11+ Community Management Jobs in Kochi (Cochin) | Community Management Job openings in Kochi (Cochin)

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.

Fashion Consultant

Assistant Store Manager

Store Manager

Location : Kochi

Experience in Apparel Industry

Job Summary:

Deqode is looking for a highly motivated and experienced Python + AWS Developer to join our growing technology team. This role demands hands-on experience in backend development, cloud infrastructure (AWS), containerization, automation, and client communication. The ideal candidate should be a self-starter with a strong technical foundation and a passion for delivering high-quality, scalable solutions in a client-facing environment.

Key Responsibilities:

• Design, develop, and deploy backend services and APIs using Python.
• Build and maintain scalable infrastructure on AWS (EC2, S3, Lambda, RDS, etc.).
• Automate deployments and infrastructure with Terraform and Jenkins/GitHub Actions.
• Implement containerized environments using Docker and manage orchestration via Kubernetes.
• Write automation and scripting solutions in Bash/Shell to streamline operations.
• Work with relational databases like MySQL and SQL, including query optimization.
• Collaborate directly with clients to understand requirements and provide technical solutions.
• Ensure system reliability, performance, and scalability across environments.

Required Skills:

• 3.5+ years of hands-on experience in Python development.
• Strong expertise in AWS services such as EC2, Lambda, S3, RDS, IAM, CloudWatch.
• Good understanding of Terraform or other Infrastructure as Code tools.
• Proficient with Docker and container orchestration using Kubernetes.
• Experience with CI/CD tools like Jenkins or GitHub Actions.
• Strong command of SQL/MySQL and scripting with Bash/Shell.
• Experience working with external clients or in client-facing roles.

Preferred Qualifications:

• AWS Certification (e.g., AWS Certified Developer or DevOps Engineer).
• Familiarity with Agile/Scrum methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

About Founding Minds

At Founding Minds, we are one of the preferred product development partners in the software industry, collaborating with clients across the globe to design and build innovative software products. We also serve as an incubator for many startups, giving our team members exposure to diverse projects and emerging technologies. As a contributor, you’ll have the opportunity to brainstorm with talented individuals, explore new ideas, and apply a wide range of technologies. We encourage ownership, continuous learning, and innovation. If you are passionate about technology and problem-solving, Founding Minds offers limitless opportunities to grow your career.

Role Overview

We are looking for a Junior Automation Engineer with hands-on experience in automation tool. The ideal candidate will assist in building automation solutions, integrating AI capabilities, and contributing to innovative automation initiatives across domains.

Key Responsibilities

·       Develop and implement automation workflows using automation tools and scripting languages.

·       Assist in integrating AI agents.

·       Work collaboratively with cross-functional teams to understand and deliver project requirements.

·       Support deployment and management of automation solutions on cloud platforms.

·       Gain exposure to OCR and document processing systems to enhance automation accuracy.

·       Troubleshoot, maintain, and continuously improve existing automation workflows.

Required Skills and Experience

·       Total Experience: Around 5 years

·       Automation experience: 2 years

·       Development experience in any programming language (Python, Java, C#, etc.)

·       Basic understanding of AI Agents and their application in automation.

·       Familiarity with OCR and document processing technologies.

·       Working knowledge of cloud platforms; experience with Docker or Kubernetes is an advantage.

·       Strong analytical, problem-solving, and communication skills.

·       Eagerness to learn and grow in automation and AI-driven technologies.

Why Join Us

·       Work with a dynamic team on cutting-edge automation projects.

·       Opportunity to learn, innovate, and grow in a fast-evolving domain.

·       Exposure to multiple technologies and real-world product challenges.

·       Supportive, collaborative, and growth-oriented work culture.

If you’re enthusiastic about automation and eager to learn, Founding Minds is the place to accelerate your career journey.

We are looking for a passionate and experienced Business Analyst Trainer to join our training team. This role involves delivering high-quality training programs on business analysis tools, methodologies, and best practices, both in-person and online.

Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data

solutions, from data architecture and ingestion to processing, analysis, and reporting. This role

ensures that data projects are completed on time, within scope, and aligned with business

objectives. The Data Delivery Manager works with cross-functional teams, including data

engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key

Responsibilities: Project and Program Management: o Lead and manage the delivery of data-

driven projects, ensuring they are completed on time and within budget. o Develop and maintain

project plans, timelines, and resource allocation. o Monitor project progress and proactively

identify risks, implementing solutions to ensure successful project completion. o Ensure alignment

between data initiatives and business goals, maintaining continuous communication with

stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business

stakeholders and the data team, translating business requirements into technical specifications. o

Collaborate with business leaders to understand data needs and develop solutions that meet

those needs. o Provide regular updates on project status, risks, and key deliverables to

stakeholders and leadership teams. o Facilitate meetings to gather requirements and

communicate project milestones. Data Strategy & Architecture: o Oversee the design and

implementation of data solutions that support business objectives. o Ensure adherence to data

governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data

architects to define scalable, secure, and high-performance data architectures. o Support data

integration initiatives across different platforms, ensuring smooth and efficient data flow. Team

Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and

other professionals to deliver projects effectively. o Provide leadership and mentoring to team

members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear

expectations, performance goals, and career development opportunities for the team. o Address

and resolve any team challenges, ensuring high levels of productivity and motivation. Quality

Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust

testing, validation, and review processes. o Develop and enforce data standards, best practices,

and methodologies to ensure consistent, high-quality deliverables. o Drive continuous

improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk

Management and Troubleshooting: o Identify potential risks to project delivery, including data

pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o

Troubleshoot and resolve data-related issues and challenges during the project lifecycle.

Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and

performance metrics. o Ensure that data solutions provide actionable insights for the business,

driving informed decision-making. Experience: o 5+ years of experience in managing programs

related to data management, data engineering, or analytics. o Proven track record in managing

data projects and delivering data solutions in a timely manner. o Experience with data integration,

data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL

processes, and data analytics. Skills: o In-depth knowledge of data management tools and

technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure).

o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership

and team management skills, with the ability to drive collaboration across different functions. o

Excellent communication skills with the ability to translate complex data-related concepts into

understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-

solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau,

Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master

certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google

Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies

(e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data

solutions. o Experience with data governance and compliance (e.g., GDPR).

• BE/ B.Tech/ MCA/ BCA
• Strong organizational and project management skills.
• Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript.
• Familiarity with JavaScript frameworks such as Angular JS, React
• Familiarity with database technology such as MySQL, Oracle, and MongoDB.
• Excellent verbal communication skills.
• Good problem-solving skills.
• Attention to detail.

Daily monitoring of Quantum's processes to ensure file transmissions to and from the system

• Ensure that any Quantum production issues with an emphasis on the modules ( Cash Management, Bank Reconciliation, Foreign Exchange, I/C loans, Money Market, Investments, etc.) are resolved on time
• Actively working with Quantum and internal IT teams to resolve issues with bank files and data transmissions between Quantum and other systems including retrieval of market rates