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Global digital transformation solutions provider
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 Role Senior Dot Net Developer
Experience 8+ years
Shift : Night shiftLocation - Remote but have to visit Trivandrum / Kochi office twice a month
Details Job Description
Candidates with 8+ years of experience in IT industry and with strong .Net/.Net Core/Azure Cloud Service/ Azure
DevOps. This is a client facing role and hence should have strong communication skills. This is for a US client, and
the resource should be hands-on - experience in coding and Azure Cloud.
Working hours - 8 hours, with 4 hours of overlap during EST Time zone. (12 PM - 9 PM)
This overlap hours is mandatory as meetings happen during this overlap hours.
Responsibilities
Design, develop, enhance, document, and maintain robust applications using .NET Core 6/8+, C#, REST APIs, T-
SQL, and modern JavaScript/jQuery
☑ Integrate and support third-party APIs and external services
☑ Collaborate across cross-functional teams to deliver scalable solutions across the full technology stack
☑ Identify, prioritize, and execute tasks throughout the Software Development Life Cycle (SDLC)
☑ Participate in Agile/Scrum ceremonies and manage tasks using Jira
☑ Understand technical priorities, architectural dependencies, risks, and implementation challenges
☑ Troubleshoot, debug, and optimize existing solutions with a strong focus on performance and reliability.
Primary Skills
8+ years of hands-on development experience with:
☑ C#, .NET Core 6/8+, Entity Framework / EF Core
☑ JavaScript, jQuery, REST APIs
☑ Expertise in MS SQL Server, including:
☑ Complex SQL queries, Stored Procedures, Views, Functions, Packages, Cursors, Tables, and Object Types
☑ Skilled in unit testing with XUnit, MSTest
☑ Strong in software design patterns, system architecture, and scalable solution design
☑ Ability to lead and inspire teams through clear communication, technical mentorship, and ownership
☑ Strong problem-solving and debugging capabilities
☑ Ability to write reusable, testable, and efficient code
☑ Develop and maintain frameworks and shared libraries to support large-scale applications
☑ Excellent technical documentation, communication, and leadership skills
☑ Microservices and Service-Oriented Architecture (SOA)
☑ Experience in API Integrations
2+ years of hands with Azure Cloud Services, including:☑Azure Functions☑Azure Durable Functions☑Azure Service Bus, Event Grid, Storage Queues☑Blob Storage, Azure Key Vault, SQL Azure☑Application Insights, Azure Monitoring.
Secondary Skills
☑Familiarity with AngularJS, ReactJS, and other front-end frameworks
☑Experience with Azure API Management (APIM)
☑Knowledge of Azure Containerization and Orchestration (e.g., AKS/Kubernetes)
☑Experience with Azure Data Factory (ADF) and Logic Apps
☑Exposure to Application Support and operational monitoring
☑Azure DevOps - CI/CD pipelines (Classic / YAML).
Certifications Required (IF Any)
Microsoft Certified: Azure Fundamentals
☑Microsoft Certified: Azure Developer Associate
☑Other relevant certifications in Azure, .NET, or Cloud technologies.
Fashion Consultant
Assistant Store Manager
Store Manager
Location : Kochi
Experience in Apparel Industry
Job Summary
We are looking for a skilled Data Engineer with 4+ years of experience in Python, SQL, and Power BI. The candidate will be responsible for building and maintaining data pipelines, transforming and analyzing data, and developing dashboards to support business decision-making.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Extract, transform, and load data from multiple sources using Python and SQL.
- Develop and optimize complex SQL queries, stored procedures, and database objects.
- Create interactive dashboards and reports using Power BI.
- Ensure data quality, integrity, and consistency across systems.
- Collaborate with business stakeholders to gather reporting and analytics requirements.
- Monitor and troubleshoot data pipeline and reporting issues.
- Perform data validation, testing, and performance tuning.
- Document data processes, workflows, and technical specifications.
Required Skills
- 4+ years of experience in Data Engineering or related roles.
- Strong proficiency in Python (Pandas, NumPy, ETL scripting).
- Strong hands-on experience with SQL (query optimization, joins, stored procedures).
- Experience with Power BI (DAX, Power Query, dashboard development).
- Knowledge of ETL/ELT processes and data warehousing concepts.
- Experience working with relational databases such as SQL Server, PostgreSQL, MySQL, or Oracle.
- Understanding of data modeling and database design principles.
- Experience with version control tools such as Git.
Preferred Skills
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Knowledge of data integration tools like Azure Data Factory, SSIS, Airflow, or Informatica.
- Familiarity with Databricks, Spark, or big data technologies.
- Understanding of CI/CD and DevOps practices.
- Experience with REST APIs and data integration.

Global Digital Transformation Solutions Provider
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.
Position: Fashion Assistant (Retail Sales – Formal Wear)
Brand: Arrow
Location:
- LULU Mall, Cochin, Kerala
- MG Road, Cochin, Kerala
Job Description:
We are hiring Fashion Assistants for our premium formal wear brand Arrow. The role involves assisting customers, driving sales, maintaining store presentation, and delivering an excellent shopping experience.
Responsibilities:
- Greet and assist customers with product selection
- Maintain product display and store hygiene
- Achieve daily/weekly sales targets
- Provide styling suggestions and ensure customer satisfaction
- Handle billing and basic store operations
Requirements:
- Strong communication and interpersonal skills
- Good grooming and pleasant personality
- Prior experience in fashion/retail sales preferred (formal wear experience is a plus)
- Freshers with excellent communication skills are also welcome
- Willing to work 6 days a week in rotational shifts (10 AM – 10 PM)
Interview Drive Details:
Date: Friday, 10th October 2025
Venue: Pillar No: 650, Mahatma Gandhi Rd, near Imperial Trade Centre, Padma Junction, Kacheripady, Kochi – 682035
Time: 11:00 AM onwards
Job Title: Accounts Executive
Location: Kochi
Salary: ₹20,000–₹23,000/month
Requirements:
- Male candidate with minimum 1 year of accounting experience
- Proficient in Tally and basic accounting principles
- Knowledge of GST filing preferred
- Strong attention to detail and accuracy
Responsibilities:
- Handle day-to-day accounting entries and reconciliations
- Assist in GST returns and financial reports
- Support month-end and year-end financial processes
We Are Hiring – Area Sales Manager
Company: KGISL – Million Genius Coders (MGC)
Sector: B2B
Locations: Palakkad, Thrissur, Kochi, Trivandrum
KGISL – Million Genius Coders (MGC) is expanding its presence and invites applications for the role of Area Sales Manager. The ideal candidate will be responsible for driving business growth, building strong client relationships, and achieving sales objectives within the assigned territory.
Interested Candidates Can DM or fill the google form : https://docs.google.com/forms/d/1J6WfOUmv9_u9dZAqmQvPndF7pLtqDDD2rP0nC7oCR1U/viewform
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.
JD for Devops
Experience: 5+ years
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Job Description |
Interprets the DevOps Tool/feature/component design to develop/support the same in accordance with specifications |



