QA Engineer (Android App Automation Testing) with BA Experience

Qualification : ITI/Diploma/B.E

Experience : 0-5 Yrs 

Gender : Male

Location-Bhiwandi

Job Description & Skill Required

1. Preparing daily/weekly/monthly production schedules Line balancing and capacity planning
2. Understanding of routing & process flow Cycle time, takt time, OEE knowledge Monitoring daily production vs plan Strong communication & follow-up Team coordination

Review Criteria

• Strong Product Manager Profiles
• 7+ years of product management experience, of which 2+ years in healthcare, pharmaceutical, life sciences, or AdTech domains
• Must have built or scaled products involving Data Science, Machine Learning, or AI
• Must have experience working end-to-end on product lifecycle — strategy, roadmap, development execution, stakeholder alignment, user research, product optimization, and adoption (0 to 1 product experience is preferred)
• Hands-on experience collaborating with engineering, data science, design, supply teams, and demand-side teams on parallel product initiatives
• Must have a strong understanding of demand-side and supply-side mechanisms, programmatic advertising, data intelligence products, or marketplace platforms
• Experience in companies serving Healthcare Professionals (HCPs), Pharma, Life Sciences, or HealthTech advertising is a must
• Top/Well known Product companies (preferably in HealthTech)
• CTC includes 20% variable
• HealthTech exposure is a must (current or past experience)
• Its an IC role

Preferred

• Experience working on AI-driven features such as predictive models, segmentation, personalization, or automated optimization

Job Specific Criteria

• CV Attachment is mandatory
• What is your preferred location — Noida or Mumbai?
• If you’re based in Mumbai, are you comfortable traveling to the Noida office for one week each month?
• Are you available for an in-person interview for one of the rounds?
• Which HealthTech company(ies) you have worked for?

Role & Responsibilities

We are seeking a visionary and technically savvy Principal Product Manager to lead the strategy, development, and growth of our Identity Resolution products, including the HCP Graph, probabilistic and deterministic identity solutions, and data partner integrations. This role sits at the intersection of data, product, and healthcare advertising, giving you the opportunity to shape how company identifies, unifies, and activates HCP audiences across the ecosystem. You will define the future of identity in healthcare marketing and play a pivotal role in building products that maximize both privacy compliance and advertiser ROI.

Key Responsibilities-

Product Strategy & Vision:

• Define and evangelize the vision for company's identity resolution products and HCP data graph.
• Build a product roadmap that balances technical innovation, market differentiation, and business impact.
• Conduct competitive research and explore emerging identity technologies to ensure company remains at the cutting edge of HCP data solutions.

Product Development & Execution:

• Lead end-to-end product lifecycle: ideation, requirement definition, development, launch, and iteration.
• Collaborate with engineering and data science teams to design scalable identity solutions leveraging first-party, third-party, and probabilistic signals.
• Author high-quality PRDs, user stories, and acceptance criteria, ensuring clarity for cross-functional teams.
• Drive integration strategy with data partners, DSPs, and other activation channels to expand company's reach and addressability.

Data & Privacy Expertise:

• Develop solutions that unify HCP identities across platforms while maintaining strict compliance with privacy regulations like HIPAA, GDPR, CCPA, and industry-specific rules.
• Ensure high identity match rates, data quality, and robust governance frameworks.
• Explore advanced techniques such as probabilistic linking, email-based resolution, and graph modeling to continuously improve audience unification.

User Experience & Enablement:

• Collaborate with UX designers to simplify complex workflows for internal teams and clients managing HCP audiences.
• Provide clear product documentation, training, and enablement materials to maximize adoption.

Performance & Optimization:

• Define metrics for success (match rate, segment addressability, HCP coverage, platform adoption) and continuously optimize solutions.
• Use data-driven insights to iterate on products, identify gaps, and enhance identity resolution accuracy and reliability.

Ideal Candidate

• Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field.

Experience:

• 7+ years in product management, with significant experience owning data-centric products, preferably identity resolution, CDPs, DMPs, or large-scale data systems in AdTech/MarTech.
• Proven track record in data integration, audience unification, or identity resolution products.

Skills & Expertise:

• Strong knowledge of identity systems: deterministic and probabilistic matching, identity graphs, email-based resolution, hashed identifiers, device IDs, and consent management.
• Deep understanding of healthcare and HCP data ecosystems is a plus.
• Ability to translate complex technical solutions into clear product strategy and business impact.
• Exceptional stakeholder management, communication, and leadership skills.
• Strong analytical mindset with experience in SQL, data modeling, or analytics.
• Comfort operating in a fast-paced, high-growth environment and leading cross-functional initiatives.

Nice-to-Haves:

• Hands-on experience with machine learning for audience modeling or lookalike targeting.
• Familiarity with privacy-enhancing technologies, clean rooms, and data encryption.
• Experience building and scaling HCP identity graphs or multi-source data unification platforms.

Strong sales executive profile

Mandatory (Experience 1): Must have 3+ years of hands-on B2B SaaS sales experience, preferably selling subscription-based products or platforms

Mandatory (Experience 2): Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure

Mandatory (Experience 3): Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.

Mandatory (Experience 4): Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders

Mandatory (Experience 5): Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.

Mandatory Experience (6): Prior experience working in the Rewards, Loyalty, or Incentives space.

Mandatory (Company): B2B SaaS Product companies

Language Requirement: Tamil language proficiency is mandatory.

Mandatory(Exclusion) : Profiles with Only EdTech background will not be considered.Preferred (Consultative Selling): Strong listening skills with the ability to understand client business challenges and position SaaS solutions accordingly.

Senior Data Engineer Job Description

Overview

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and

infrastructure to support data-driven decision-making and advanced analytics. This role requires deep

expertise in data engineering, strong problem-solving skills, and the ability to collaborate with

cross-functional teams to deliver robust data solutions.

Key Responsibilities

Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data

pipelines to ingest, process, and transform large volumes of structured and unstructured data.

Data Architecture: Architect and maintain data storage solutions, including data lakes, data

warehouses, and databases, ensuring performance, scalability, and cost-efficiency.

Data Integration: Integrate data from diverse sources, including APIs, third-party systems,

and streaming platforms, ensuring data quality and consistency.

Performance Optimization: Monitor and optimize data systems for performance, scalability,

and cost, implementing best practices for partitioning, indexing, and caching.

Collaboration: Work closely with data scientists, analysts, and software engineers to

understand data needs and deliver solutions that enable advanced analytics, machine

learning, and reporting.

Data Governance: Implement data governance policies, ensuring compliance with data

security, privacy regulations (e.g., GDPR, CCPA), and internal standards.

Automation: Develop automated processes for data ingestion, transformation, and validation

to improve efficiency and reduce manual intervention.

Mentorship: Guide and mentor junior data engineers, fostering a culture of technical

excellence and continuous learning.

Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high

availability and reliability of data systems.

Required Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,

or a related field.

Experience: 5+ years of experience in data engineering or a related role, with a proven track

record of building scalable data pipelines and infrastructure.

Technical Skills:

Proficiency in programming languages such as Python, Java, or Scala.

Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).

Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services

(e.g., Redshift, BigQuery, Snowflake).

Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and

data integration frameworks.

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed

systems.

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a

plus.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,

Google Professional Data Engineer) or relevant data engineering certifications.

Preferred Qualifica

Experience with real-time data processing and streaming architectures.

Familiarity with machine learning pipelines and MLOps practices.

Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data

pipelines.

Experience in industries with high data complexity, such as finance, healthcare, or

e-commerce.

Work Environment

Location: Hybrid/Remote/On-site (depending on company policy).

Team: Collaborative, cross-functional team environment with data scientists, analysts, and

business stakeholders.

Hours: Full-time, with occasional on-call responsibilities for critical data systems.

Job Details

• Job Title: Customer Sales Engineer
• Department: Sales
• Employment Type: Permanent
• Location of Posting: Ahmedabad

Experience & Eligibility

• Experience Required: 1–2 years
• Freshers: Yes, freshers are welcome to apply

Educational Qualifications

• Graduation: B.E. (Mechanical) or Diploma in Mechanical Engineering
• Post-Graduation: Not required
• Special Courses: Not required

Key Responsibilities

• Lead generation and follow-up with potential customers
• Building and maintaining strong customer relationships
• Providing technical support and product-related guidance to customers
• Preparing sales reports and maintaining records
• Coordinating with internal teams to ensure customer satisfaction

Skills & Competencies

• Strong communication skills (very important)
• Languages Known: Gujarati, Hindi, English (fluency not mandatory)
• Learning-oriented mindset
• Team player with a positive attitude
• Good problem-solving ability

Skills Required -

• No handholding
• Logical thinking (scenario)
• API testing (POSTMAN)
• Database SQL (think of null & able to write join query)
• Why & when regression and different types of testing
• Able to write test case
• Web testing