reporting

Candidate Profile

• MBA | PGDBM in Performance / Digital Marketing
• Experience in copy writing
• 5-8 years’ experience with a reputed brand
• Design skills and basic video edits
• Insight Mapping
• Worked on Social Media Management Tools – Hubspot/ Hootsuite or equivalent