11+ Database QA Jobs in Bangalore (Bengaluru) | Database QA Job openings in Bangalore (Bengaluru)

Job Description: 

Exp Range - [6y to 10y]

Qualifications:

• Minimum Bachelors Degree in Engineering or Computer Applications or AI/Data science
• Experience working in product companies/Startups for developing, validating, productionizing AI model in the recent projects in last 3 years.
• Prior experience in Python, Numpy, Scikit, Pandas, ETL/SQL, BI tools in previous roles preferred

Require Skills: 

• Must Have – Direct hands-on experience working in Python for scripting automation analysis and Orchestration
• Must Have – Experience working with ML Libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy etc.
• Must Have – Experience working with models such as Random forest, Kmeans clustering, BERT…
• Should Have – Exposure to querying warehouses and APIs
• Should Have – Experience with writing moderate to complex SQL queries
• Should Have – Experience analyzing and presenting data with BI tools or Excel
• Must Have – Very strong communication skills to work with technical and non technical stakeholders in a global environment

Roles and Responsibilities:

• Work with Business stakeholders, Business Analysts, Data Analysts to understand various data flows and usage.
• Analyse and present insights about the data and processes to Business Stakeholders
• Validate and test appropriate AI/ML models based on the prioritization and insights developed while working with the Business Stakeholders
• Develop and deploy customized models on Production data sets to generate analytical insights and predictions
• Participate in cross functional team meetings and provide estimates of work as well as progress in assigned tasks.
• Highlight risks and challenges to the relevant stakeholders so that work is delivered in a timely manner.
• Share knowledge and best practices with broader teams to make everyone aware and more productive.

Job Description

Department: Information Technology

Location: Bangalore (with travel to other locations as required)

Reporting To: Head – Information Technology / CISO

Experience: 7–8 Years

Employment Type: Full-time

About Connect & Heal

Connect & Heal (CNH) is one of India's leading integrated healthcare organizations, delivering technology-enabled healthcare solutions across primary care, home healthcare, diagnostics, wellness, emergency response, and enterprise healthcare services. We are committed to building secure, scalable, and resilient digital infrastructure to support our rapidly growing healthcare ecosystem.

Position Summary

The IT Security & Network Administrator is responsible for ensuring the confidentiality, integrity, and availability of Connect & Heal's IT infrastructure. The role will manage enterprise network operations, cybersecurity controls, cloud and endpoint security, identity and access management, vulnerability management, and regulatory compliance.

The incumbent will play a key role in strengthening the organization's cyber resilience while supporting business continuity, healthcare operations, and information security initiatives aligned with ISO 27001, ISO 27701, and applicable healthcare data privacy regulations.

Key Responsibilities

Information Security

• Implement and administer enterprise information security controls across all business locations.
• Manage endpoint security, antivirus, EDR/XDR, email security, and Data Loss Prevention (DLP) solutions.
• Monitor and respond to security incidents, alerts, and vulnerabilities.
• Conduct vulnerability assessments, penetration testing coordination, and remediation tracking.
• Support cybersecurity awareness and phishing simulation programs.
• Maintain identity and access management (IAM), including MFA, privileged access, and user lifecycle management.
• Monitor security logs and coordinate incident response with internal and external stakeholders.
• Ensure secure configuration baselines for servers, endpoints, and network devices.

Network Administration

• Administer enterprise LAN, WAN, SD-WAN, VPN, Wi-Fi, firewalls, switches, routers, and internet connectivity.
• Configure and maintain Cisco, Fortinet, Sophos, Palo Alto, or equivalent network security appliances.
• Monitor network performance and proactively resolve connectivity issues.
• Manage network segmentation and secure remote access.
• Maintain network documentation, IP addressing, topology, and disaster recovery configurations.
• Support cloud networking for Azure and AWS environments.

Cloud & Infrastructure Security

• Secure Microsoft 365, Azure AD (Microsoft Entra ID), Exchange Online, and SharePoint environments.
• Implement Conditional Access Policies and Zero Trust principles.
• Support cloud backup and disaster recovery strategies.
• Monitor cloud security posture using Microsoft Defender and related security tools.

Compliance & Governance

• Support ISO 27001, ISO 27701, ISMS, and Privacy Information Management System (PIMS) implementation and audits.
• Ensure compliance with the Digital Personal Data Protection Act, 2023, and healthcare-specific data protection requirements.
• Maintain security documentation, policies, risk registers, and audit evidence.
• Participate in internal and external security audits.

Business Continuity

• Maintain backup schedules and disaster recovery plans.
• Participate in DR drills and business continuity exercises.
• Ensure high availability of critical business systems.

Vendor & Asset Management

• Coordinate with OEMs, ISPs, cloud providers, and security vendors.
• Manage IT security renewals, certificates, licenses, and warranties.
• Maintain inventory of network and security assets.

Monitoring & Reporting

• Generate monthly dashboards on:
• Security incidents
• Vulnerability status
• Endpoint compliance
• Patch compliance
• Firewall health
• Network uptime
• SLA performance
• Present periodic security posture reports to IT leadership.

Technical Skills

Networking

• TCP/IP
• DNS
• DHCP
• VLAN
• VPN
• Routing & Switching
• SD-WAN
• Wi-Fi Administration
• Firewall Management

Security

• Endpoint Detection & Response (EDR/XDR)
• SIEM Monitoring
• Identity & Access Management (IAM)
• MFA
• DLP
• Email Security
• Vulnerability Management
• Patch Management
• Zero Trust Security
• Incident Response

Cloud

• Microsoft Azure
• Microsoft 365 Administration
• Azure AD (Microsoft Entra ID)
• AWS (preferred)

Operating Systems

• Windows Server
• Linux (preferred)
• Active Directory
• Group Policy

Tools

• Microsoft Defender
• Fortinet
• Sophos
• Palo Alto
• Cisco Meraki
• CrowdStrike
• SentinelOne
• Nessus
• Qualys
• SolarWinds
• ManageEngine

Preferred Certifications

• CEH (Certified Ethical Hacker)
• CompTIA Security+
• Cisco CCNA / CCNP
• Microsoft Certified: Azure Administrator Associate
• Microsoft Certified: Security Administrator Associate
• Fortinet NSE
• ISO 27001 Lead Implementer / Internal Auditor
• Certified Information Systems Security Professional (CISSP) (preferred)

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 7–8 years of experience in IT infrastructure, network administration, and information security.
• Experience supporting multi-location enterprise environments.
• Experience in healthcare, HealthTech, SaaS, or regulated industries is preferred.

Key Competencies

Functional

• Network Administration
• Cybersecurity Operations
• Cloud Security
• Infrastructure Management
• IT Compliance
• Risk Assessment
• Incident Response
• Business Continuity

Behavioral

• Analytical thinking
• Attention to detail
• Problem-solving
• Ownership and accountability
• Collaboration
• Customer orientation
• Communication skills
• Continuous learning

Key Performance Indicators (KPIs)

KPITargetNetwork Availability≥ 99.9%Critical Security IncidentsZero unresolved incidentsPatch Compliance≥ 98%Endpoint Security Compliance100%Vulnerability Remediation (Critical)Within 15 daysMFA Adoption100%Backup Success Rate≥ 99%Audit Compliance Score≥ 95%DR Drill Success100%

Success Measures (First 12 Months)

• Achieve 99.9% infrastructure uptime across all locations.
• Strengthen enterprise cybersecurity posture and reduce high-risk vulnerabilities.
• Ensure successful completion of internal and external security audits.
• Improve endpoint compliance and identity security across the organization.
• Implement proactive monitoring and reporting dashboards.
• Enhance cyber awareness and security best practices among employees.

Why Join Connect & Heal?

• Be part of one of India's fastest-growing integrated healthcare organizations.
• Work on enterprise-scale cybersecurity and digital transformation initiatives.
• Contribute to building a secure, technology-enabled healthcare ecosystem.
• Collaborate with cross-functional teams in a mission-driven environment focused on innovation, resilience, and patient trust.

Key Responsibilities:

1. SEO Strategy Development:

○ Design and execute advanced SEO strategies aligned with business goals.

○ Conduct comprehensive keyword research and competitor analysis.

○ Optimize content to improve rankings and drive organic traffic.

2. Technical SEO:

○ Conduct audits to identify and resolve technical SEO issues, such as crawl errors, page load

speed, and mobile usability.

○ Optimize site architecture, schema markup, and internal linking structures.

○ Work with developers to implement technical SEO recommendations.

3. Content Optimization:

○ Collaborate with the content team to produce high-quality, SEO-friendly content.

○ Ensure all content meets search engine guidelines and is optimized for target keywords.

○ Monitor content performance and recommend updates as needed.

4. Performance Monitoring and Reporting:

○ Track and analyze website performance metrics using tools like Google Analytics, Google

Search Console, and SEMrush.

○ Generate detailed reports on SEO performance and present actionable insights.

○ Monitor algorithm changes and adjust strategies accordingly.

5. Link Building & Outreach:

○ Develop and implement effective link-building strategies.

○ Build relationships with industry influencers and relevant websites for collaboration.

6. Stay Updated:

○ Keep abreast of the latest SEO trends, tools, and best practices.

○ Conduct training sessions to update the team on SEO developments.

Qualifications:

● Bachelor’s degree in Marketing, IT, Communications, or related field (preferred).

● Proven experience of 1 year in SEO, with a strong portfolio of successful projects.

● Deep understanding of search engine algorithms, ranking factors, and SEO tools

● Proficiency in technical SEO and content marketing.

● Excellent analytical, problem-solving, and project management skills.

● Strong written and verbal communication skills.

● Ability to work collaboratively with cross-functional teams.

Role: Head of Analytics

Location: Bangalore (Full time)

ABOUT QRATA: 

Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing startups using Qrata’s talent marketplaces. To sign-up, please visit Qrata Talent Sign-Up 

ABOUT THE COMPANY WE ARE HIRING FOR: 

Our client is offering credit card solutions for banks and financial institutions. It provides services like credit card design and onboarding, credit card authorization, payment processing, collections and dispute resolutions, credit card fraud detection, and more. They serve in the B2B space in the FinTech market segments.

POSITION OVERVIEW 

We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modeling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business.

Responsibilities:

1. Develop and implement Analytics Strategy:

o Define the analytics roadmap for the credit card business, aligning it with overall

business objectives.

o Identify key performance indicators (KPIs) and metrics to track the performance

of the credit card business.

o Collaborate with senior management and cross-functional teams to prioritize and

execute analytics initiatives. 2. Lead Data Analysis and Insights:

o Conduct in-depth analysis of credit card data, customer behavior, and market trends to identify opportunities for business growth and risk mitigation.

o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities.

o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies.

o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information.

3. Drive Data Governance and Quality:

o Oversee data governance initiatives, ensuring data accuracy, consistency, and

integrity across relevant systems and platforms.

o Collaborate with IT teams to optimize data collection, integration, and storage

processes to support advanced analytics capabilities.

o Establish and enforce data privacy and security protocols to comply with

regulatory requirements.

4. Team Leadership and Collaboration:

o Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning.

o Provide guidance and mentorship to the team, promoting professional growth and development.

o Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives.

5. Stay Updated on Industry Trends:

o Keep abreast of emerging trends, techniques, and technologies in analytics, credit

card business, and the financial industry.

o Leverage industry best practices to drive innovation and continuous improvement

in analytics methodologies and tools.

Qualifications:

Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field.

Proven experience (7+ years) in leading analytics teams in the credit card industry.

Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques.

Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL.

Experience with analytics tools such as SAS, SPSS, or Tableau.

Excellent leadership and team management skills, with a track record of building and developing high-performing teams.

Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle.

Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience. 

Engineering Manager

Key deliverables

Software Architecture: Ensure implementation of a modular, scalable, secure and robust cloud software framework.

Project Management: Sprint Management for development projects to ensure tracking, planning and agile development and upgrades.

Certifications and Regulatory Approvals: Work with regulatory agencies and consultants to ensure implementation for an acquiring certification and regulatory approvals - FDA, ISO 13485, ISO 27001,

GDPR, HIPAA compliance

Other deliverables

Compliance and Tracking: Tracking key KPIs for cloud software to ensure performance and solve for

any deltas in the expected KPIs.

3rd Party Tech Integration: Work with third parties to ensure smooth integration of our offering in

their system. Establish Dozee as the backend for healthtech.

Associated tasks

Documentation: Industry Standard API documentation, software architecture, specifications and

technical documentation.

QA: Ensure zero down time and correctness of the data and features

Detailed Description

Software Architecture

Brainstorming for software architecture and implementation strategy

Working with developers to ensure swift and smooth development

Project Management:

Sprint Management for development projects

Tracking and planning for project deliverables and releases

Resource planning and utilization

Compliance and Tracking:

Setting up infrastructure to track key metrics for tech.

Ensure compliance with the target KPIs

Solve for any delta in KPIs

3rd Party Tech Integration:

Ensuring smooth and seamless integration for 3rd Parties

Collateral (videos/blogs) to demonstrate API integration in healthtech infra

Regular communication with 3rd parties

Certifications and Regulatory Approvals:

Ensure FDA documentation, clinical trials, submission and approval with the regulatory consultant and our team

ISO-13485 SOP, Documentation and Implementation across all systems in the organization ISO-27001 documentation, gap analysis, solving for deltas and certification

GDPR and HIPAA compliance

Other necessary accreditations and approvals

QA:

Enhance existing QA coverage

Setup automated systems to monitor the health of the production environment

Setup proper reporting for any deltas identified by QA

Required Skills

A proactive nature, high EQ and good interpersonal skills are essentials for this role.

Building, maintaining and managing relationships, negotiation skills, conflict resolution, persuasion skills,

judgement making and critical thinking capabilities will be tested each and every day on this career path.

Additionally a knowledge of the below mentioned skills shall be of great help -

Experience:

Experience in software development and management, especially API development, microservices,

serverless systems and cloud development. (2-4 years)

Excellent verbal and written communication, presentation and leadership skills. Experience with

hiring and managing a team of at least 10 developers.

Attitude and Aptitude:

Demonstrates intelligence, positive attitude and loads of patience

Logical and analytical in approach with problem-solving aptitude

Work with high levels of intellectual rigour

Resilient in withstanding pressure and delivering efficiently

Strong analysis capability and exceptional ability to communicate data and results to a wide range of individuals including senior leadership

Ability to handle multiple tasks and meet multiple deadlines.

Academic:

Bachelors in Engineering (preferred Computer Science and Engineering)

Roles & Responsibilities

- Writing good quality code.

- Be able to design ,implement and deploy scalable backend applications on cloud(AWS/Azure).

- Be able to take ownership of projects and deliver them on time.

- Be able to lead a team and mentor junior developers.

Qualifications:

- BE/BTech degree in CS/IT or similar related field.

- 4+ years experience as backend engineer.

- Good knowledge in Python and at least one of the framework - Django, Flask, FastAPI, etc.

- Hands on experience in building microservices applications on AWS/GCP/Azure.

- Good understanding of platforms(Docker, AWS/Azure).

- Must have good understanding of Data Structures/Algorithms/Databases and other CS concepts.

- Experience working in multiple databases and data modelling.

- Experience writing APIs and related technologies like REST, JSON, websockets, grpc etc.

- Should be inquisitive enough picking up any language and frameworks based on need.

- Should be able to design/implement/deploy end-to-end systems.

- Having good knowledge on deploying cloud applications and with Dockers/Kubernetes is a plus.

- Experience building end-to-end analytics systems is a plus.

The Job
The Architect, Machine Learning and Artificial Intelligence including Computer Vision will grow and lead a team of talented Machine Learning (ML), Computer Vision (CV) and Artificial Intelligence (AI) researchers and engineers to develop innovative machine learning algorithms, scalable ML system, and AI applications for Racetrack. This role will be focused on developing and deploying personalization and recommender system, search, experimentation, audience, and content AI solutions to drive user experience and growth.

The Daily

• Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modelling approaches to support product, engineering, content, and marketing initiatives.
• Build and lead a world-class team of ML and AI scientists and engineers.
• Be a hands-on leader to mentor the team in latest machine learning and deep learning approaches, and to introduce new technologies and processes. Single headedly manage the MVP and PoCs
• Work with ML engineers to design solution architecture and develop scalable machine learning system to accelerate learning cycle.
• Identify data science opportunities that deliver business value.
• Develop ML/AI/CV roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
• Hands on experience in Image processing for auto industry
• BFSI domain knowledge is a plus
• Provide thought leadership to enable ML/AI applications.
• Manage products priorities and ensure timely delivery.
• Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
• Prepare and present ML modelling results and analytical insights that help drive the business to senior leadership.

The Essentials

• 8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
• 4 + years of managing a team of data scientists, ML and AI researchers and engineers
• Strong machine learning, deep learning, and statistical modelling expertise, such as causal inference modelling, ensembles, neural networks, reinforcement learning, NLP, and computer vision
• Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.)
• Proficiency in machine learning and deep learning languages and platforms (Python, R, TensorFlow, Keras, PyTorch, MXNet etc.)
• Experience in deploying machine learning algorithms and advanced modelling solutions
• Experience in developing advanced analytics and ML infrastructure and system
• Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
• Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience
• Works effectively cross functional teams to build trusted partnership
• Working experience in digital media and entertainment industry preferred
• Experience with Agile methodologies preferred