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Role Overview

We are seeking a hands-on Database Engineer with a "reliability mindset" to own the stability, performance, and scalability of our mission-critical data layer. You will manage high-velocity data stores in a dynamic e-commerce environment, focusing on Aerospike, Cassandra, or Redis. The ideal candidate combines deep database internals knowledge with strong automation skills (Python/Shell) to minimize toil and ensure 99.99%+ uptime.

Key Responsibilities

• Database Operations: Manage the full lifecycle of NoSQL clusters (Aerospike, Cassandra, Redis), including provisioning, upgrades, patching, and capacity planning.
• Reliability & Uptime: Maintain extremely high availability. Design and execute Disaster Recovery (DR) drills, manage cross-region replication, and ensure robust backup/restoration mechanisms are in place.
• Performance Tuning: Proactively monitor database performance. Troubleshoot and resolve complex functional and latency issues in a high-throughput environment.
• Automation & Tooling: Write production-grade Python scripts and Shell automation to handle routine tasks, database migrations, and monitoring alerts.
• Cloud & Infrastructure: Manage cloud infrastructure (AWS/GCP/Azure) and lead migrations across cloud providers or regions. Write and maintain detailed runbooks and Infrastructure-as-Code (IaC) configurations.
• Production Discipline: Execute production changes with strict adherence to change management protocols to zero-out downtime risks.

Required Qualifications

• Experience: 3–7 years of relevant experience in Database Engineering or Site Reliability Engineering (SRE).
• Core Tech Stack: Deep hands-on production experience with at least two of the following: Aerospike, Cassandra, or Redis.
• Scripting: Proficiency in Python and Shell/Bash scripting for automation and tool building.
• Cloud Native: Solid experience with cloud infrastructure (AWS, GCP, or Azure) and experience migrating databases between clouds or hybrid environments.
• Operational Excellence: Proven track record of maintaining high uptime (HA) systems, managing DR strategies, and writing comprehensive runbooks.

Preferred Qualifications

• Industry Background: Previous experience in E-commerce, Fintech, or similar high-traffic, low-latency industries.
• Methodology: Experience working in Agile/Scrum environments.
• Tooling: Familiarity with monitoring tools (Prometheus, Grafana, Datadog) and Configuration Management (Ansible, Terraform).

Why Join Us?

• Work on massive scale data problems.
• Competitive compensation and benefits.

About the Role

We are looking for a QA Engineer with a strong focus on manual and automated testing across Frontend, Backend (API), and Android applications. You will be responsible for ensuring the quality, stability, and performance of our products before they reach end users.

The ideal candidate should be detail-oriented, proactive, and able to pick up work from Day 0 in a fast-paced startup environment.

Key Responsibilities

• Design and execute manual test cases for web (frontend), backend (API), and mobile (Android) applications
• Develop and maintain automation test scripts to improve regression testing coverage
• Perform functional, regression, integration, and performance testing
• Validate API endpoints using tools like Postman (manual) and frameworks like Newman, Jest, or Mocha (automation)
• Conduct Android application testing across devices and OS versions
• Log detailed bugs/issues in tracking tools (JIRA, etc.) with proper reproducible steps
• Collaborate closely with developers, product managers, and designers to identify edge cases and ensure smooth releases
• Ensure adherence to best practices in testing, documentation, and QA processes

Required Skills & Qualifications

• Strong knowledge of manual testing methodologies for Web, APIs, and Mobile
• Experience in test automation using frameworks like Selenium, Playwright, Cypress, or Appium
• Hands-on experience testing REST APIs (manual + automated)
• Familiarity with Git/GitHub for maintaining test scripts
• Good understanding of test planning, test case design, and defect reporting
• Strong analytical and problem-solving skills with attention to detail
• Ability to work independently and handle ownership of tasks

Preferred Skills

• Prior internship/full-time experience in a startup environment
• Familiarity with CI/CD integration of automated tests
• Exposure to performance/load testing tools like JMeter or Locust
• Knowledge of Android Studio, adb commands, and real device testing
• Basic scripting knowledge in JavaScript, TypeScript, or Python for writing automation tests

Eligibility Criteria

• Experience: 0 – 2 years (Freshers with strong projects/automation experience welcome)
• Education: Tier 2 / Tier 3 college graduates preferred
• GitHub Requirement: Must have a solid GitHub profile with test automation scripts or deployed projects. Blank repositories will be rejected

Selection Process

1. Written Test – QA fundamentals, test case writing, scenario-based questions
2. Sample Task – Automation script or test plan for a given application
3. Technical Interview (Basic, 30 min) – Manual testing concepts, bug reporting, API testing
4. Advanced Technical Interview (90 min) – Automation frameworks, debugging, performance testing
5. HR Round – Culture fit and final discussion

Why Join Us?

• Be part of a fast-paced startup where quality matters from Day 0
• Hands-on exposure to testing across multiple platforms (Web, API, Android)
• Opportunity to set up and grow the QA function with ownership and autonomy
• Learn and work with a modern tech stack alongside passionate engineers

Enterprise Data Architect - Dataeconomy (25+ Years Experience)

About Dataeconomy:

Dataeconomy is a rapidly growing company at the forefront of Information Technology. We are driven by data and committed to using it to make better decisions, improve our products, and deliver exceptional value to our customers.

Job Summary:

Dataeconomy seeks a seasoned and strategic Enterprise Data Architect to lead the company's data transformation journey. With 25+ years of experience in data architecture and leadership, you will be pivotal in shaping our data infrastructure, governance, and culture. You will leverage your extensive expertise to build a foundation for future growth and innovation, ensuring our data assets are aligned with business objectives and drive measurable value.

Responsibilities:

Strategic Vision and Leadership:

Lead the creation and execution of a long-term data strategy aligned with the company's overall vision and goals.

Champion a data-driven culture across the organization, fostering cross-functional collaboration and data literacy.

Advise senior leadership on strategic data initiatives and their impact on business performance.

Architecture and Modernization:

Evaluate and modernize the existing data architecture, recommending and implementing innovative solutions.

Design and implement a scalable data lake/warehouse architecture for future growth.

Advocate for and adopt cutting-edge data technologies and best practices.

ETL Tool Experience (8+ years):

Extensive experience in designing, developing, and implementing ETL (Extract, Transform, Load) processes using industry-standard tools such as Informatica PowerCenter, IBM DataStage, Microsoft SSIS, or open-source options like Apache Airflow.

Proven ability to build and maintain complex data pipelines that integrate data from diverse sources, transform it into usable formats, and load it into target systems.

Deep understanding of data quality and cleansing techniques to ensure the accuracy and consistency of data across the organization.

Data Governance and Quality:

Establish and enforce a comprehensive data governance framework ensuring data integrity, consistency, and security.

Develop and implement data quality standards and processes for continuous data improvement.

Oversee the implementation of master data management and data lineage initiatives.

Collaboration and Mentorship:

Mentor and guide data teams, including architects, engineers, and analysts, on data architecture principles and best practices.

Foster a collaborative environment where data insights are readily shared and acted upon across the organization.

Build strong relationships with business stakeholders to understand and translate their data needs into actionable solutions.

Qualifications:

Education: master’s degree in computer science, Information Systems, or related field; Ph.D. preferred.

Experience: 25+ years of experience in data architecture and design, with 10+ years in a leadership role.

Technical Skills:

Deep understanding of TOGAF, AWS, MDM, EDW, Hadoop ecosystem (MapReduce, Hive, HBase, Pig, Flume, Scoop), cloud data platforms (Azure Synapse, Google Big Query), modern data pipelines, streaming analytics, data governance frameworks.

Proficiency in programming languages (Java, Python, SQL), scripting languages (Bash, Python), data modelling tools (ER diagramming software), and BI tools.

Extensive expertise in ETL tools (Informatica PowerCenter, IBM DataStage, Microsoft SSIS, Apache Airflow)

Familiarity with emerging data technologies (AI/ML, blockchain), data security and compliance frameworks.

Soft Skills:

Outstanding communication, collaboration, and leadership skills.

Strategic thinking and problem-solving abilities with a focus on delivering impactful solutions.

Strong analytical and critical thinking skills.

Ability to influence and inspire teams to achieve goals.

Prismforce (www.prismforce.com) is a US Head quartered vertical SAAS product company , with development teams in India. We are Series-A funded venture , backed by Tier 1 VC and targeted towards tech/IT services industry and tech talent organizations in enterprises, solving their most critical sector specific problems in Talent Supply Chain. The product suite is powered by artificial intelligence designed to accelerate business impact e.g. improved profitability and agility , by digitizing core vertical workflows underserved by custom applications and typical ERP offerings.

We are looking for Data Scientists to build data products to be the core of SAAS company disrupting the Skill market.In this role you should be highly analytical with a keen understanding of Data, Machine Learning, Deep Learning, Analysis, Algorithms, Products, Maths, and Statistics. The hands-on individual would be playing multiple roles of being a Data Scientist , Data Engineer , Data Analysts , Efficient Coder and above all Problem Solver.

Location: Mumbai / Bangalore / Pune / Kolkata

Responsibilities:

• Identify relevant data sources - a combination of data sources to make it useful.
• Build the automation of the collection processes.
• Pre-processing of structured and unstructured data.
• Handle large amounts of information to create the input to analytical Models.
• Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
• Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
• Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
• Participate in Problem solving sessions

Requirements:

• Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
• Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
• Strong math skills (e.g. statistics , algebra)
• Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
• Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
• Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com

Ø Responsibilities

·                 Investigating user experience design requirements for our suite of digital assets.

·                 Developing and conceptualizing a comprehensive UI/UX design strategy for the brand.

·                 Producing high-quality UX design solutions through wireframes, visual and graphic designs, flow diagrams, storyboards, site maps, and prototypes.

·                 Designing UI elements and tools such as navigation menus, search boxes, tabs, and widgets for our digital assets.

·                 Testing UI elements such as CTAs, banners, page layouts, page designs, page flows, and target links for landing pages.

·                 Providing advice and guidance on the implementation of UX research methodologies and testing activities in order to analyze and predict user behavior.

·                 Adhering to style standards on typography and graphic design.

Ø Requirements

·        Degree in UI/UX design experience for digital products or services.

·        A portfolio of professional UI/UX design work for both web and mobile platforms.

·        Working knowledge of the following technologies and software: Sketch, InVision, Visio, HTML, CSS (SCSS), iOS, Android, Design Systems, and Adobe Creative Suite.

·        A team player but can work independently too.

·        Excellent written and verbal communication skills.

Roles and Responsibility: 

∙ Develop functional and fast-responsive web applications, using markup languages. ∙ Maintain websites. 

∙ Elaborate mobile-based and web-based features. 

∙ Troubleshoot apps for bugs. 

∙ Fix bugs if necessary and improve usability. 

∙ Improve apps for maximum speed. 

∙ Troubleshoot UI and improve its performance accordingly. 

∙ Employ the latest technology in order to re-built legacy apps. 

∙ Integrate UI elements with server-side ones. 

∙ Detect and fulfill front-end and back-end requirements. 

∙ Perform training and support activities. 

∙ Develop reusable code. 

∙ Write comprehensive manuals, guides, and documents. 

∙ Compile prototype and quality mockups. 

∙ Make sure that high-quality graphic standards are met.