11+ Test Manager Jobs in Mumbai | Test Manager Job openings in Mumbai

Requirements:

·  UIPath certification

·  Proficient in UI Path Platform, Test Manage, Test Suite, with 6+ years of Experience on Test Automation

·  Hands-on experience in building automated scripts using Low-Code No-Code Platform (UIpath)

·  Experience on Testing SOAP or REST API

·  Experience building data driven tests and frameworks for Web, Windows, and Micro services.

·  Understanding of test methodologies (regression, functional, unit, integration, code coverage, performance, etc.)

·  Experience building data driven tests and frameworks for Web, Windows, and Micro services.

·  Designing and developing test automation frameworks and understanding of test automation design patterns and software testing principles.

·  Familiarity with Relational Databases and SQL

·  Bachelor's degree in computer science, engineering or related field

·  Minimum of 7 years of experience in software testing and test automation

·  Minimum of 5 years of experience in UIPath test automation

·  Strong knowledge of test automation frameworks and tools

·  Experience with continuous integration and continuous delivery (CI/CD) pipelines

·  Ability to analyze and debug complex issues

·  Excellent problem-solving skills

·  Strong communication skills and ability to work collaboratively in a team environment

·  Knowledge of agile methodologies

 Flexibility

Need to be flexible with respect to working times, provide two hours overlap with IST (Central Time) and UK time on an ongoing basis.

If you are passionate about test automation and have experience with UIPath, we encourage you to apply for this exciting opportunity. We offer a competitive salary, excellent benefits, and opportunities for growth and development.

We are solving complex technical problems in the financial industry and need talented software engineers to join our mission and be a part of a global software development team. 

A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Job Description: 

• Experience in Core Java, Spring Boot. 

• Experience in microservices. 

• Extensive experience in developing enterprise-scale systems for global organization. Should possess good architectural knowledge and be aware of enterprise application design patterns. 

• Should be able to analyze, design, develop and test complex, low-latency client-facing applications. 

• Good development experience with RDBMS in SQL Server, Postgres, Oracle or DB2 

• Good knowledge of multi-threading 

• Basic working knowledge of Unix/Linux 

• Excellent problem solving and coding skills in Java 

• Strong interpersonal, communication and analytical skills. 

• Should be able to express their design ideas and thoughts. 

Role & Responsibilities

drives large-scale data modernization and AI readiness for global enterprises. We are looking for an experienced Data Modeler to design, standardize, and maintain enterprise data models across our modernization initiatives — ensuring consistency, quality, and business alignment across cloud data platforms.

The person will be responsible for translating business requirements and data flows into robust conceptual, logical, and physical data models across multiple domains (Customer, Product, Finance, Supply Chain, etc.). You will work closely with Data Architects, Engineers, and Governance teams to ensure data is structured, traceable, and optimized for analytics and interoperability across platforms like Snowflake, Dremio, and Databricks.

Key Responsibilities-

• Develop conceptual, logical, and physical data models aligned with enterprise architecture standards.
• Engage with Business Stakeholders: Collaborate with business teams, business analysts and SMEs to understand business processes, data lifecycles, and key metrics that drive value and outcomes.
• Value Chain Understanding: Analyze end-to-end customer and product value chains to identify critical data entities, relationships, and dependencies that should be represented in the data model.
• Conceptual and Logical Modeling: Translate business concepts and data requirements into conceptual and logical data models that capture enterprise semantics and support analytical and operational needs.
• Physical Data Modeling: Design and implement physical data models optimized for performance and scalability
• Semantic Layer Design: Create semantic models that enable business access to data via BI tools and data discovery platforms.
• Data Standards and Governance: Ensure models comply with enterprise data standards, naming conventions, lineage tracking, and governance practices.
• Implement naming conventions, data standards, and metadata definitions across all models.
• Collaboration with Data Engineering: Work closely with data engineers to align data pipelines with the logical and physical models, ensuring consistency and accuracy from ingestion to consumption.
• Manage version control, lineage tracking, and change documentation for models.
• Participate in data quality and governance initiatives to ensure trusted and consistent data definitions across domains.
• Create and maintain a business glossary in collaboration with the governance team.

Ideal Candidate

• Strong Enterprise Data Modeller profile (Modern Data Platforms)
• Mandatory (Experience 1) – Must have 7+ years of experience in Data Modeling or Enterprise Data Architecture, with strong hands-on expertise in designing conceptual, logical, and physical data models for enterprise data platforms
• Mandatory (Experience 2) – Must have Strong hands-on experience with enterprise data modeling tools such as Erwin, ER/Studio, PowerDesigner, SQLDBM, or similar enterprise data modeling tools
• Mandatory (Experience 3) – Must have Deep understanding of dimensional modeling (Kimball / Inmon methodologies), normalization techniques, and schema design for modern data warehouse environments.
• Mandatory (Experience 4) – Proven experience designing data models for modern data platforms such as Snowflake, Databricks, Redshift, Dremio, or similar cloud data warehouse / lakehouse systems.
• Mandatory (Experience 5) – Must have strong SQL expertise and schema design skills, with the ability to validate data model implementations and collaborate closely with data engineering teams
• Mandatory (Education) – Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.
• Preferred (Experience 1) – Should have familiarity with data governance, metadata management, lineage, and business glossary tools such as Collibra, Alation, or Microsoft Purview.
• Preferred (Experience 2) – Exposure to data integration pipelines and ETL frameworks such as Informatica, DBT, Airflow, or similar tools.
• Preferred (Data Management) – Understanding of master data management (MDM) and reference data management principles.
• Preferred (Domain) – Experience working with high-tech or manufacturing data domains, including customer, product, or supply chain data models

Job Description:

As a DevOps Engineer at Cateina Technology, you will play a crucial role in enhancing our development

and deployment processes. You will work closely with development, QA, and operations teams to ensure

seamless integration and delivery of high-quality software. Your expertise will contribute to the stability,

scalability, and performance of our applications and infrastructure.

Key Responsibilities:

● Infrastructure Management: Design, implement, and maintain scalable, secure, and reliable

infrastructure on cloud platforms (AWS)

● Continuous Integration/Continuous Deployment (CI/CD): Develop and maintain CI/CD pipelines

to automate code deployment, testing, and delivery processes.

● Monitoring and Logging: Implement monitoring, logging, and alerting solutions to ensure

system performance, availability, and reliability.

● Configuration Management: Use configuration management tools (Ansible, Puppet, Chef) to

automate system setup, configuration, and updates.

● Collaboration: Work closely with development teams to understand their needs and provide

support for development, testing, and deployment environments.

● Security: Implement security best practices and ensure compliance with industry standards.

● Troubleshooting: Diagnose and resolve issues in development, testing, and production

environments.

Documentation: Maintain detailed and accurate documentation of configurations, processes,

and procedures.

Requirements:

● Experience: 4-5 years of experience in a DevOps or related role.

● Technical Skills:

o Strong experience with cloud platforms (AWS)

o Proficiency in scripting languages (Python, Bash, etc.).

o Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI, etc.).

o Knowledge of containerization and orchestration (Docker)

o Familiarity with configuration management tools (Ansible, Puppet, Chef).

o Experience with monitoring and logging tools (Prometheus, Grafana, ELK stack).

o Mandatory Technical Skills Kubernetes.

● Soft Skills:

o Strong problem-solving and analytical skills.

o Excellent communication and collaboration abilities.

o Ability to work in a fast-paced and dynamic environment.

Preferred Qualifications:

● Certifications: Relevant certifications (AWS Certified DevOps Engineer, Docker Certified

Associate, etc.) are a plus.

● Education: Bachelor's degree in Computer Science, Engineering, or a any field is preferred.

Who can apply

Candidates who:

● Are local to Mumbai and suburbs(must come to office, it is not work from home) outside

Mumbai candidates will not be considered

● have own laptop or desktop

● are flexible to work on any technology

● openness to work in shifts (if required)

● are willing to travel to client site anywhere in India (if required)

Job Position: Content Manager / Lead

Working Days: 5

Industry: Ecommerce

Preferred Skills: script development, Content Management, Social Media Management, Shoot Planning & Execution

Functions: Video Editors/Graphic Designers

Job Description: 

We’re looking for a creative, trend-obsessed Content Manager to lead content across social media and production. If you are someone who understands organic content, loves storytelling, and thrives in a fast-paced creative environment, this may just be your calling.

You get to plan, create, shoot, collaborate, and turn everyday ideas into scroll-stopping content people can’t ignore.

Social Media Management:

● Own and execute end-to-end content calendars across platforms including Instagram, YouTube, LinkedIn, and emerging channels.

● Collaborate closely with design, marketing, and creative teams to produce high-impact posts, stories, and reels.

● Monitor and analyze social media performance metrics and optimize content strategies based on insights.

Video Content & Creative Strategy:

● Plan, shoot, and edit short-form video content such as Reels, YouTube Shorts, product demos, and campaign creatives.

● Ensure all content aligns with brand guidelines while maintaining high creative and engagement standards.

● Stay updated with industry trends and continuously introduce fresh, innovative content ideas.

Who You Are:

● A creative and strategic content professional with 5+ years of experience in content, social media, or influencer marketing.

● Experienced in leading and managing teams (10+ members) while driving content execution and performance.

● Skilled in storytelling with a strong visual sense and understanding of digital-first brand communication.

● Highly organized with strong communication and project management skills.

● Experienced in working with influencers, creators, and cross-functional teams.

● Deeply aware of social media trends, platform algorithms, and audience behavior.

● Passionate about creating engaging content within health, beauty, wellness, lifestyle, or D2C brands.

Strong Angular Experience

Java

Rest API, SQL

OOPS concept, Design Patterns, Spring boot, BDD framework,

UNIX/Linux

Basic Python

CI/CD Pipelines

Agile development methodology

 Job DescriptionPosition: Sr Data Engineer – Databricks & AWS

Experience: 4 - 5 Years

Company Profile:

Exponentia.ai is an AI tech organization with a presence across India, Singapore, the Middle East, and the UK. We are an innovative and disruptive organization, working on cutting-edge technology to help our clients transform into the enterprises of the future. We provide artificial intelligence-based products/platforms capable of automated cognitive decision-making to improve productivity, quality, and economics of the underlying business processes. Currently, we are transforming ourselves and rapidly expanding our business.

Exponentia.ai has developed long-term relationships with world-class clients such as PayPal, PayU, SBI Group, HDFC Life, Kotak Securities, Wockhardt and Adani Group amongst others.

One of the top partners of Cloudera (leading analytics player) and Qlik (leader in BI technologies), Exponentia.ai has recently been awarded the ‘Innovation Partner Award’ by Qlik in 2017.

Get to know more about us on our website: http://www.exponentia.ai/ and Life @Exponentia.

​Role Overview: 

·         A Data Engineer understands the client requirements and develops and delivers the data engineering solutions as per the scope.

·         The role requires good skills in the development of solutions using various services required for data architecture on Databricks Delta Lake, streaming, AWS, ETL Development, and data modeling.

Job Responsibilities

•         Design of data solutions on Databricks including delta lake, data warehouse, data marts and other data solutions to support the analytics needs of the organization.

•         Apply best practices during design in data modeling (logical, physical) and ETL pipelines (streaming and batch) using cloud-based services.

•         Design, develop and manage the pipelining (collection, storage, access), data engineering (data quality, ETL, Data Modelling) and understanding (documentation, exploration) of the data.

•         Interact with stakeholders regarding data landscape understanding, conducting discovery exercises, developing proof of concepts and demonstrating it to stakeholders.

Technical Skills 

•         Has more than 2 Years of experience in developing data lakes, and datamarts on the Databricks platform.

•         Proven skill sets in AWS Data Lake services such as - AWS Glue, S3, Lambda, SNS, IAM, and skills in Spark, Python, and SQL.

•         Experience in Pentaho

•         Good understanding of developing a data warehouse, data marts etc.

•         Has a good understanding of system architectures, and design patterns and should be able to design and develop applications using these principles.

Personality Traits

•         Good collaboration and communication skills

•         Excellent problem-solving skills to be able to structure the right analytical solutions.

•         Strong sense of teamwork, ownership, and accountability

•         Analytical and conceptual thinking 

•         Ability to work in a fast-paced environment with tight schedules.

•         Good presentation skills with the ability to convey complex ideas to peers and management.

Education:

BE / ME / MS/MCA.