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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
Looking for technically skilled candidates with excellent interpersonal skills for the technical support position. Technical support officers troubleshoot technical issues, provide timely customer feedback, and support the roll-out of new applications, among other duties.
Moreover, technical support officers need to talk to customers directly, as well as create written documentation, requiring excellent written and verbal communication.
Responsibilities:
- Identifying hardware and software solutions.
- Troubleshooting technical issues.
- Diagnosing and repairing faults.
- Resolving network issues.
- Installing and configuring hardware and software.
- Speaking to customers to quickly get to the root of their problem.
- Providing timely and accurate customer feedback.
- Talking customers through a series of actions to resolve a problem.
- Following up with clients to ensure the problem is resolved.
- Replacing or repairing the necessary parts.
- Supporting the roll-out of new applications.
- Providing support in the form of procedural documentation.
- Managing multiple cases at one time.
- Testing and evaluating new technologies.
- Conducting electrical safety checks on equipment.
Requirements:
- Degree in computer science or information technology.
- Certification in Microsoft, Linux, or Cisco is advantageous.
- Prior experience in tech support, desktop support, or a similar role.
- Proficiency in Windows/Linux/Mac OS.
- Experience with remote desktop applications and help desk software.
- Attention to detail and good problem-solving skills.
- Excellent interpersonal skills.
- Good written and verbal communication.
TensorIoT:
- AWS Advanced Consulting Partner (for ML and GenAI solutions)
- Pioneers in IoT and Generative AI products.
- Committed to diversity and inclusion in our teams.
TensorIoT is an AWS Advanced Consulting Partner. We assist companies to realize the value and efficiency of the AWS ecosystem. From building Proof of Concepts and Product Prototypes to production-ready applications, we analyze complex business problems every day and develop solutions to drive customers’ success.
The founders of TensorIoT, have previously helped build world-class IoT and AI platforms in AWS and Google. Our mission now is to help connect devices and make them intelligent. We firmly believe in the transformative power of smart devices to enhance our quality of life.
TensorIoT is proud to be an equal opportunity employer. We are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind, and make our hiring decisions based solely on qualifications, merit, and business needs at the time.
Job Description
At the TensorIoT India team, we look forward to bringing on board mid-level and senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process. Please note: A candidate needs to qualify at least 4 of the 7 preferred qualifications listed below, to be eligible for the task / first round of interviews.
What are the kinds of tasks Data Scientists do at TensorIoT?
As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client.
Preferred Requirements:
- PhD in the domain of Data Science / Machine Learning
- M.Sc | M.Tech in the domain of Computer Science / Machine Learning
- Hands-on experience in MLOps (model deployment, maintenance).
- Some experience working with Generative AI (LLM).
- Some experience in creating cloud-native technologies, and microservices design.
- Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis.
- Hands-on experience with Docker.
Minimum Requirements:
- Masters + 3 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 5 years of work experience in Machine Learning Engineering 1 year of Cloud Experience.
- Clear concepts of the following:
- - Supervised Learning, Unsupervised Learning, Reinforcement Learning
- - Statistical Modelling, Deep Learning
- - Interpretable Machine Learning
- - Linear Algebra
- Scientific & Analytical mindset, proactive learning, adaptability to changes.
- Strong interpersonal and language skills in English, to communicate within the team and with the clients.
CV Tips:
Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following:
- Focus:
- More focus on technical skills relevant to the job description.
- Less or no focus on your roles and responsibilities as a manager, team lead, etc.
- Less or no focus on the design aspect of the document.
- Regarding the projects you completed in your previous companies,
- Mention the problem statement very briefly.
- Your role and responsibilities in that project.
- Technologies & tools used in the project.
- Always good to mention (if relevant):
- Scientific papers published, Master Thesis, Bachelor Thesis.
- Github link, relevant blog articles.
- Link to LinkedIn profile.
- Mention skills that are relevant to the job description and you could demonstrate during the interview/tasks in the selection process.
We appreciate your interest in the company and look forward to your application.
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.
- At least 4 years of experience as a Node.js developer.
- Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
- Mandatory experience in MongoDB and MySql.
- Knowledge of front-end technologies such as HTML5 and CSS3.
- Superb interpersonal, communication, and collaboration skills.
- Exceptional analytical and problem-solving aptitude.
Job Description :
- Collaborate with cross-functional teams to define, design, and ship new features.
- Work with outside data sources and APIs.
- Worked on Dart.js
- Unit-test code for robustness, including edge cases, usability, and general reliability
- Work on bug fixing and improving application performance
- Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
Responsibilities And Duties :
- Must have built at least one Android, or iOS, app with Flutter or Hybrid Framework.
Strategy & Operations Manager – 2022
JOB DESCRIPTION
As a Strategy & Operations Manager you are expected to Work closely with CEO and help streamline Operations for the best way forward through Guidelines, Standards Automation etc (understanding the current state and future state why is critical), for & through
Roles & Responsibilities:
A strategic & org level role to define/streamline/standardize overall Org Operations in alignment with the current & future goals of the company, through,
- Definition of Guidelines, Standard Operating Procedures etc. for all the operations/services in the company
- Identification of the areas of automation of manual/repetitive tasks as a part of project management/delivery and working with the team in identifying and automating through the right tools & techniques (for ex – Team Management Matrix, Timesheets, Customer Status Dashboards etc.)
- People & Management – for work, right utilization & upskilling
- Continuous Reviews, Audits & Feedback ensure adherence
- Use of the right tools & techniques for ease, reuse, scalability & management – across operations
- Definition & Delivery of Org specific reports – team management, project dashboards, customer management etc.
- Bringing in mature practices to the way we do business for the betterment.
- Helping avoid waste and add value – in terms of work executed, value delivered to the customers
To re-iterate, all the above to be in complete alignment with the Org – its goals, values, principles & culture. So, while the expectation is for you to define procedures & protocols – it cannot be a one size fits all approach. Our belief is Responsible Freedom. Structures/Governance are important, but not at the cost of flexibility. You should be able to strike the right balance.
Scope in terms of functions/departments:
- All the functions around the Business that we are in (Consulting, Technology), from an Operations perspective
- Training & Development
Team you will be working with:
- CEO & Org Maturity Team
- Org Performance & Customer Delivery Team
- Project Managers
Experience/Qualifications
- Insurance Technology space, with experience in the role, as per Job Profile (preferable: P&C/General Insurance and related Technologies) would be ideal for the role. Alternatively, experience in FinTech or BFSI is expected
- Minimum of 5 to 6 years – Our focus is not on the number of years of experience, but the passion/aggression to help support in building scalable business through the right Operations
- B Tech with MBA from Premier Institutes preferable
- Experience in tech project implementations – in the capacity of operations manager
ABOUT MANOMAY
Manomay is a Global IT Consulting & InsurTech Firm with an exclusive focus on the Insurance industry. With business technology alignment as the key emphasis, we work with multiple insurance companies both on Consulting (Strategic/Management/Implementation/ Measurement) and Technology (InsurTech Products and Custom Specific Solution Development). Our Customer Base is spread across USA and Caribbean Islands (Bermuda, Cayman Islands, Barbados, Bahamas, and Jamaica).
Whether it is Consulting or Software Development, our focus is to help Insurance Companies solve those “unsolved” problems, that are not yet comprehensively addressed in the current realm of Company and the Market. These span across legacy technology, rip & replace challenges, indecisiveness about enterprise IT, changing customer expectations & positioning, changing market dynamics, people & process challenges, integrations & associations etc.
Our Technology Stack is of latest order using a combination of the new gen technologies AI, ML, RPA, Digitization & Analytics etc. developed off Python and its frameworks (primarily) + other web frameworks like Angular and Node JS etc.
the core library/language constructs.
• Knowledge of processor, memory, network and storage internals. Familiarity with I/O optimized
algorithms.
• Deep understanding of distributed systems including fault modeling, concurrency, isolation,
consensus etc.
• Internals of a RDBMS like MySQL
• Conversant with the internals of systems like Kafka, Cassandra/Scylla, Redis, RocksDB etc
• Working knowledge of hosting and network infrastructure (K8s, Envoy, etc)
• Familiarity with binary serialization protocols like thrift/protobuf/flatbuffers etc
• Familiar with gRPC, HTTP/2, QUIC, etc.
• Troubleshooting memory issues, GC tuning, resource leaks etc.
• Strong problem-solving skills, algorithmic skills and data structures.
• Productionizing machine learning pipelines using Spark/Flink/TensorFlow etc
• Familiarity with big data concepts - HDFS, hive, presto, spark, oozie, ambari, airflow, atlas,
ranger, etc. Familiarity with formats like avro, parquet, orc, arrow etc
• Good understanding of branching, build, deployment, continuous integration methodologies
• Experience in leading a team and mentoring engineers
• Attitude to get Stuff Done!
• Ability to make decisions independently.
Desired Background:
• Bachelor’s or Master’s degree in Engineering from premier institutes preferred
• 8+ years of experience in software design, development & architecture

We’re looking for a Ruby on Rails Software Engineer/Shopify App Developer who has experience working with the Shopify platform and is able to work on a Shopify app.
Your Daily Challenges
When we welcome you aboard we’ll introduce you to your Team, which consists of a front-end developer, a Shopify App Marketer who grew 2 apps to million dollar annual revenue, and a product manager.
These are the people you’ll work closely with on Product development day-to-day. Once you get settled in and learn more about the team, your day to day activities will look something like this:
- Own the end-to-end development cycle for the Shopify app you’ll be working on.
- Coordinate with fellow developers to get things done on time.
- Implement high quality code in an agile, test driven development environment
- Review exception reports to identify and fix bugs
- Development of new apps and features
- Maintenance of existing features
- Collaboration with cross-functional teams
- Contributions of ideas to improve the product
Your Experience
- 3-5 years of experience with Ruby on Rails
- Experience with Shopify app development
- Familiar with Sidekiq, PostgreSQL
- Good understanding of HTML and CSS (positioning and styling)
- Excellent communication skills
- Takes pride in writing clean, organized, efficient code
- An eye for detail
- Experience with vanilla JavaScript and React a plus
- Experience working in an entrepreneurial/startup environment
Your Compensation
- The compensation range for this role is INR 14-18 LPA (~25K USD) + up to 5% equity.
- The compensation varies with experience and qualifications.
- This is a full-time remote/work from home position.
Thanks for the time you took to read about this opportunity.








