
Primary skill set: QA Automation, Python, BDD, SQL
As Senior Data Quality Engineer you will:
- Evaluate product functionality and create test strategies and test cases to assess product quality.
- Work closely with the on-shore and the offshore team.
- Work on multiple reports validation against the databases by running medium to complex SQL queries.
- Better understanding of Automation Objects and Integrations across various platforms/applications etc.
- Individual contributor exploring opportunities to improve performance and suggest/articulate the areas of improvements importance/advantages to management.
- Integrate with SCM infrastructure to establish a continuous build and test cycle using CICD tools.
- Comfortable working on Linux/Windows environment(s) and Hybrid infrastructure models hosted on Cloud platforms.
- Establish processes and tools set to maintain automation scripts and generate regular test reports.
- Peer review to provide feedback and to make sure the test scripts are flaw-less.
Core/Must have skills:
- Excellent understanding and hands on experience in ETL/DWH testing preferably DataBricks paired with Python experience.
- Hands on experience SQL (Analytical Functions and complex queries) along with knowledge of using SQL client utilities effectively.
- Clear & crisp communication and commitment towards deliverables
- Experience on BigData Testing will be an added advantage.
- Knowledge on Spark and Scala, Hive/Impala, Python will be an added advantage.
Good to have skills:
- Test automation using BDD/Cucumber / TestNG combined with strong hands-on experience with Java with Selenium. Especially working experience in WebDriver.IO
- Ability to effectively articulate technical challenges and solutions
- Work experience in qTest, Jira, WebDriver.IO

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
Connect with the team
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Budget: Open / Competitive
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We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data solutions that support advanced analytics and machine learning initiatives. You will lead the development of reliable, high-performance data systems and collaborate closely with data scientists to enable data-driven decision-making.
In this role, we expect a forward-thinking professional who utilizes AI-augmented development tools (such as Cursor, Windsurf, or GitHub Copilot) to increase engineering velocity and maintain high code standards in a modern enterprise environment.
Key Responsibilities:
- Scalable Pipelines: Design, develop, and optimize end-to-end data pipelines using SQL, Python, and PySpark.
- ETL/ELT Workflows: Build and maintain workflows to transform raw data into structured, analytics-ready datasets.
- ML Integration: Partner with data scientists to deploy and integrate machine learning models into production environments.
- Cloud Infrastructure: Manage and scale data infrastructure within AWS and Azure ecosystems.
- Data Warehousing: Utilize Databricks and Snowflake for big data processing and enterprise warehousing.
- Automation & IaC: Implement workflow orchestration using Apache Airflow and manage infrastructure as code via Terraform.
- Performance Tuning: Optimize data storage, retrieval, and system performance across data warehouse platforms.
- Governance & Compliance: Ensure data quality and security using tools like Unity Catalog or Hive Metastore.
- AI-Augmented Development: Integrate AI tools and LLM APIs into data pipelines and use AI IDEs to streamline debugging and documentation.
Technical Requirements:
- Experience: 8+ years of core Data Engineering experience in large-scale enterprise or consulting environments.
- Languages: Expert proficiency in SQL and Python for complex data processing.
- Big Data: Hands-on experience with PySpark and large-scale distributed computing.
- Architecture: Strong understanding of ETL frameworks, data pipeline architecture, and data warehousing best practices.
- Cloud Platforms: Deep working knowledge of AWS and Azure.
- Modern Tooling: Proven experience with Databricks, Snowflake, and Apache Airflow.
- Infrastructure: Experience with Terraform or similar IaC tools for scalable deployments.
- AI Competency: Proficiency in using AI IDEs (Cursor/Windsurf) and integrating AI/ML models into production data flows.
Preferred Qualifications:
- Exposure to data governance and cataloging tools (e.g., Unity Catalog).
- Knowledge of performance tuning for massive-scale big data systems.
- Familiarity with real-time data processing frameworks.
- Experience in digital transformation and sustainability-focused data projects.
Role: Sr. Java Developer
Exp: 5-7 Years
CTC: up to 30 LPA
Location: Bangalore
Roles and Responsibilities:
- Requirement Analysis, Design and develop, build and maintain modular widgets, custom
- interfaces and middleware components using technologies mentioned.
- Only candidates with motivation to do hands on development and troubleshooting, are
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Looking candidates from Banking or Payment Domain
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- Designing and building the website front-end.
- Creating the website architecture.
- Designing and managing the website back-end including database and server integration.
- Generating WordPress themes and plugins.
- Conducting website performance tests.
- Troubleshooting content issues.
- Conducting WordPress training with the client.
- Monitoring the performance of the live website.
Eligibility
- Bachelor’s degree in computer science or a similar field.
- Proven work experience as a WordPress developer.
- Knowledge of front-end technologies including CSS3, JavaScript, HTML5, and jQuery.
- Knowledge of code versioning tools including Git, Mercurial, and SVN.
- Experience working with debugging tools such as Chrome Inspector and Firebug.
- Good understanding of website architecture and aesthetics.
- Ability to manage projects.
- Good communication skills.
Java, Java8, Springboot, Microservices, core java, j2ee, JAVA, Springboot
backend, core java, java8, micro services
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- Developing and managing digital prospecting and remarketing campaigns
- Managing budgets and campaigns across all digital channels to drive strong return on investment and efficient CAC
- Ensuring successful planning, execution, optimization for key traffic KPIs via paid, organic & own media channels
- Identifying and testing new channels to continue to meet or exceed established critical metrics
- Working closely with the management to share funnel conversion improvement ideas, feedback & present results
Scope:
|
Research |
Competitor Research |
|
Trends - Voice SEO, Design Aesthetics |
|
|
Tools |
|
|
Website |
A/B Testing |
|
Website + Landing Page + CRO - Back-End - Analysis / Audit |
|
|
Social Media |
Existing Brand - Analysis / Audit |
|
Create Cohorts |
|
|
A/B Testing |
|
|
Optimizations |
Social Media CRM Integration |
|
Optimizing bottlenecks |
|
|
Email Marketing |
Email Marketing Audit + Tools Integration |
|
Email Marketing - Scheduling + Metrics + Optimization |
|
|
Performance Marketing |
Existing Brand - Ad Account Analysis / Audit |
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Create Cohorts |
|
|
Create Platform-Cohort-Specific Funnels |
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Platform-cohort-specific Detailed targeting for each creatives |
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Run Performance Ads |
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Strategize: Open-Ended, Retargeting, Look-Alike, Custom Audiences |
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Strategize: Platforms-specific to the brands |
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A/B testing |
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Ensure client growth |
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Client Interactions: Client Reports + Briefings |
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Upskilling |
Complete Courses |
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Create Concise Course Notes |
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Create SOPs |
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Reporting |
Daily, Weekly, Monthly MIS Report |
• Manage new feature releases while keeping the quality bar high in term of engineering practices
• Manage, Mentor and coach a team of 5-10 frontend engineers while being a hands-on engineer yourself
• Understand current set of the product's UI components and work on extending the same and build more reusable components
• Define & document coding standards & best practices
• Improve processes and technology continuously by showing the team better ways of doing things and help improve skills in the team
• Optimize solution for performance and scalability
• Dive deep into the usage of coding patterns and contribute in curating a library of reusable components that can be used to build more complex and unified Interfaces
• Estimate, Plan, Track and handle multiple priorities in a fast-paced environment
• Write test cases and document UI components
• Ensure code quality by reviewing team members code and mentor others in the frontend team
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• 8+ years of product development experience with expertise in designing and implementing high-performing web applications
• 3+ of experience in leading a team of junior and senior React engineers
• Strong knowledge in React, ES6, TypeScript and HTML/CSS3
• Experience in building React applications using Redux, Flux, webpack, NPM, create-react-app
• Deep understanding of Frontend Performance Optimization aspects - with respect to resource loading strategy, CPU/Memory profiling on the browser
• Experience in testing libraries such as Jest, Enzyme or Mocha
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• Knowledge on Node server, Socket connections and mechanisms to handle real-time async data
• Good knowledge in content serving technologies like HTTP, CDN, proxies and caching
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