Assistant Sales Manager

About the Role

We are looking for an experienced Snowflake Architect with 10+ years of overall IT experience and strong expertise in designing, implementing, and optimizing enterprise-scale data platforms using Snowflake. The ideal candidate will have a deep understanding of cloud data warehousing, data architecture, ETL/ELT frameworks, and data engineering best practices. This role requires close collaboration with business stakeholders, data engineers, architects, and analytics teams to build scalable, secure, and high-performing data solutions.

Key Responsibilities

·      Design and implement scalable, secure, and high-performance data architectures using Snowflake.

·      Define enterprise data models, data warehouse architecture, and best practices for data governance.

·      Design and optimize ELT/ETL pipelines for structured and semi-structured data.

·      Lead Snowflake implementation, migration, and modernization initiatives.

·      Optimize Snowflake performance, query execution, clustering, partitioning, and cost management.

·      Design data integration solutions using cloud-native and third-party ETL tools.

·      Establish security frameworks, role-based access control (RBAC), data masking, and governance policies. 

·      Collaborate with Data Engineers, BI Developers, Data Scientists, and business stakeholders to deliver end-to-end data solutions.

·      Conduct architecture reviews, performance tuning, and capacity planning.

·      Mentor technical teams and establish development standards and best practices.

·      Support CI/CD implementation and DevOps practices for data platforms.

·      Prepare technical documentation, architecture diagrams, and solution design documents. 

Required Skills & Experience

·      10+ years of overall IT experience with at least 5+ years of hands-on experience in Snowflake architecture and implementation.

·      Strong expertise in Snowflake Data Cloud architecture and administration.

·      Experience designing enterprise-scale data warehouse and lakehouse solutions.

·      Strong SQL programming and query optimization skills.

·      Experience with ETL/ELT tools such as Matillion, dbt, Informatica, Talend, Fivetran, or Azure Data Factory.

·      Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

·      Hands-on experience with data modeling techniques (Star Schema, Snowflake Schema, Data Vault, Dimensional Modeling).

·      Experience with performance tuning, workload optimization, and Snowflake cost optimization.

·      Knowledge of data security, governance, encryption, and compliance best practices.

·      Experience with Git, CI/CD pipelines, and Agile development methodologies. 

Preferred Skills

·      Snowflake certifications (SnowPro Core or SnowPro Advanced).

·      Experience with Python, Scala, or Java for data engineering tasks. 

·      Knowledge of Apache Spark, Kafka, or other big data technologies.

·      Exposure to Power BI, Tableau, or other BI and visualization tools.

·      Experience working with large-scale enterprise data migration projects.

·      Understanding of DataOps and MLOps practices. 

Educational Qualification

·      Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Key Competencies

·      Strong analytical and problem-solving skills.

·      Excellent communication and stakeholder management abilities.

·      Proven experience in leading architecture discussions and technical solution design.

·      Ability to mentor teams and drive technical excellence.

·      Self-driven, proactive, and capable of working effectively in a remote environment.

About the Internship

The Nexora Group is looking for motivated and enthusiastic interns for the role of Data Science with AI Intern. This internship provides practical exposure to data analysis, machine learning, AI tools, and real-world datasets through guided mentorship and project-based learning.

Interns will gain hands-on experience working on live tasks related to data processing, visualization, predictive analytics, and AI-driven solutions.

Responsibilities

• Assist in collecting, cleaning, and analyzing datasets.
• Work on data visualization and reporting tasks.
• Support machine learning and AI model development activities.
• Participate in research and implementation of AI-based solutions.
• Perform data preprocessing and feature engineering tasks.
• Collaborate with mentors and team members on project assignments.
• Test, evaluate, and improve model performance.
• Maintain project documentation and reports.

Required Skills

• Basic understanding of Python or any programming language.
• Interest in Data Science, Analytics, and AI technologies.
• Knowledge of statistics, data handling, or logical reasoning is a plus.
• Good analytical and problem-solving skills.
• Ability to learn and work collaboratively in a team environment.

Preferred Skills (Optional)

• Familiarity with Python libraries such as Pandas, NumPy, or Matplotlib.
• Basic understanding of Machine Learning concepts.
• Knowledge of SQL, Excel, or data visualization tools.
• Interest in Artificial Intelligence and automation technologies.

Who Can Apply

• Students pursuing B.Tech, BCA, MCA, B.Sc IT, M.Tech, or related fields.
• Freshers seeking practical exposure in Data Science and AI.
• Candidates passionate about analytics, AI, and emerging technologies.

Perks & Benefits

• Hands-on experience with real-world datasets and projects.
• Mentorship from experienced professionals.
• Internship Completion Certificate.
• Letter of Recommendation based on performance.
• Flexible learning and working environment.
• Opportunity to build practical technical skills.
• Top performers may receive future opportunities based on project requirements.

Mandatory (Total Experience): Must have 5+ years of overall experience in Testing/QA

Mandatory (Experience 1): Must have 2+ years of experience in testing AI/ML models and data-driven applications, across NLP, recommendation engines, fraud detection, and advanced analytics models

Mandatory (Experience 2): Must have expertise in validating AI/ML models for accuracy, bias, explainability, and performance, ensuring decisions are fair, reliable, and transparent

Mandatory (Experience 3): Must have strong experience to design AI/ML test strategies, including boundary testing, adversarial input simulation, and anomaly monitoring to detect manipulation attempts by marketplace users (buyers/sellers)

Mandatory (Tools & Frameworks): Proficiency in AI/ML testing frameworks and tools (like PyTest, TensorFlow Model Analysis, MLflow, Python-based data validation libraries, Jupyter) with the ability to integrate into CI/CD pipelines

Mandatory (Business Awareness): Must understand marketplace misuse scenarios, such as manipulating recommendation algorithms, biasing fraud detection systems, or exploiting gaps in automated scoring

Mandatory (Communication Skills): Must have strong verbal and written communication skills, able to collaborate with data scientists, engineers, and business stakeholders to articulate testing outcomes and issues.

Mandatory (Education):Degree in Engineering, Computer Science, IT, Data Science, or a related discipline (B.E./B.Tech/M.Tech/MCA/MS or equivalent)

Mandatory Location: Candidate must be based within Delhi NCR (100 km radius)

Preferred

Preferred (Certifications): Certifications such as ISTQB AI Testing, TensorFlow, Cloud AI, or equivalent applied AI credentials are an added advantage.

We are seeking a highly motivated and skilled Security Analyst to join our team in Bengaluru. As a Security Analyst, you will be responsible for monitoring and analyzing security events, identifying and mitigating vulnerabilities, and ensuring the overall security posture of our systems and applications. You will work closely with other members of the security team and other departments to protect our company's assets and data. You should possess a strong understanding of networking fundamentals, security tools, and SIEM technologies, and have a proven track record of effective log analysis and monitoring.

Responsibilities

• Monitor security logs and events from various sources, including SIEM tools, firewalls, intrusion detection/prevention systems, and other security devices.
• Analyze security incidents to identify root causes, assess impact, and recommend remediation steps.
• Conduct vulnerability assessments and penetration testing to identify security weaknesses in systems and applications.
• Develop and maintain security policies, procedures, and standards.
• Stay up-to-date on the latest security threats and vulnerabilities.
• Respond to security incidents and provide technical support during investigations.
• Configure and maintain security tools, including SIEM platforms (Splunk or QRadar preferred), vulnerability scanners, and intrusion detection/prevention systems.
• Perform log analysis and correlation to identify suspicious activity and potential security breaches.
• Collaborate with other IT teams to implement security best practices and ensure compliance with security policies.
• Prepare reports and presentations on security events, incidents, and trends.
• Participate in security audits and compliance assessments.

3 to 7 years of Overall testing experience.

 Test Automation Experience with the tool Selenium or Katalon.

 Should have experience in Test Automation Framework like TestNG and Cucumber

Framework.

 Able to manage test activities in medium to large projects.

 Demonstrates appropriate interpersonal skills required to establish effective working

relationships with clients and/or business partners.

 Should be familiar with the Software Testing tools, techniques and market trends.

 Should review user and functional requirements and provide feedback; they will

Informally test early versions of functionality and develop increasingly complete test

scripts and traceability.

 Participate in test execution and monitor the progress of execution.

 Proactively engage with all team members including developers, business users and

business analysts.

 Writes, reviews and executes formal test scripts including setup and data

requirements, procedures and expected results

 Able to provide direct input to project estimates and documentation (Project Plan

document, URS, FRS, Design docs)

 Reviews project requirements, plans and prototypes and providing input.

 Agile/ Scrum experience.

 Katalon Tool knowledge is preferable.

 Clinical domain knowledge is preferable.

• Own the product analytics of bidgely’s end user-facing products, measure and identify areas of improvement through data
• Liaise with Product Managers and Business Leaders to understand the product issues, priorities and hence support them through relevant product analytics
• Own the automation of product analytics through good SQL knowledge
• Develop early warning metrics for production and highlight issues and breakdowns for resolution
• Resolve client escalations and concerns regarding key business metrics
• Define and own execution
• Own the Energy Efficiency program designs, dashboard development, and monitoring of existing Energy efficiency program
• Deliver data-backed analysis and statistically proven solutions
• Research and implement best practices
• Mentor team of analysts

• B.Tech from a premier institute with 5+ years analytics experience or Full-time MBA from a premier b-school with 3+ years of experience in analytics/business or product analytics
• Bachelor's degree in Business, Computer Science, Computer Information Systems, Engineering, Mathematics, or other business/analytical disciplines

• Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause
  analyses
• Excellent understanding of retention, churn, and acquisition of user base
• Ability to employ statistics and anomaly detection techniques for data-driven
  analytics
• Ability to put yourself in the shoes of the end customer and understand what
  “product excellence” means
• Ability to rethink existing products and use analytics to identify new features and product improvements.
• Ability to rethink existing processes and design new processes for more effective analyses
• Strong SQL knowledge, working experience with Looker and Tableau a great plus
• Strong commitment to quality visible in the thoroughness of analysis and techniques employed
• Strong project management and leadership skills
• Excellent communication (oral and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
• Ability to coach and mentor analysts on technical and analytical skills
• Good knowledge of statistics, basic machine learning, and AB Testing is
  preferable
• Experience as a Growth hacker and/or in Product analytics is a big plus

Skills Required:

• Must-Have: Java, Spring/spring-boot, Data structure, Algorithm
• Any 2 (Must) out of the below-mentioned list : 

a.     JPA/Hibernate

b.     Messaging queue/Kafka/SQS/distributed message/SNS/JMS

c.     NoSQL/Aerospike/Reddis/Cassandra

d.     Microservices

Roles and Responsibilities:

• Technical design, implementation, deployment, and support.
• Partner with Business Analysts to review and implement business requirements.
• Perform development and unit testing, working closely with Business.
• Mentors and oversees the development of resources, including reviewing designs and performing code reviews.
• Ensure designs are in compliance with specifications
• Contribute to all phases of the development lifecycle
• Developing high-volume, low-latency applications for mission-critical systems and delivering high availability and performance
• Should have experience of working on Core Java/J2EE & OOPS concept
• Should be well versed with Spring/Struts & Apache Camel (OSGI Framework)
• Should have a good understanding of Hibernate and Other ORMs
• Should have an understanding of working on Web Service (SOAP/REST) and Maven
• Build tools such as Jenkins
• Caching Technique(Radis, Hazlecast, Aerospike)
• Database Knowledge - Oracle, MySQL

•  3+ years of experience in Machine Learning
• Bachelors/Masters in Computer Engineering/Science.
• Bachelors/Masters in Engineering/Mathematics/Statistics with sound knowledge of programming and computer concepts.
• 10 and 12th acedemics 70 % & above.

Skills :
 - Strong Python/ programming skills
 - Good conceptual understanding of Machine Learning/Deep Learning/Natural Language            Processing
 - Strong verbal and written communication skills.
 - Should be able to manage team, meet project deadlines and interface with clients.
 - Should be able to work across different domains and quickly ramp up the business                   processes & flows & translate business problems into the data solutions