Hotel Jobs_Fresher with Hotel Management degree

Requirements:

• 5+ years in data architecture/data engineering, with at least 2+ years in an architect or lead capacity.
• Strong SQL: advanced query optimisation, indexing, partitioning strategies.
• Data modeling dimensional modelling (star/snowflake schema), normalization/denormalization tradeoffs, entity relationship design.
• Cloud data platforms: hands-on with AWS (Redshift, S3 Glue), Azure (Synapse, Data Factory), or GCP (BigQuery, Dataflow).
• Big data ecosystems: Spark, Hadoop, or Kafka for large-scale/streaming data.
• Data warehousing Snowflake, Redshift, BigQuery, or Databricks.
• ETL/ELT pipeline design: Airflow, dbt, Fivetran, or similar orchestration tools.
• Data governance & security: data lineage, access control, compliance (GDPR/SOC2), master data management.

Strongly Preferred:

• Experience architecting systems supporting ML/AI pipelines (feature stores, vector DBs, real-time inference data flows).
• Programming in Python or Scala for pipeline development.
• API/microservices architecture exposure, understanding how data systems integrate with application layers.
• Experience with data mesh/data lake house architectures.
• Prior experience presenting architecture decisions to leadership/stakeholders.

Nice-to-Have (Differentiators):

• Certifications: AWS/GCP/Azure data architecture certs.
• Experience in a high-growth startup (built systems from scratch, not just maintained legacy).
• Exposure to real-time/streaming architecture (Kafka, Kinesis, Flink).

JOB DETAILS:

* Job Title: Associate III - Data Engineering

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 4-6 years

* Location: Trivandrum, Kochi

Job Description

Job Title:

Data Services Engineer – AWS & Snowflake

Job Summary:

As a Data Services Engineer, you will be responsible for designing, developing, and maintaining robust data solutions using AWS cloud services and Snowflake.

You will work closely with cross-functional teams to ensure data is accessible, secure, and optimized for performance.

Your role will involve implementing scalable data pipelines, managing data integration, and supporting analytics initiatives.

Responsibilities:

• Design and implement scalable and secure data pipelines on AWS and Snowflake (Star/Snowflake schema)

• Optimize query performance using clustering keys, materialized views, and caching

• Develop and maintain Snowflake data warehouses and data marts.

• Build and maintain ETL/ELT workflows using Snowflake-native features (Snowpipe, Streams, Tasks).

• Integrate Snowflake with cloud platforms (AWS, Azure, GCP) and third-party tools (Airflow, dbt, Informatica)

• Utilize Snowpark and Python/Java for complex transformations

• Implement RBAC, data masking, and row-level security.

• Optimize data storage and retrieval for performance and cost-efficiency.

• Collaborate with stakeholders to gather data requirements and deliver solutions.

• Ensure data quality, governance, and compliance with industry standards.

• Monitor, troubleshoot, and resolve data pipeline and performance issues.

• Document data architecture, processes, and best practices.

• Support data migration and integration from various sources.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• 3 to 4 years of hands-on experience in data engineering or data services.

• Proven experience with AWS data services (e.g., S3, Glue, Redshift, Lambda).

• Strong expertise in Snowflake architecture, development, and optimization.

• Proficiency in SQL and Python for data manipulation and scripting.

• Solid understanding of ETL/ELT processes and data modeling.

• Experience with data integration tools and orchestration frameworks.

• Excellent analytical, problem-solving, and communication skills.

Preferred Skills:

• AWS Glue, AWS Lambda, Amazon Redshift

• Snowflake Data Warehouse

• SQL & Python

Skills: Aws Lambda, AWS Glue, Amazon Redshift, Snowflake Data Warehouse

Must-Haves

AWS data services (4-6 years), Snowflake architecture (4-6 years), SQL (proficient), Python (proficient), ETL/ELT processes (solid understanding)

Skills: AWS, AWS lambda, Snowflake, Data engineering, Snowpipe, Data integration tools, orchestration framework

Relevant 4 - 6 Years

python is mandatory

******

Notice period - 0 to 15 days only (Feb joiners’ profiles only)

Location: Kochi

F2F Interview 7th Feb

Job Title: Credit Risk Analyst

Company: FatakPay FinTech

Location: Mumbai, India

Salary Range: INR 8 - 15 Lakhs per annum

Job Description:

FatakPay, a leading player in the fintech sector, is seeking a dynamic and skilled Credit Risk Analyst to join our team in Mumbai. This position is tailored for professionals who are passionate about leveraging technology to enhance financial services. If you have a strong background in engineering and a keen eye for risk management, we invite you to be a part of our innovative journey.

Key Responsibilities:

• Conduct thorough risk assessments by analyzing borrowers' financial data, including financial statements, credit scores, and income details.
• Develop and refine predictive models using advanced statistical methods to forecast loan defaults and assess creditworthiness.
• Collaborate in the formulation and execution of credit policies and risk management strategies, ensuring compliance with regulatory standards.
• Monitor and analyze the performance of loan portfolios, identifying trends, risks, and opportunities for improvement.
• Stay updated with financial regulations and standards, ensuring all risk assessment processes are in compliance.
• Prepare comprehensive reports on credit risk analyses and present findings to senior management.
• Work closely with underwriting, finance, and sales teams to provide critical input influencing lending decisions.
• Analyze market trends and economic conditions, adjusting risk assessment models and strategies accordingly.
• Utilize cutting-edge financial technologies for more efficient and accurate data analysis.
• Engage in continual learning to stay abreast of new tools, techniques, and best practices in credit risk management.

Qualifications:

• Minimum qualification: B.Tech or Engineering degree from a reputed institution.
• 2-4 years of experience in credit risk analysis, preferably in a fintech environment.
• Proficiency in data analysis, statistical modeling, and machine learning techniques.
• Strong analytical and problem-solving skills.
• Excellent communication skills, with the ability to present complex data insights clearly.
• A proactive approach to work in a fast-paced, technology-driven environment.
• Up-to-date knowledge of financial regulations and compliance standards.

We look forward to discovering how your expertise and innovative ideas can contribute to the growth and success of FatakPay. Join us in redefining the future of fintech!

Position: SCM Head (leather, trims, hardware, and raffia)

Location: IMT Manesar

Experience: 10+ year in SCM in Bag manufacturing Industry

Salary: Negotiable

Industry: Fashion/ apparel/ leather

Education: Bachelors/Masters degree in Supply Chain Management, Logistics, or related field.

We are looking for a seasoned Supply Chain Manager with 10-15 years of experience. The ideal candidate will possess strong knowledge of leather, trims, hardware, and raffia. You will lead our supply chain team, developing and implementing strategies to optimize efficiency, reduce costs, and enhance overall supply chain resilience.

Key Responsibilities:

·        Develop and execute comprehensive supply chain strategies aligned with business revenue.

·        Lead and build a high-performing supply chain team.

·        Negotiate contracts and prices with suppliers.

·        Manage inventory levels, ensuring optimal stock levels and minimizing waste.

·        Implement and maintain robust supply chain processes and systems.

·        Identifying opportunities for cost savings and process improvements.

·        Collaborate with internal teams (production, procurement, logistics) to ensure seamless operations.

·        Ensure compliance with regulatory requirements and industry standards.

Requirements:

·        10-15 years of experience in Supply Chain Management, preferably in bag manufacturing or similar industries.

·        Strong knowledge of leather, trims, hardware, and raffia.

·        Proven leadership and team management skills.

·        Action-oriented approach with excellent problem-solving abilities.

·        Excellent communication, negotiation, and interpersonal skills.

·        Strong analytical and strategic thinking skills.

·        Ability to work under pressure and meet deadlines.

Certifications:

- APICS, CSCP, or similar certifications preferred.

Mail updated resume with current salary-

Email: jobs[at]glansolutions[dot]com

Satish: 8 8 5 1O1 8 1 6 2

Website: www.glansolutions.com

Click for more jobs- https://glansolutions.com/jobs.php

Google search: Glan Management Consultancy

RazerTech Consulting is mandated to hire a Technical Lead for a US based Tech Company that offers a cloud-based, AI?powered image editing and automation platform for leading brands in ecommerce, fashion, marketplaces & photo studios. The platform helps creatives and marketers produce stunningly consistent imagery and video content at scale.

Role Overview :

Were looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI while integrating visual AI pipelines built by ML engineers. Youll be both a builder and a leader : writing clean Java and TypeScript/Node.js, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. Ideally, youre also familiar with Python for deploying ML pipelines.

(Note : This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.)

What Youll Do :

• Lead development of the Java, Node.js and Python (FastAPI) backend services on AWS
• Build high-performance image processing pipelines using ImageMagick, SharpJS, and SVG manipulation
• Implement automated visual content generation using Headless Chrome and Puppeteer or similar tools.
• Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2.
• Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2
• Contribute to React/TypeScript frontend when needed to accelerate product delivery
• Work closely with the founder, product, and UX teams to translate business needs and PRDs into features that drive productmarket fit.
• Make architecture and infrastructure decisions from media processing to task queues to storage
• Own the performance and cost-optimization of our AWS platform
• Hire and mentor junior/mid engineers over time
• Drive technical planning, sprint prioritization, and trade-off decisions

Must have Skills :

• Backend Development (57 years) : Java, Node.js, TypeScript, RESTful API, Docker
• AWS Expertise (5+ years) : AWS Lambda, ECS, EC2, S3, DynamoDB, CloudWatch, IAM, roles
• Image Processing & Media Technologies : ImageMagick, SharpJS, SVG manipulation and programmatic generation, Headless Chrome, Puppeteer
• System Optimization & Middleware (35 years) : AWS cloud cost optimization, Celery, BullMQ, AWS Step Functions
• Frontend Development (23 years) : React, TypeScript, Redux, Context API, CI/CD pipelines.
• System Design & Architecture (46 years) : Event-driven architectures using queues, microservices-based systems, caching strategies (e.g., Redis, CDN edge caching)
• Leadership & Communication (23 years) : Lead engineering teams and drive project delivery

• Architect new and optimize existing software codebases and systems used to crawl, launch, run, and monitor the Anakin family of app crawlers
• Deeply own the lifecycle of software, including rolling out to operations, managing configurations, maintaining and upgrading, and supporting end-users
• Configure and optimize the automated testing and deployment systems used to maintain over 1000+ crawlers across the company
• Analyze data and bugs that require in-depth investigations
• Interface directly with external customers including managing relationships and steering requirements

• Extremely effective, self-driven builder
• 2+ years of experience as a backend software engineer
• 2+ years of experience with Python
• 2+ years of experience with AWS services such as EC2, S3, Lambda, etc.
• Should have managed a team of software engineers
• Deep experience with network debugging across all OSI layers (Wireshark)
• Knowledge of networks or/and cybersecurity

• Broad understanding of the landscape of software engineering design patterns and principles
• Ability to work quickly and accurately in a highly stressful environment during removing bugs in run-time within minutes
• Excellent communicator, both written and verbal

• Must be available to work extended hours and weekends when needed to meet critical deadlines
• Must have an aversion to politics and BS. Should let his/her work speak for him/her.
• Must be comfortable with uncertainty. In almost all the cases, your job will be to figure it out.
• Must not be bounded to comfort zone. Often, you will need to challenge yourself to go above and beyond.

What you need to have:

Job description 

• Lead design, development, implementation and maintenance of applications & back-end  services demonstrating service-oriented architecture. 
• Design, build, test, and maintain scalable APIs, services, and systems within the  platform. 
• Choose the right Data Structures, tools, and tech stacks and do high-level design with guidance. 
• Build, develop, mentor, review code and coach junior team members. 
• Extensive programming experience with cross-platform development: Java/SpringBoot,  Javascript/Node.js, Express.js or Python 
• Extensive knowledge of ElasticSearch, MongoDB or Cassandra, Redis, SQS and data  streaming (Spark, Flink, Kafka streams, storm, etc.). 
• Well versed in Kafka Understanding cloud native technologies such as Docker and  Kubernetes, capable to cover full development lifecycle including CI/CD 
• Experience in use of source code management system like GIT, bitbucket and build tools  like ant, maven, Gradle or make. 
• Take great pride in Code quality and developer productivity. 
• Put in Microservcies architecture in place that paves road for scalability, efficiency,  observability, and availability. 
• Build (and open source) data processing, storage and fetch systems at the petabyte scale  with the lowest cost/GB while still responding in milliseconds at the 99th percentile. 
• Write algorithms and services to influence personalisation and recommendation from a  real-time recommendation engine for both home feed to surface most viral videos +  video e-commerce 
• Build machine learning pipelines using Kinesis,Spark/Flink/TensorFlow etc 
• Agile methodologies, Sprint management, Roadmap, Mentoring, Documenting, Software  architecture 
• Proven experience in handling large infrastructure and distributed systems Liaison with Product Management, DevOps, QA, Client and other teams Your Experience Across The Years in the Roles You’ve Played 

• Have total or more 7 - 9 years of experience with 2-3 years in a startup. Have B.Tech or M.Tech or equivalent academic qualification from premier institute. Experience in Product companies working on Internet-scale applications is preferred 
• Thoroughly aware of cloud computing infrastructure on AWS leveraging cloud native  service and infrastructure services to design solutions.
• Follow Cloud Native Computing Foundation leveraging mature open source projects  including understanding of containerisation/Kubernetes. 

We Value Engineers Who Are :

• Customer-focused: We believe that doing what’s right for the creator is ultimately what  will drive our business forward. 
• Obsessed with Quality: Your Production code just works & scales linearly 
• Team players. You believe that more can be achieved together. You listen to feedback  and also provide supportive feedback to help others grow/improve. 
• Pragmatic: We do things quickly to learn what our creators desire. You know when it’s  appropriate to take shortcuts that don’t sacrifice quality or maintainability 

Chingari Benefits 

The glory. Almost too much responsibility. 

A fun-life balance 

A ticket on our rocket ship to the moon. ��