11+ Data management Jobs in Kochi (Cochin) | Data management Job openings in Kochi (Cochin)

Required Skills and Qualifications Technical Expertise

• Proficiency in enterprise architecture frameworks (e.g., TOGAF, Zachman) and modelling tools.

• In-depth knowledge of cloud computing, distributed systems, data management, application development, and network architecture.

• Familiarity with programming languages and development methodologies. Business Acumen

• Strong analytical skills to translate business needs into technical solutions.

• Comprehensive understanding of business processes and technology optimization opportunities.

• Excellent communication and presentation skills to explain technical concepts to diverse stakeholders. Leadership and Collaboration

• Demonstrated ability to lead cross-functional teams and influence decisions across the organization.

• Strong collaboration skills to engage with various stakeholders effectively.

Experience

• Proven experience as an Enterprise Architect in a complex IT environment, preferably within IT services.

• A successful track record in designing and implementing enterprise-wide IT solutions.

• Experience managing large-scale technology transformations and migration projects. Domain Expertise

• We are seeking an Enterprise Architect with proven exposure to the BFSI (Banking, Financial Services, and Insurance) domain. Candidates with experience in Retail and Healthcare domains are also preferred.

Preferred Qualifications

• Certification in enterprise architecture frameworks such as TOGAF or Zachman.

• Knowledge of DevOps practices and tools.

• Experience with modern technology stacks and microservices-based architectures. 

We are looking for an experienced Data Engineer with 4+ years of expertise in Python development, ETL processes, and Power BI reporting. The ideal candidate will be responsible for designing scalable data pipelines, optimizing data workflows, and delivering business intelligence solutions for data-driven decision-making.

Key Responsibilities

• Design, develop, and maintain robust ETL/data integration pipelines.
• Develop scalable data processing solutions using Python.
• Create and optimize complex SQL queries, stored procedures, and database solutions.
• Build interactive dashboards, reports, and data visualizations using Power BI.
• Integrate data from multiple sources including APIs, databases, and cloud platforms.
• Perform data cleansing, transformation, and validation to ensure data accuracy.
• Work closely with business and technical teams to gather reporting and analytics requirements.
• Monitor, troubleshoot, and improve data pipeline performance.
• Support data warehousing, reporting, and analytics initiatives.
• Mentor junior team members and contribute to best practices in data engineering.

Required Skills

• 4+ years of experience in Data Engineering or related roles.
• Strong hands-on experience in Python scripting and automation.
• Good experience with ETL processes and data pipeline development.
• Strong SQL skills with experience in relational databases.
• Hands-on experience in Power BI dashboard and report creation.
• Knowledge of data modeling and data warehousing concepts.
• Experience with APIs and data integration techniques.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.

Role Proficiency:

Leverage expertise in a technology area (e.g. Java Microsoft technologies or Mainframe/legacy) to design system architecture.

Knowledge Examples:

• Domain/ Industry Knowledge: Basic knowledge of standard business processes within the relevant industry vertical and customer business domain

1. Technology Knowledge: Demonstrates working knowledge of more than one technology area related to own area of work (e.g. Java/JEE 5+ Microsoft technologies or Mainframe/legacy) customer technology landscape multiple frameworks (Struts JSF Hibernate etc.) within one technology area and their applicability. Consider low level details such as data structures algorithms APIs and libraries and best practices for one technology stack configuration parameters for successful deployment and configuration parameters for high performance within one technology stack
2. Technology Trends: Demonstrates working knowledge of technology trends related to one technology stack and awareness of technology trends related to least two technologies
3. Architecture Concepts and Principles: Demonstrates working knowledge of standard architectural principles models patterns (e.g. SOA N-Tier EDA etc.) and perspective (e.g. TOGAF Zachman etc.) integration architecture including input and output components existing integration methodologies and topologies source and external system non functional requirements data architecture deployment architecture architecture governance
4. Design Patterns Tools and Principles: Applies specialized knowledge of design patterns design principles practices and design tools. Knowledge of documentation of design using tolls like EA
5. Software Development Process Tools & Techniques: Demonstrates thorough knowledge of end-to-end SDLC process (Agile and Traditional) SDLC methodology programming principles tools best practices (refactoring code code package etc.)
6. Project Management Tools and Techniques: Demonstrates working knowledge of project management process (such as project scoping requirements management change management risk management quality assurance disaster management etc.) tools (MS Excel MPP client specific time sheets capacity planning tools etc.)
7. Project Management: Demonstrates working knowledge of project governance framework RACI matrix and basic knowledge of project metrics like utilization onsite to offshore ratio span of control fresher ratio SLAs and quality metrics
8. Estimation and Resource Planning: Working knowledge of estimation and resource planning techniques (e.g. TCP estimation model) company specific estimation templates
9. Working knowledge of industry knowledge management tools (such as portals wiki) company and customer knowledge management tools techniques (such as workshops classroom training self-study application walkthrough and reverse KT)
10. Technical Standards Documentation & Templates: Demonstrates working knowledge of various document templates and standards (such as business blueprint design documents and test specifications)
11. Requirement Gathering and Analysis: Demonstrates working knowledge of requirements gathering for ( non functional) requirements analysis for functional and non functional requirement analysis tools (such as functional flow diagrams activity diagrams blueprint storyboard) techniques (business analysis process mapping etc.) and requirements management tools (e.g.MS Excel) and basic knowledge of functional requirements gathering. Specifically identify Architectural concerns and to document them as part of IT requirements including NFRs
12. Solution Structuring: Demonstrates working knowledge of service offering and products

Additional Comments:

Looking for a Senior Java Architect with 12+ years of experience. Key responsibilities include:

• Excellent technical background and end to end architecture to design and implement scalable maintainable and high performing systems integrating front end technologies with back-end services.

• Collaborate with front-end teams to architect React -based user interfaces that are robust, responsive and aligned with overall technical architecture.

• Expertise in cloud-based applications on Azure, leveraging key Azure services.

• Lead the adoption of DevOps practices, including CI/CD pipelines, automation, monitoring and logging to ensure reliable and efficient deployment cycles.

• Provide technical leadership to development teams, guiding them in building solutions that adhere to best practices, industry standards and customer requirements.

• Conduct code reviews to maintain high quality code and collaborate with team to ensure code is optimized for performance, scalability and security.

• Collaborate with stakeholders to defined requirements and deliver technical solutions aligned with business goals.

• Excellent communication skills

• Mentor team members providing guidance on technical challenges and helping them grow their skill set.

• Good to have experience in GCP and retail domain.

Skills: Devops, Azure, Java

Must-Haves

Java (12+ years), React, Azure, DevOps, Cloud Architecture

Strong Java architecture and design experience.

Expertise in Azure cloud services.

Hands-on experience with React and front-end integration.

Proven track record in DevOps practices (CI/CD, automation).

Notice period - 0 to 15days only

Location: Hyderabad, Chennai, Kochi, Bangalore, Trivandrum

Excellent communication and leadership skills.

We are seeking a skilled Full Stack (FSE) Developer with expertise in Java, Spring Boot development to join our dynamic team. In this role, you will be responsible for development of critical banking application across various business domains. You will collaborate closely with cross-functional teams to ensure high-quality solutions are developed, maintained, and continuously improved.

Responsibilities:

Development of business-critical banking applications.

Develop new features for banking applications using FSE technologies.

Ensure code quality through proper testing, reviews, and adherence to coding standards.

Collaborate with design, backend, and other teams to deliver seamless user experiences.

Troubleshoot, debug, and optimize performance issues.

Participate in agile development processes and contribute to continuous improvement initiatives.

Requirements:

Bachelors/Masters degree in computer science, Software Engineering, or a related field.

4 – 6 years of relevant experience in application development.

Solid experience in:

Java, Spring Boot.

APIs / REST.

Kubernetes / OpenShift. 

Azure DevOps.

JMS, Message Queues.

Nice to have knowledge in: 

Quarkus.

Apache Camel.

Soft skills / Personality:

Excellent English communication skills / proactive communication.

Candidate needs to have Self-dependent working style.

Candidate needs to have problem solving skills (Strong analytical skills to identify and solve complex issues).

Candidate needs to show high Adaptability (Flexibility in adjusting to different working environments and practices).

Candidate needs to be quick in Critical thinking (Evaluating information and making informed decisions).

Candidate needs to have Team collaboration (Ability to work collaboratively with a distributed team) character.

Candidate needs to have Cultural awareness ability.

Candidate needs to be Initiative (Proactively seeking solutions and improvements).

Good to have knowledge about Co Banking systems.

Good to have Banking domain knowledge.

Experience in customer facing is an advantage.

Skills & Requirements

Java, Spring Boot, APIs/REST, Kubernetes, OpenShift, Azure DevOps, JMS, Message Queues, Quarkus, Apache Camel, Excellent English communication, Proactive communication, Self-dependent working, Problem-solving, Analytical skills, Adaptability, Critical thinking, Team collaboration, Cultural awareness, Initiative, Co-banking systems knowledge, Banking domain knowledge, Customer-facing experience.

We are seeking an experienced UX Architect to lead the development of end-to-end user experience strategies, design architecture, and usability frameworks for digital products.

UX Strategy and Leadership

• Define and implement the UX strategy for complex digital platforms.

• Translate business objectives and user insights into actionable design strategies and measurable outcomes.

• Conduct competitive benchmarking to identify opportunities and set experience standards.

• Define UX success metrics and KPIs to measure usability, engagement, and overall experience quality.

• Integrate UX strategy into Agile workflows to support continuous improvement and rapid iteration. • Establish and maintain accessibility guidelines, ensuring inclusive and compliant designs.

• Lead design critiques, UX reviews, and A/B tests to validate hypotheses and improve user experience.

• Implement UX governance and DesignOps practices to ensure consistency and design quality.

Research and User-Centered Design

• Conduct user research, discovery sessions, and usability testing to understand user needs and pain points.

• Perform heuristic evaluations and leverage data analytics, insights, and user feedback to drive design decisions.

• Turn qualitative and quantitative findings into models, personas, task analyses, and measurable KPIs, validating with prototypes of increasing fidelity.

• Develop detailed end-to-end user journey maps and personas to visualize and optimize experiences.

• Define clear information architecture (IA) and navigation models for seamless interaction.

• Design taxonomies, navigation models, and content hierarchies to help users find information and complete tasks across modules.

• Define interaction patterns, states, and flows for multi-step, multi-role scenarios — including edge cases, error handling, and accessible behaviors.

• Map domains, entities, and relationships, aligning UX models to backend structures and constraints while keeping complexity hidden from users.

• Create wireframes, flows, prototypes, and interaction models that align with both user needs and business goals.

• Design for product scalability, flexibility, localization, and long-term usability.

• Plan for scalability, localization, permissions, and large data volumes, ensuring resilience, offline support, and progressive enhancement.

• Embed accessibility standards, regional regulations, and risk controls into complex workflows with sensitive data.

UX Documentation

• Create and maintain UX documentation such as personas, journey maps, IA diagrams, and design guidelines.

• Develop and maintain architecture documentation that aligns UX with product, engineering, and compliance requirements.

 • Ensure UX-design intent is accurately implemented during UI-design and development through close collaboration with teams.

Collaboration and Communication

• Facilitate stakeholder workshops to align teams on UX goals, insights, and priorities.

• Write and present architecture documentation to align product, engineering, data, and compliance requirements.

 • Communicate UX vision, strategy, and design rationale effectively to leadership and crossfunctional teams.

• Work closely with product managers, developers, and business stakeholders to ensure cohesive and user-first outcomes.

• Review design deliverables and promote UX best practices across teams.

Mentorship and Continuous Learning

 • Mentor and guide designers to enhance their strategic thinking, design process, and creative problem-solving skills.

• Stay informed about emerging UX trends, tools, and technologies to continuously advance design capabilities.

Required Skills & Experience

 • Experience in effectively interacting with customer managers and stakeholders to understand their needs, build strong relationships, and collaborate on solutions.

• Strong communication skills with the ability to communicate and demonstrate the value and rationale for own design decisions to business and technology partners.

• Experience in managing small to medium-sized teams, including overseeing daily operations, delegating tasks, providing training and support, and ensuring team objectives are met efficiently and effectively. Strong expertise in wireframing and prototyping tools.

• Solid understanding of UX-research, UX-design, and accessibility (WCAG).

• Strong analytical and conceptual thinking skills to translate data into actionable design solutions.

• Multi-tasking skills, ability to work under pressure, and prioritize with minimal supervision.

• Team player with the ability to work with cross-functional teams

• Attention to detail and an open mind to feedback

- Good understanding of NODE JS back-end development

- Strong understanding of Node.js and frameworks available for it

- Understanding of front-end technologies, such as React or Angular, HTML and CSS3
-Solid understanding of object-oriented development and design patterns.

- Good experience with AJAX, REST and JSON

- Experience with development practices such as Test-Driven Development and Continuous Integration
-Experience in Version Control Systems like GIT, Bitbucket
- Must have good problem solving and analytical skills.

- Must be a team player, having good communication skills, self-starter

- Ability to pick up new technology is needed.

DA DS Trainer JD:

Key Responsibilities:

Develop and deliver comprehensive training programs on data science topics, including machine learning, artificial intelligence, big data, data mining, and predictive analytics.

Create engaging and interactive training materials, including presentations, hands-on exercises, case studies, and assessments.

Conduct classroom, online, and one-on-one training sessions for students at different skill levels.

Evaluate students' performance and progress, providing feedback and support to help them improve.

Stay up-to-date with the latest trends and best practices in data science and incorporate them into training programs.

Collaborate with other trainers and industry experts to continuously improve training content and methodologies.

Assist in the development of training schedules and manage training logistics.

Provide mentorship and career guidance to students aspiring to build a career in data science.

Qualifications:

Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; a Master’s degree is a plus.

Proven experience as a Data Science Trainer or a similar role.

In-depth knowledge of data science concepts and hands-on experience with tools like Python, R, TensorFlow, and Hadoop.

Excellent presentation and communication skills.

Strong organizational and time-management abilities.

Ability to simplify complex concepts and deliver them in an understandable manner.

Certification in Data Science (e.g., Microsoft Certified: Azure Data Scientist Associate) is preferred.

Preferred Skills:

Experience with LMS (Learning Management Systems) and e-learning platforms.

Strong analytical and problem-solving skills.

Ability to adapt training methods to different learning styles.

Passion for continuous learning and professional development.

Benefits:

Competitive salary and performance-based incentives.

Professional development opportunities.

Flexible working hours.

Collaborative and innovative work environment.

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

Job Responsibilities
● Implement and maintain Django-based applications

● Use server-side logic to integrate user-facing elements.

● Develop software related to asset management

● Write and implement software solutions that integrate different systems.

● Identify and suggest various opportunities to improve efficiency and functionality.

● Coordinating the workflow between the graphic designer, the HTML coder, and yourself

● Creating self-contained, reusable, and testable modules and components

● Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

● Unit-test code for robustness, including edge cases, usability, and general reliability.

● Should have the ability to work with old and new versions of django.

● Understand existing code base and adapt to business needs as required

Required Skills
● 3 years experience in software industry

● Minimum 2 year experience in Python

● Minimum 1 Year experience in Django

● Basic understanding of front end technologies like HTML, CSS, JavaScript and jQuery

● Ability to build user interfaces using the latest web standards

● Familiarity with event-driven programming in Python

● Able to create database schemas that represent and support business processes

● Strong unit test and debugging skills

● Experience working in Linux

● Excellent problem solving skills

● Excellent verbal and written communication skills

● Ability to work well in a team development environment

Education:
Bachelor’s/ Master’s degree in related field with 2+ years of experience in ERP product sales. .

Skills

• Excellent communication (verbal and written), time management skills, fast learner, self‐ motivated, and comfortable taking initiative and handling multiple projects simultaneously  
• Excellent customer approach, interpersonal and influencing skills
• Proficient and demonstrable experience in prospecting, qualifying, creating value-based demonstrations
• A sales person with a proven, successful background in sales of 2+ years of experience in ERP sales.

• Responsible for New Business Development via prospecting, qualifying, selling and closing software product sales in the Enterprise Division.
• Develop and implement strategy sales in the particular region to maximize growth opportunities, strengthen market share and maximum customer retention.
• Attracting new clients by innovating and overseeing the sales process for the business.
• Responsible for enhancing revenue, within existing and new clients, through continuous client engagement
• Set up meetings with potential clients and listen to their wishes and concerns, Improving sales strategy.
• Research and identify new market opportunities.
• Creates and conducts effective presentation and product demos
• Build & Strengthen market intelligence & sales analytics for identification of opportunities, effective client solutioning and deal conversion.
• Consistently meet and exceed sales targets
• Foster a collaborative environment within the organization.
• Identify trends and customer needs, building a short/medium/long-term sales pipeline in accordance with targets
• Prepare and deliver pitches to potential investors.
• Create and conduct proposal and presentation based on clients’ needs and closing of orders
• Be responsible for conduct webinar about our product.
• Provide timely weekly, monthly and quarterly sales reports
• Client Relationship management

About:

Pangolin is a brand consultancy and creative agency. We help companies create positive change in the world by raising awareness through branding and inspiring through storytelling. We’re growing our team of creatives and strategists. Join us if you’re craving work that makes a real difference in the world, and a work culture that allows you to have a balanced life. 

Role:

B2B Social Media Expert

Description:

Are you intimately familiar with the LinkedIn algorithm? Do you specialize in growing brand following on Twitter? Are you proficient in defining and executing social media strategies for Quora, Reddit, Instagram, and Facebook?  We’re looking for an expert with a solid understanding of how each social media channel works and how to optimize content so that it is engaging. As the B2B Digital Marketing Specialist, you will also be responsible for organizing and producing content that follows our clients’ brand guidelines.

Competencies:

• Consistent and self-driven to learn about social media platforms and trends. 
• Strong creative storytelling skills with a focus on visual and content aesthetics.

Skills:

• Working knowledge of SMM tools like Hootsuite, Moz, Loomly, etc.
• Working knowledge of design applications like Adobe Suite, Canva, etc., and other video editing tools.
• Adept at digital tools like Facebook Insights, Twitter Analytics, Google Analytics/Google Ad Manager.
• Adept at communicating in a professional, but unique social media “voice” for each client; directly aligned with the clients’ thought leadership and content platform.

Experience:

• Demonstrable B2B social networking experience and social analytics tools.
• Experience in managing multiple digital marketing campaigns with the ability to analyze and make recommendations on performance.
• Strong understanding of social media KPIs, keyword optimization tools, and social media algorithms.

Location and Type: 

Remote, Full-time

Evaluation:

Portfolios will be checked for expertise in the B2B domain. Please share only case studies of growth where the strategy and execution were owned end-to-end by you. Shortlisting will be followed by a video interview.