11+ RFQ Jobs in Hyderabad | RFQ Job openings in Hyderabad

Responsibilities:

• Draft proposal portions such as introduction, overview, project approach, and cover letter
• Draft proposal template to hand off to subject matter expert and writing teams
• Develop and execute consistent company identity through document templates, letterhead, and logo usage
• Lead proposal team on RFP, RFQ, award submittals, and roster application responses
• Synthesize proposal materials into final client-ready package
• Maintain proposal milestones schedules like issue and review dates, kickoff meetings, and due dates.
• Engage in proposal sections coordination, final formatting, assembly, packaging, and delivery.
• Ensuring documents are secure and up to company standards
• Facilitating the proposal review process

What you will bring:

• Responsible for coordinating proposals
• Coordinate and maintain team documentation efforts for responses to RFPs
• Analyze requirements and ensure that proposals meet requirements
• Edit and rewrite proposals, including creating templates and boilerplate text
• Draft proposals and communicate across teams to get input and meet deadlines

Roles & Responsibilities

• Design, develop, and deliver scalable end-to-end data pipelines using Azure Data Factory, ensuring robust integration

of enterprise-wide data from diverse sources

• Build and optimize data engineering workflows using Databricks and PySpark

• Write efficient, high-performance SQL for data transformation and analysis

• Work with the Azure Cloud platform and associated services, applying strong understanding of data warehousing,

data models, and pipelines

• Provide technical leadership to a team of developers, including code reviews and enforcing best practices across the

development lifecycle

• Oversee CI/CD implementation using Azure DevOps, managing deployments across development, QA, and production

environments with proper change control processes

• Collaborate with cross-functional teams to translate business requirements into scalable data solutions

• Ensure data quality, reliability, and performance across all pipelines and platforms

Ideal Candidate

1Strong Azure Databricks Engineer / Senior Data Engineer Profile

2Mandatory (Experience 1) – Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.

3Mandatory (Experience 2) – Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.

4Mandatory (Experience 3) – Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.

5Mandatory (Experience 4) – Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.

6Mandatory (Experience 5) – Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.

7Mandatory (Experience 6) – Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.

8Mandatory (Experience 7) – Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.

9Mandatory (Notice Period) – Immediate joiners or candidates who can join within 15 days.

10Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

Role & Responsibilities

drives large-scale data modernization and AI readiness for global enterprises. We are looking for an experienced Data Modeler to design, standardize, and maintain enterprise data models across our modernization initiatives — ensuring consistency, quality, and business alignment across cloud data platforms.

The person will be responsible for translating business requirements and data flows into robust conceptual, logical, and physical data models across multiple domains (Customer, Product, Finance, Supply Chain, etc.). You will work closely with Data Architects, Engineers, and Governance teams to ensure data is structured, traceable, and optimized for analytics and interoperability across platforms like Snowflake, Dremio, and Databricks.

Key Responsibilities-

• Develop conceptual, logical, and physical data models aligned with enterprise architecture standards.
• Engage with Business Stakeholders: Collaborate with business teams, business analysts and SMEs to understand business processes, data lifecycles, and key metrics that drive value and outcomes.
• Value Chain Understanding: Analyze end-to-end customer and product value chains to identify critical data entities, relationships, and dependencies that should be represented in the data model.
• Conceptual and Logical Modeling: Translate business concepts and data requirements into conceptual and logical data models that capture enterprise semantics and support analytical and operational needs.
• Physical Data Modeling: Design and implement physical data models optimized for performance and scalability
• Semantic Layer Design: Create semantic models that enable business access to data via BI tools and data discovery platforms.
• Data Standards and Governance: Ensure models comply with enterprise data standards, naming conventions, lineage tracking, and governance practices.
• Implement naming conventions, data standards, and metadata definitions across all models.
• Collaboration with Data Engineering: Work closely with data engineers to align data pipelines with the logical and physical models, ensuring consistency and accuracy from ingestion to consumption.
• Manage version control, lineage tracking, and change documentation for models.
• Participate in data quality and governance initiatives to ensure trusted and consistent data definitions across domains.
• Create and maintain a business glossary in collaboration with the governance team.

Ideal Candidate

• Strong Enterprise Data Modeller profile (Modern Data Platforms)
• Mandatory (Experience 1) – Must have 7+ years of experience in Data Modeling or Enterprise Data Architecture, with strong hands-on expertise in designing conceptual, logical, and physical data models for enterprise data platforms
• Mandatory (Experience 2) – Must have Strong hands-on experience with enterprise data modeling tools such as Erwin, ER/Studio, PowerDesigner, SQLDBM, or similar enterprise data modeling tools
• Mandatory (Experience 3) – Must have Deep understanding of dimensional modeling (Kimball / Inmon methodologies), normalization techniques, and schema design for modern data warehouse environments.
• Mandatory (Experience 4) – Proven experience designing data models for modern data platforms such as Snowflake, Databricks, Redshift, Dremio, or similar cloud data warehouse / lakehouse systems.
• Mandatory (Experience 5) – Must have strong SQL expertise and schema design skills, with the ability to validate data model implementations and collaborate closely with data engineering teams
• Mandatory (Education) – Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.
• Preferred (Experience 1) – Should have familiarity with data governance, metadata management, lineage, and business glossary tools such as Collibra, Alation, or Microsoft Purview.
• Preferred (Experience 2) – Exposure to data integration pipelines and ETL frameworks such as Informatica, DBT, Airflow, or similar tools.
• Preferred (Data Management) – Understanding of master data management (MDM) and reference data management principles.
• Preferred (Domain) – Experience working with high-tech or manufacturing data domains, including customer, product, or supply chain data models

A GCP BigQuery professional designs develops and optimizes largescale data warehouses ELT ETL pipelines and SQL scripts within Google Cloud Responsibilities include managing data ingestion PubSub Dataflow optimizing performance and cost and implementing securitygovernance Key skills include SQL Python Apache Airflow and Data modeling

Key Responsibilities

• Data Architecture Modeling Design and optimize BigQuery data models schemas and storage for performance and costefficiency
• Pipeline Development ETLELT Build scalable data pipelines and workflows using tools like Cloud Composer Airflow Dataflow and Dataproc
• Query Optimization Write complex SQL scripts and tune performance to minimize BigQuery slot usage
• Data Integration Ingest transform and manage data from diverse sources into BigQuery
• Governance Security Implement data security access controls and best practices

Required Skills Qualifications

• Core Technical Proficiency in GoogleSQL Python and Google Cloud Platform GCP services BigQuery Cloud Storage Dataflow
• Data Processing Experience with Apache Spark Beam or Hadoop
• Database Knowledge Strong understanding of relational RDBMS and NoSQL databases

Job Summary

We are looking for enthusiastic and motivated freshers to join our Sales & Marketing team. The candidate will be responsible for supporting sales activities, generating leads, maintaining client relationships, and assisting in marketing campaigns to promote the company’s services.

KEY RESPONSIBILITIES

• Generate qualified leads through Email, LinkedIn, and Phone outreach
• Engage with enterprise decision makers across global markets
• Conduct outbound prospecting and appointment setting
• Build and manage prospect databases using sales tools and CRM platforms
• Coordinate with Business Development and Delivery teams
• Execute multi-channel outreach campaigns aligned to target industries and personas
• Follow up with prospects and nurture opportunities through the sales pipeline

REQUIRED SKILLS

• Excellent verbal and written English communication skills
• Ability to communicate effectively with international clients across US, Europe, ME & EMEA regions
• Experience in IT Services / Technology sales preferred
• Strong LinkedIn outreach and email drafting skills
• Comfortable with cold calling and outbound prospecting
• Familiarity with tools such as Apollo.io, LinkedIn Sales Navigator, CRM platforms, etc.
• Flexible to work across different time zones and business regions

PREFERRED PROFILE

• Self-driven and target-oriented
• Strong interpersonal and relationship-building skills
• Ability to adapt to global client communication styles
• Team player with professional business etiquette

QUALIFICATION

• MBA / Graduates in Marketing preferred
• Freshers and graduates with strong communication skills are encouraged to apply
• Internship opportunities available for MBA Marketing students and candidates seeking exposure in international IT sales and business development
• Candidates should be comfortable communicating with international clients across US, Europe, ME & EMEA regions

QA Automation with Cypress

PRIMARY PURPOSE

An automation engineer delivers automated solutions for software processes. As an automation engineer, the individual will work closely with development and product teams to help discover and eliminate problems by gathering requirements and implementing process automation. Sometimes this will include software, but other times you might be asked to automate service or business processes.

An automation engineer is responsible for the following

· Identify opportunities for automation within software processes.

· Plan, create and manage the overall quality planning strategy.

· Design and execute QA tests using scripts that automatically test functionality.

· Run tests for databases, systems, networks, applications and software.

· Identify bugs and quality issues in development, service or business processes.

· Install applications and databases relevant to automation.

· Collaborate with development/product teams to understand how automation can improve workflow.

· Gather requirements from clients, customers or end-users to develop the best automation solutions. A detailed understanding of modern SDLC frameworks is required as is the ability to work in an Agile environment.  

  Experience

 · 5+ years’ of relevant experience

· Proven track record in a software quality assurance role.

· Demonstrable strong software test automation experience at unit, integration and system level.

· Experience with automated testing tools, BDD, end-user testing.

· Experience with leading test plan design and strategy.

· Experience working in Agile process and result-oriented culture.

· Strong experience working on Linux-based systems.

· Experience within CI/CD, DevOps and TDD based environments;

 Required Skills

· Solid experience with test automation scripting and tools PHP Unit, Jest, Selenium, Postman, Mocha, Chrome Driver, Cypress

· HTML5, CSS, JavaScript

· Strong SQL, MySQL, knowledge.

· JIRA product suite, Git/Bitbucket, Confluence.

· Experience working on Linux-based systems.

· Experience with private cloud as well as public clouds such as including Amazon AWS, Microsoft Azure and Google Cloud Platform

· Experience with Amazon AWS, EC2, S3, ACL, EC2, Route53, CloudWatch, security/ ACL

· Mobile development experience

· Any exposure to PHP frameworks Laravel, Zend, Symfony will be a value add.

· Interest or exposure to Blockchain technology is beneficial.

 · Keen eye for detail and a commitment to excellence.

· Be willing to help your teammates, share your knowledge with them, and learn from them.

· Be open to receiving constructive feedback and turning it into process improvements.

· Creativity, motivation and strong communication.

· Effective time management skills for handling multiple tasks as per business priorities and goals.

· Superior written and oral communication skills.

· Superior interpersonal skills, with a focus on rapport-building, listening, and questioning skills.

· Strong documentation skills. Technical Skills

Job Overview: We are seeking a dedicated Senior Statistical Programmer to join our dynamic team. You will be responsible for the development, quality control, and documentation of statistical (SAS) programming deliverables for clinical research studies.

Key Responsibilities:

1.      Lead and oversee the development of SAS programs for the management and statistical analysis of clinical trial data.

2.      Develop, test, and validate statistical tables, listings, and graphs (TLGs) in support of the statistical analysis plan.

3.      Support the generation and review of protocols, data management plans, study reports, and other regulatory documents.

4.      Provide input to the statistical analysis plan, table shells, data integration plans, and mock-ups.

5.      Ensure data quality by designing and validating key data checks and listings.

6.      Develop specifications for derived datasets and perform data transformation as necessary.

7.      Collaborate effectively with data management and biostatistics teams, clinicians, and other project stakeholders.

8.      Guide junior programmers and provide mentoring as needed.

9.      Keep abreast of new developments in SAS programming and clinical research, and act as a subject matter expert for the team.

Required Qualifications and Skills:

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

2.      Minimum of 3 plus years of statistical programming experience in the pharmaceutical, biotech, or CRO industry.

3.      Excellent SAS programming skills and proficiency in SAS/Base, SAS/Macro, SAS/Graph, and SAS/STAT.

4.      Familiarity with CDISC SDTM and ADaM data standards.

5.      In-depth understanding of clinical trial data and extremely complex statistical methods.

6.      Excellent problem-solving skills and a proactive approach to identifying and resolving issues.

7.      Strong written and verbal communication skills, with the ability to translate complex data into understandable results.

8.      Proficiency in English, with excellent written and verbal communication skills.

9.      Prior experience leading teams or projects is highly desirable.

Preferred Skills:

1.      Experience in oncology, immunology, respiratory, infectious diseases, or neurosciences is a plus.

2.      Knowledge of other statistical software such as R or Python is a plus.

3.      Knowledge of regulatory guidelines (FDA/EMA/ICH) is preferred.

Our client is India’s first Genomic Medicine Clinic. Their treatment is based on an emerging medical discipline that involves using genomic information such as DNA to diagnose and develop a holistic wellness program. Their innovative DNA-based treatment has proven highly useful in treating hereditary disease such as diabetes, high Blood Pressure, heart conditions, premature ageing, cognitive decline, and hormonal imbalances including thyroid disorders, fibromyalgia.

Founded in 2019 by a doctor duo specialising in Genomic medicine from Harvard and Stanford Universities, the clinic apart from providing personalized treatment focuses on disease prevention through early detection and lifestyle management.

• Planning and overseeing new marketing initiatives
• Researching organizations and individuals to find new opportunities
• Finding and developing new markets and improving sales
• Developing proposals for diagnostic centers, hospitals and individual doctors
• Working closely with the Head of Marketing to support programs and initiatives at clinics with specific focus on adding value in the long term

What you need to have:

• Must have at least 2 - 3 years of prior experience in marketing, business development, human resources
• Experience working for a start up or the healthcare industry in any capacity will be a plus
• Excellent written and oral communication skills
• Ability to comfortably represent the company at conferences, corporate health checkup drives and specific healthcare events
• Proficiency in technology tools
• Ability to contribute individually
• Ability to maintain client relations