QA Manager

Are you passionate about leveraging data to drive strategic decisions? Join us at OIP Insurtech, where you'll play a pivotal role in analyzing market trends, optimizing operational processes, and transforming customer experiences. Bring your analytical prowess and business acumen to collaborate with a dynamic team dedicated to shaping the future of insurance technology. Apply now and be part of revolutionizing the industry with cutting-edge insights and solutions.

Requirements:

• 3-5 years of experience 
• Capable of independently conducting various aspects of business analysis, including requirements gathering, process analysis, and documentation. 
• Proactive in identifying and prioritizing issues within their domain and taking the initiative to work with the team to resolve them.
• Strong background in accounting and/or financial controlling 
• Demonstrates a high level of skill and independence
• Understands the full business analysis lifecycle and is proficient in handling various business problems and custom cases.
• Good knowledge of English
• Experience in accounting business analysis in the IT industry is highly desirable 
• Working knowledge of software development concepts, technologies, practices, and principles, and the ability to use them in different situations independently
• Good understanding of the software development lifecycle

Duties and responsibilities:

• Works closely with the development team and other stakeholders to investigate model business functions, business processes, information flows, and data structures
• Investigate operational issues, problems, and new opportunities; seek effective business solutions through improvements in aspects of business areas or systems of interest
• Assists in the analysis of underlying issues and their root causes, and identifies available options
• Communicates with clients and other stakeholders and assists in presenting issues and solutions both verbally and in writing
• Specifies data, data objects, and information flows that align with the needs of the business
• Produces business analysis deliverables using relevant documentation styles in line with company standards
• Facilitates stakeholder meetings and workshops, and presents findings and actions both verbally and in writing to the business
• Able to translate business requirements into a structured form
• Able to create structure within projects and project teams following Agile principles
• Understands the domain (Insurance Industry) and how it functions, after spending 6M in the company
• Understands the entire Policy Lifecycle, after spending 6M in the company
• Experience in using tools like Jira, Confluence, LucidChart, or other software for requirements management, documentation, and process modeling
• Experience with Agile frameworks
• Experience with testing methodologies, test planning, and quality assurance processes to ensure reliable and robust systems

We are offering a structured unpaid Digital Marketing Internship for individuals who want real, hands-on experience instead of just theory. This program is designed for students and beginners who are serious about learning, executing, and building a practical skill set.

This is not a stipend-based role. The focus is learning, implementation, and measurable improvement.

What You Will Learn & Work On

During the internship, you will receive guided learning materials and direct mentorship while working on real tasks, including:

• Social media content planning and scheduling
• Basic graphic content coordination (Canva or similar tools)
• SEO fundamentals (keyword research, on-page basics)
• Content writing for blogs and social platforms
• Market and competitor research
• Performance tracking and basic analytics reporting
• Campaign planning fundamentals

You will not just “observe.” You will execute.

What We Provide

• Structured learning resources
• Practical assignments and live project exposure
• Regular mentorship and performance feedback
• Skill development roadmap
• Internship Completion Certificate (based on performance and discipline)

What We Expect

• Consistency and discipline
• Willingness to learn and take feedback
• Meeting deadlines without excuses
• Basic understanding of social media platforms
• Stable internet and working system

This opportunity is for candidates who value growth and experience over short-term compensation.

Important Note

This is a completely unpaid internship. There is no stipend. If your priority is immediate financial compensation, this role is not suitable for you.

If your priority is learning, execution, and building practical digital marketing skills, then this can be a strong starting point.

Review Criteria

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

• Preferred (Nice-to-have) – Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Job Specific Criteria

• CV Attachment is mandatory
• How many years of experience you have with Dremio?
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate

• Bachelor’s or master’s in computer science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Strong senior Dialer Manager Profile

Mandatory (Experience 1): Must have 8+ years of core dialer operations, Outbound Campaign Management, or Contact Center Technology

Mandatory (Experience 2): Must have experience in dialer strategy design, not just daily execution

Mandatory (Experience 3): Must have experience in evaluating and optimizing dialer performance metrics like Connect %, RPC %, Drop %, Idle %, Agent Efficiency, and SLAs

Mandatory (Experience 4): Must have exposure to dialer performance tuning, campaign throttling, and system configuration changes.

Mandatory (Experience 5): Must have hands-on experience in outbound campaign creation, list uploads, pacing changes, and real-time monitoring.

Mandatory (Experience 6): Must have strong understanding of compliance frameworks — DND, TCPA, Time-band rules, NDNC, Regulatory Audit Compliance.

Mandatory (Experience 7): Must be capable of end-to-end troubleshooting — call flow breaks, API failures, routing issues, list failure analysis.

Mandatory (Team Lead): Must have 2+ years of experience in leading a team of dialer analysts / RTAs, agents etc

Mandatory (Collaboration): Must have experience in working with WFM, Ops Heads, MIS, Risk, and Technology teams

Mandatory (Functional Requirement): Must be able to work with Ops and lead daily dialer execution independently

Company: PluginLive

About the company:

PluginLive Technology Pvt Ltd is a leading provider of innovative HR solutions. Our mission is to transform the hiring process through technology and make it easier for organizations to find, attract, and hire top talent. We are looking for a passionate and experienced Data Engineering Lead to guide the data strategy and engineering efforts for our Campus Hiring Digital Recruitment SaaS Platform.

Role Overview:

The Data Engineering Lead will be responsible for leading the data engineering team and driving the development of data infrastructure, pipelines, and analytics capabilities for our Campus Hiring Digital Recruitment SaaS Platform. This role requires a deep understanding of data engineering, big data technologies, and team leadership. The ideal candidate will have a strong technical background, excellent leadership skills, and a proven track record of building robust data systems.

Job Description

Position: Data Engineering Lead - Campus Hiring Digital Recruitment SaaS Platform

Location: Chennai

Minimum Qualification:  Bachelor’s degree in computer science, Engineering, Data Science, or a related field. Master’s degree or equivalent is a plus.

Experience:  7+ years of experience in data engineering, with at least 3 years in a leadership role.

CTC:  20-30 LPA 

Employment Type:  Full Time

Key Responsibilities:

Data Strategy and Vision:

• Develop and communicate a clear data strategy and vision for the Campus Hiring Digital Recruitment SaaS Platform.
• Conduct market research and competitive analysis to identify trends, opportunities, and data needs.
• Define and prioritize the data roadmap, aligning it with business goals and customer requirements.

Data Infrastructure Development:

• Design, build, and maintain scalable data infrastructure and pipelines to support data collection, storage, processing, and analysis.
• Ensure the reliability, scalability, and performance of the data infrastructure.
• Implement best practices in data management, including data governance, data quality, and data security.

Data Pipeline Management:

• Oversee the development and maintenance of ETL (Extract, Transform, Load) processes.
• Ensure data is accurately and efficiently processed and available for analytics and reporting.
• Monitor and optimize data pipelines for performance and cost efficiency.

Data Analytics and Reporting:

• Collaborate with data analysts and data scientists to build and deploy advanced analytics and machine learning models.
• Develop and maintain data models, dashboards, and reports to provide insights and support decision-making.
• Ensure data is easily accessible and usable by stakeholders across the organization.

Team Leadership:

• Lead, mentor, and guide a team of data engineers, fostering a culture of collaboration, continuous improvement, and innovation.
• Conduct code reviews, provide constructive feedback, and ensure adherence to development standards.
• Collaborate with cross-functional teams including product, engineering, and marketing to ensure alignment and delivery of data goals.

Stakeholder Collaboration:

• Work closely with stakeholders to understand business requirements and translate them into technical specifications.
• Communicate effectively with non-technical stakeholders to explain data concepts and progress.
• Participate in strategic planning and decision-making processes.

Skills Required:

• Proven experience in designing and building scalable data infrastructures and pipelines.
• Strong proficiency in programming languages such as Python, R, Data visualization tools like Power BI, Tableau, Qlik, Google Analytics
• Expertise in big data technologies such as Apache Airflow, Hadoop, Spark, Kafka, and cloud data platforms like AWS, Oracle Cloud.
• Solid understanding of database technologies, both SQL and NoSQL.
• Experience with data modeling, data warehousing, and ETL processes.
• Strong analytical and problem-solving abilities.
• Excellent communication, collaboration, and leadership skills.

Preferred Qualifications:

• 
  
• Experience in HR technology or recruitment platforms.
• Familiarity with machine learning and AI technologies.
• Knowledge of data governance and data security best practices.
• Contributions to open-source projects or active participation in the tech community.

Proven SEO experience

Proven SEM experience managing PPC campaigns across Google, Yahoo and Bing.

Solid understanding of performance marketing, conversion, and online customer acquisition

In-depth experience with website analytics tools (e.g, Google Analytics, NetInsight, Omniture, WebTrends)

Experience with bid management tools (e.g., Click Equations, Marin, Kenshoo, Search Ignite)

Experience with A/B and multivariate experiments

Working knowledge of HTML, CSS, and JavaScript development and constraints

Knowledge of ranking factors and search engine algorithms

Up-to-date with the latest trends and best practices in SEO and SEM

Client: MNC (WFO)

Role: DOT NET DEVELOPER

Exp: 4 years to 6 years

CTC : UPTO 30 lpa.

NOTE:Serving notice period (30days/immediate joiner.

Candidates from Bangalore location only apply.

• Hands-on working knowledge and experience is required in:

• Extensive experience working on C#, .net and .net core frameworks
• Relational Databases (SQL Server, Oracle, PostgreSQL, etc.)
• NoSQL Databases (Mongo, Cloud Spanner, etc.)
• Agile Methodologies (Scrum, TDD, BDD, etc.)
• Experience working with distributed teams across regions and time zones
• Strong organizational skills
• Display detailed, critical, quality-oriented, skeptical thinking about the product

• Experience with several of the following tools/technologies is desirable:

• GIT, Jira, Jenkins, SharePoint, Visual Studio Code.
• Microservices Architecture, Domain Driver Design, Test Driven Development is a bonus
• Design Patterns and implementing the Design Patterns
• Development of Complex Application and System Architectures
• Data Structures and Algorithms using Typescript, C# and .NET
• Experience working in Google Cloud will be a big bonus as all our systems are in the Cloud
• Knowledge of REST and gRPC API’s is a bonus

• Knowledge of the following technologies is a plus:

• Continuous Integration and Continuous Delivery Tools like GitHub, Git, etc.
• Containerization Technologies (Docker)