Gramener

Work Location: Hyderabad/Bangalore/Chennai/Noida/Mumbai What Gramener offers you Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career path, steady growth prospects with great scope to innovate. Our goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use. Roles and Responsibilities You’ll architect and build a platform that helps thousands of developers tell data stories! Gramex, our flagship micro services-based low code applications platform, builds custom data applications at supersonic speed. We are looking for a technical architect to build domain-specific new solutions and products leveraging the power of Gramex. You Will Architect and design new solutions and products for multiple domains.Design components that extract insights automatically from data.Create components that automate storytelling – visual & narrative.Solve real-world architectural challenges covering the entire data-to-deploy cycle.Mentor teams across the organization.Demonstrate the solutions/product capabilities to clients. Skills And Qualifications Proven experience as a Python Developer with at least 4 years in a technical leadership role.Strong background in software architecture and experience with large-scale, complex systems.Proficiency in Python programming, and knowledge of advanced concepts like multithreading, async programming, and design patterns.Hands-on experience with web frameworks such as Django, Flask, or FastAPI.Expertise in microservices architecture, cloud platforms (AWS, GCP, Azure), and containerization tools like Docker and Kubernetes.Familiarity with CI/CD pipelines, testing frameworks, and Agile development practices.Strong knowledge of databases (SQL and NoSQL) and experience designing data models and working with ORM (e.g., SQLAlchemy).Solid understanding of system design, network protocols, and APIs (REST, GraphQL).Experience with DevOps tools and automation frameworks.Familiarity with security best practices and ensuring the safety and privacy of sensitive data. About Us We help consult and deliver solutions to organizations where data acts as the core of decision making. We undertake strategic data consulting for organizations in laying out the roadmap for data-driven decision making. It helps organizations to convert data into a strategic differentiator. Through a host of our product and Solutions, and Service Offerings, we analyze and visualize large amounts of data. To know more about us visit Gramener Website and Gramener Blog. Apply for this role Apply for this Role

Where: Hyderabad/ Bengaluru, India (Hybrid Mode 3 Days/Week in Office) Job Description Collaborate with stakeholders to develop a data strategy that meets enterprise needs and industry requirements. Create an inventory of the data necessary to build and implement a data architecture. Envision data pipelines and how data will flow through the data landscape. Evaluate current data management technologies and what additional tools are needed. Determine upgrades and improvements to current data architectures. Design, document, build and implement database architectures and applications. Should have hands-on experience in building high scale OLAP systems. Build data models for database structures, analytics, and use cases. Develop and enforce database development standards with solid DB/ Query optimizations capabilities. Integrate new systems and functions like security, performance, scalability, governance, reliability, and data recovery. Research new opportunities and create methods to acquire data. Develop measures that ensure data accuracy, integrity, and accessibility. Continually monitor, refine, and report data management system performance. Required Qualifications And Skillset Extensive knowledge of Azure, GCP clouds, and DataOps Data Eco-System (super strong in one of the two clouds and satisfactory in the other one) Hands-on expertise in systems like Snowflake, Synapse, SQL DW, BigQuery, and Cosmos DB. (Expertise in any 3 is a must) Azure Data Factory, Dataiku, Fivetran, Google Cloud Dataflow (Any 2) Hands-on experience in working with services/technologies like - Apache Airflow, Cloud Composer, Oozie, Azure Data Factory, and Cloud Data Fusion (Expertise in any 2 is required) Well-versed with Data services, integration, ingestion, ELT/ETL, Data Governance, Security, and Meta-driven Development. Expertise in RDBMS (relational database management system) – writing complex SQL logic, DB/Query optimization, Data Modelling, and managing high data volume for mission-critical applications. Strong grip on programming using Python and PySpark. Clear understanding of data best practices prevailing in the industry. Preference to candidates having Azure or GCP architect certification. (Either of the two would suffice) Strong networking and data security experience. Awareness Of The Following Application development understanding (Full Stack) Experience on open-source tools like Kafka, Spark, Splunk, Superset, etc. Good understanding of Analytics Platform Landscape that includes AI/ML Experience in any Data Visualization tool like PowerBI / Tableau / Qlik /QuickSight etc. About Us Gramener is a design-led data science company. We build custom Data & AI solutions that help solve complex business problems with actionable insights and compelling data stories. We partner with enterprise data and digital transformation teams to improve the data-driven decision-making culture across the organization. Our open standard low-code platform, Gramex, rapidly builds engaging Data & AI solutions across multiple business verticals and use cases. Our solutions and technology have been recognized by analysts such as Gartner and Forrester and have won several awards. We Offer You a chance to try new things & take risks. meaningful problems you'll be proud to solve. people you will be comfortable working with. transparent and innovative work environment. To know more about us visit Gramener Website and Gramener Blog. If anyone looking for the same, kindly share below mentioned details. Total Experience Relevant Experience: Ctct Notice Period: Ectc Current Location: Skills:- OLAP, Microsoft Azure, Architecting Show more Show less

Overall 5+ Years of Experience, with 2+ Years of experience into Gen AI, LLM Senior AI/ML Engineer who has built RAG based systems, work with vector databases and ability to choose them, hybrid/vector search indexing strategies. Ability to work with different LLMs hosted on different cloud platforms and fine tune them for different use cases, work with multi modal AI use cases like processing images, unstructured text , work and build on different python frameworks like Django and FASTAPI, Having built chatbot applications. understands and has a point of view on architectural considerations, ability to do quick POCs evaluate and integrate into the applications, stays on top of Gen AI trends. Ability to integrate Gen AI features into existing applications. Ability to containerize and deploy applications within existing CI/CD pipeline. About Us Gramener is a design-led data science company. We build custom Data & AI solutions that help solve complex business problems with actionable insights and compelling data stories. We partner with enterprise data and digital transformation teams to improve the data-driven decision-making culture across the organization. Our open standard low-code platform, Gramex, rapidly builds engaging Data & AI solutions across multiple business verticals and use cases. Our solutions and technology have been recognized by analysts such as Gartner and Forrester and have won several awards. We Offer You a chance to try new things & take risks. meaningful problems you'll be proud to solve. people you will be comfortable working with. transparent and innovative work environment. Show more Show less

Experience : 10+ Years of proven experience as a Python Developer with at least 4 years in a technical leadership role. Strong background in software architecture and experience with large-scale, complex systems. Hands-on experience with web frameworks such as Django, Flask, or FastAPI. Expertise in microservices architecture, cloud platforms (AWS, GCP, Azure), and containerization tools like Docker and Kubernetes. Familiarity with CI/CD pipelines, testing frameworks, and Agile development practices. Technical Skills : Proficiency in Python programming, and knowledge of advanced concepts like multithreading, async programming, and design patterns. Strong knowledge of databases (SQL and NoSQL) and experience designing data models and working with ORM (e.g., SQLAlchemy). Solid understanding of system design, network protocols, and APIs (REST, GraphQL). Experience with DevOps tools and automation frameworks. Familiarity with security best practices and ensuring the safety and privacy of sensitive data.

Work Location : Hyderabad/Bangalore What Gramener offers you Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career paths, and steady growth prospects with great scope to innovate. Our goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use. Role Description With 5+ years of application development experience with backend technologies Like Python. Candidate should be able to understand and interpretate business requirements into clearly articulated technology solution. Experience working with RDBMS database models in Cloud. Basic knowledge of cloud components like Databrick, ADLS & OAuth/Secrets will be an added advantage. Understanding different DB’s like Clickhouse, MS SQL, Postgres, Snowflake will be an added advantage. Experience working with Python Tornado and FastAPI frameworks. In-depth understanding of RESTful APIs, token authentications, compression. Good problem-solving skills and Team spirit Experience with version control and issue tracking systems: Bit Bucket, Git CLI, Jira. Strong debugging, problem solving and investigative skills. Ability to assimilate disparate information (log files, error messages etc.) and pursue leads to finding root cause problems. Ability to work in an Agile environment at scale. Excellent verbal and written communication skills. About Us We help consult and deliver solutions to organizations where data acts as the core of decision making. We undertake strategic data consulting for organizations in laying out the roadmap for data-driven decision making. It helps organizations to convert data into a strategic differentiator. Through a host of our product and Solutions, and Service Offerings, we analyze and visualize large amounts of data. To know more about us visit Gramener Website and Gramener Blog. Apply for this role Apply for this Role

Work Location : Hyderabad What Gramener offers you Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career path, steady growth prospects with great scope to innovate. Our goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use Roles and Responsibilities Worked extensively on SFE Analytics (Pharma preferred). Deep understanding of Pharma Data (internal & external), best practices, and utilization of the data to drive the needed outcomes. Strong expertise & understanding of the analytics to perform (at least 2 out of 4): – Territory designing & balancing. – FF alignment. – Call planning management. – Incentive & target management. Analysing cross-channel marketing & commercial interventions, help build use case, value estimation & implementation. Work with the business/functional users to understand the business decision-making and sales & marketing process challenges to recommend data-led solutions. Assist in collecting, cleaning, and pre-processing data from various sources to build usable datasets. Leverage advanced data analytics to address the business needs and create a business impact. Design data science solutions in collaboration with technology architects to address this need. Strong affiliation with quantitative methods and data analysis to deliver business insights. Technical skills required (non-Negotiable): Excel, SQL, Python / R. Skills And Qualifications Minimum 4+ years of experience in a reputed medium to large-scale manufacturing organization (preferably in the pharmaceutical industry) or in a business consulting firm. Prior experience in FMCG or Pharma, working in the Sales & Marketing/Sales Force Excellence areas. Working with data for insights delivery to senior management/leadership teams. Key Personal Attributes Good communication skills, reasoning, and analytical ability. Must be collaborative in approach and a team player. Very good at networking and influencing. Willingness to learn new concepts, tools, and techniques related to the subject. About Us We help consult and deliver solutions to organizations where data is at the core of decision making. We undertake strategic data consulting for organizations in laying out the roadmap for data driven decision making, in order to equip organizations to convert data into a strategic differentiator. Through a host of our product and service offerings we analyse and visualize large amounts of data. To know more about us visit Gramener Website and Gramener Blog. Apply for this role Apply for this Role

Work Location : Hyderabad/Bangalore/Chennai/Noida What Gramener offers you Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career path, steady growth prospects with great scope to innovate. Our goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use Roles and Responsibilities AWS cloud with serverless (ECS, Kubernetes, RDS, Lambda, Beanstalk, etc.) and all regular services like VPC, EC2, Storage. Implement and manage CI/CD pipelines using any tools like azure devops, GitHub actions, Jenkins (anyone knowledge helps). Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform. Implement and maintain Docker containerization and orchestrate applications using Azure Kubernetes Service (AKS). Observability is mandatory like CloudWatch, azure monitor (any cloud exp). Implement security best practices. Optimize Azure cloud resources for performance and cost efficiency, ensuring scalability through auto-scaling features. Collaborate with cross-functional teams to troubleshoot and resolve pipeline and infrastructure issues. Qualification 5+ Strong knowledge of AWS Able to learn new requirements when needed at a pace Any Scripting skills with Bash, YAML or Python is mandatory Experience with Infrastructure as Code (IaC) using Terraform. Moderate Hands-on experience with Docker and Kubernetes for container orchestration. Proficiency in monitoring and logging tool. About Us We help consult and deliver solutions to organizations where data is at the core of decision making. We undertake strategic data consulting for organizations in laying out the roadmap for data driven decision making, in order to equip organizations to convert data into a strategic differentiator. Through a host of our product and service offerings we analyse and visualize large amounts of data. To know more about us visit Gramener Website and Gramener Blog. Apply for this role Apply for this Role

Work Location : Hyderabad/Bangalore/Chennai/Noida What Gramener offers you Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career path, steady growth prospects with great scope to innovate. Our goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use. Roles and Responsibilities Design the data pipelines and engineering infrastructure to support enterprise machine learning systems at scale. Design and implement cloud solutions, build MLOps on cloud (Azure, AWS). Take offline models that data scientists build and turn them into a real machine learning production system. Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Airflow, or similar tools. Conduct data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality. Identify and evaluate new technologies to improve the performance, maintainability, and reliability of machine learning systems. Support model development, with an emphasis on auditability, versioning, and data security. Qualification 6+ years of Data Science experience with at least 2 years into MLOps, Azure ML Studio. Demonstrated ability to analyze results to make accurate conclusions. Good command over database management, development environments. Strong time management and organizational skills. Comfortable articulating your thoughts and demonstrating value in your work. About Us We help consult and deliver solutions to organizations where data acts as the core of decision making. We undertake strategic data consulting for organizations in laying out the roadmap for data-driven decision making. It helps organizations to convert data into a strategic differentiator. Through a host of our product and Solutions, and Service Offerings, we analyze and visualize large amounts of data. To know more about us visit Gramener Website and Gramener Blog. Apply for this role Apply for this Role

The work location for this position is Hyderabad. Gramener offers an inviting workplace with talented colleagues from diverse backgrounds, a clear career path, steady growth prospects, and ample opportunities for innovation. The goal is to establish an ecosystem of easily configurable data applications focused on storytelling for both public and private use. Roles and Responsibilities: - Extensive work experience in SFE Analytics, preferably in the Pharma sector. - Deep understanding of Pharma Data (internal & external), best practices, and leveraging data to drive desired outcomes. - Proficiency in at least 2 out of 4 areas: Territory designing & balancing, FF alignment, Call planning management, and Incentive & target management. - Analyzing cross-channel marketing & commercial interventions, developing use cases, estimating value, and implementing solutions. - Collaborating with business users to comprehend decision-making challenges and recommend data-driven solutions. - Assisting in data collection, cleaning, and pre-processing from various sources to build usable datasets. - Leveraging advanced data analytics to address business needs and create a significant business impact. - Designing data science solutions in partnership with technology architects. - Strong affinity towards quantitative methods and data analysis to provide valuable business insights. - Technical skills required: Excel, SQL, Python / R. Skills And Qualifications: - Minimum 4+ years of experience in a reputed medium to large-scale manufacturing organization (preferably in the pharmaceutical industry) or in a business consulting firm. - Previous experience in FMCG or Pharma, particularly in Sales & Marketing/Sales Force Excellence areas. - Experience in working with data to deliver insights to senior management/leadership teams. Key Personal Attributes: - Excellent communication skills, analytical reasoning, and ability. - Collaborative approach and a team player. - Strong networking and influencing skills. - Willingness to learn new concepts, tools, and techniques related to the subject. About Us: Gramener provides strategic data consulting services to organizations where data plays a crucial role in decision-making. We assist organizations in establishing a roadmap for data-driven decision-making, enabling them to transform data into a strategic differentiator. Through our extensive product and service offerings, we analyze and visualize large datasets. For more information, please visit the Gramener Website and Gramener Blog.,

Hello everyone, Hope all are doing well !!! We are hiring for Chargeback Analyst position. Straive, a leader in delivering technology-driven data/AI solutions for EdTech, Research, and Information Services to leading global organizations Thanks for showing your interest with Straive. Please look into the JD and revert back with your acceptance here. Job Description: Experience: 3+ Yrs Shift: 24/7 hrs (Rotational shift) Job Type: Full Time Location : Hyderabad Job Description: About Straive: Straive (earlier known as SPi Global) is a market leading content solutions company providing content creation services, course design, data operations and platform-based technology solutions. Ed-Tech, Data Solutions, Research and Education Content Services form the core pillars of the companyslong-term vision. With the acquisition of LearningMate in 2020, Straive is an end-to end content and technology partner to K-12, higher education players, digital publishers and LMS providers. The companyis a specialized solutions provider to business information providers in finance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. In early 2021, SPi Global rebranded itself to Straive. The rebranding exercise saw a revamp of the visual identity of the company including a new brand colour, logo, refreshed website and social channels. The name Straive encompasses the company's increased focus on AI-driven solutions and signifies its ongoing endeavor to continuously enhance the value the company brings to its customers, to its employees and to the community. The new brand logo represents Straives commitment to unravel the power of information by Connecting the Dots''. With a client-base scoping 30 countries worldwide, Straives multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom and the company headquarters in Singapore. Website: https://www.straive.com/ LinkedIn We are looking for an experienced Subject Matter Expert (SME) Chargeback Analyst with deep domain expertise in managing e-commerce disputes from the merchant side. The role involves overseeing fraud and non-fraud chargebacks across all card networks, optimizing evidence strategies, guiding junior analysts, and improving dispute recovery rates. The ideal candidate should have hands-on experience with processor portals, payment gateways, CRM tools, and a strong track record of improving win ratios while achieving daily operational targets. Key Responsibilities: Lead and support chargeback handling for card-not-present (CNP) transactions across all major card networks (Visa, MasterCard, Amex, Discover, etc.). Act as the escalation point and subject matter expert for complex fraud and non-fraud dispute cases. Oversee and guide the end-to-end process of gathering evidence from CRMs and payment systems to build strong representments. Operate across multiple processor portals (Stripe, Adyen, Worldpay, PayPal, etc.) and ensure compliance with individual card scheme regulations. Job Description Utilize CRM platforms (e.g., Shopify, Salesforce, Magento, Zendesk) to extract customer data and communication records to support chargeback rebuttals. Drive improvement in win ratios through analysis, training, and continuous enhancement of evidence strategies. Ensure the team meets or exceeds daily productivity and quality targets through mentorship and SOP optimization. Provide training and ongoing guidance to chargeback analysts to ensure consistent application of best practices. Identify root causes of recurring disputes and work cross-functionally to address gaps in fraud controls or customer service. Monitor updates to card network rules and ensure team alignment with industry standards. Requirements: 3+ years of hands-on experience in e-commerce chargeback and dispute resolution, with a focus on the merchant side. Strong knowledge of chargeback lifecycle and rules across all card networks in CNP environments. Expertise in using multiple processor portals and gateways for chargeback handling. Proficient with CRM tools to extract data for evidence compilation. Demonstrated success in improving dispute win ratios and achieving operational targets. Experience in coaching and mentoring junior team members. Strong analytical, communication, and process optimization skills If you are interested please share your resume and details below: Details: Name: Contact: Email: Location: preferred Location: CTC: ECTC: Offer in Hand: Reason for Change:

Work Location : Hyderabad What Gramener offers you Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career path, steady growth prospects with great scope to innovate. Our goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use Cloud Lead – Analytics & Data Products We’re looking for a Cloud Architect/Lead to design, build, and manage scalable AWS infrastructure that powers our analytics and data product initiatives. This role focuses on automating infrastructure provisioning, application/API hosting, and enabling data and GenAI workloads through a modern, secure cloud environment. Roles and Responsibilities Design and provision AWS infrastructure using Terraform or AWS CloudFormation to support evolving data product needs. Develop and manage CI/CD pipelines using Jenkins, AWS CodePipeline, CodeBuild, or GitHub Actions. Deploy and host internal tools, APIs, and applications using ECS, EKS, Lambda, API Gateway, and ELB. Provision and support analytics and data platforms using S3, Glue, Redshift, Athena, Lake Formation, and orchestration tools like Step Functions or Apache Airflow (MWAA). Implement cloud security, networking, and compliance using IAM, VPC, KMS, CloudWatch, CloudTrail, and AWS Config. Collaborate with data engineers, ML engineers, and analytics teams to align infrastructure with application and data product requirements. Support GenAI infrastructure, including Amazon Bedrock, SageMaker, or integrations with APIs like OpenAI. Skills And Qualifications 7-10 years of experience in cloud engineering, DevOps, or cloud architecture roles. Hands-on expertise with the AWS ecosystem and tools listed above. Proficiency in scripting (e.g., Python, Bash) and infrastructure automation. Experience deploying containerized workloads using Docker, ECS, EKS, or Fargate. Familiarity with data engineering and GenAI workflows is a plus. AWS certifications (e.g., Solutions Architect, DevOps Engineer) are preferred. About Us We help consult and deliver solutions to organizations where data is at the core of decision making. We undertake strategic data consulting for organizations in laying out the roadmap for data driven decision making, in order to equip organizations to convert data into a strategic differentiator. Through a host of our product and service offerings we analyse and visualize large amounts of data. To know more about us visit Gramener Website and Gramener Blog. Apply for this role Apply for this Role

Role - Cloud Architect – Analytics & Data Products We’re looking for a Cloud Architect / Lead to design, build, and manage scalable AWS infrastructure that powers our analytics and data product initiatives. This role focuses on automating infrastructure provisioning , application/API hosting , and enabling data and GenAI workloads through a modern, secure cloud environment. Key Responsibilities Design and provision AWS infrastructure using Terraform or AWS CloudFormation to support evolving data product needs. Develop and manage CI/CD pipelines using Jenkins , AWS Code Pipeline , Code Build , or GitHub Actions . Deploy and host internal tools, APIs, and applications using ECS , EKS , Lambda , API Gateway , and ELB . Provision and support analytics and data platforms using S3 , Glue , Redshift , Athena , Lake Formation , and orchestration tools like Step Functions or Apache Airflow (MWAA) . Implement cloud security, networking, and compliance using IAM , VPC , KMS , CloudWatch , CloudTrail , and AWS Config . Collaborate with data engineers, ML engineers, and analytics teams to align infrastructure with application and data product requirements. Support GenAI infrastructure, including Amazon Bedrock , Sage Maker , or integrations with APIs like Open AI . Requirements 10-14 years of experience in cloud engineering, DevOps, or cloud architecture roles. Strong hands-on expertise with the AWS ecosystem and tools listed above. Proficiency in scripting (e.g., Python , Bash ) and infrastructure automation. Experience deploying containerized workloads using Docker , ECS , EKS , or Fargate . Familiarity with data engineering and GenAI workflows is a plus. AWS certifications (e.g., Solutions Architect , DevOps Engineer ) are preferred.

Work Location : Hyderabad What Gramener offers you Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career paths, and steady growth prospects with great scope to innovate. We aim to create an ecosystem of easily configurable data applications focused on storytelling for public and private use. Data Architect We are seeking an experienced Data Architect to design and govern scalable, secure, and efficient data platforms in a data mesh environment. You will lead data architecture initiatives across multiple domains, enabling self-serve data products built on Databricks and AWS, and support both operational and analytical use cases. Key Responsibilities Design and implement enterprise-grade data architectures leveraging the medallion architecture (Bronze, Silver, Gold). Develop and enforce data modelling standards, including flattened data models optimized for analytics. Define and implement MDM strategies (Reltio), data governance frameworks (Collibra), and data classification policies. Lead the development of data landscapes, capturing sources, flows, transformations, and consumption layers. Collaborate with domain teams to ensure consistency across decentralized data products in a data mesh architecture. Guide best practices for ingesting and transforming data using Fivetran, PySpark, SQL, and Delta Live Tables (DLT). Define metadata and data quality standards across domains. Provide architectural oversight for data platform development on Databricks (Lakehouse) and AWS ecosystem. Key Skills & Qualifications Must-Have Technical Skills: (Reltio, Colibra, Ataccama, Immuta) Experience in the Pharma domain. Data Modeling (dimensional, flattened, common data model, canonical, and domain-specific, entity-level data understanding from a business process point of view). Master Data Management (MDM) principles and tools (Reltio) (1). Data Governance and Data Classification frameworks (1). Strong experience with Fivetran**, PySpark, SQL, Python. Deep understanding of Databricks (Delta Lake, Unity Catalog, Workflows, DLT) . Experience with AWS services related to data (e.g., S3, Glue, Redshift, IAM, ). Experience on Snowflake. Architecture & Design Proven expertise in Data Mesh or Domain-Oriented Data Architecture. Experience with medallion/lakehouse architecture. Ability to create data blueprints and landscape maps across complex enterprise systems. Soft Skills Strong stakeholder management across business and technology teams. Ability to translate business requirements into scalable data designs. Excellent communication and documentation skills. Preferred Qualifications Familiarity with regulatory and compliance frameworks (e.g., GxP, HIPAA, GDPR). Background in data product building. About Us We consult and deliver solutions to organizations where data is the core of decision-making. We undertake strategic data consulting for organizations, laying out the roadmap for data-driven decision-making. This helps organizations convert data into a strategic differentiator. Through a host of our products, solutions, and Service Offerings, we analyze and visualize large amounts of data. To know more about us visit Gramener Website and Gramener Blog. Apply for this role Apply for this Role

Role - Cloud Architect Analytics & Data Products Were looking for a Cloud Architect / Lead to design, build, and manage scalable AWS infrastructure that powers our analytics and data product initiatives. This role focuses on automating infrastructure provisioning , application/API hosting , and enabling data and GenAI workloads through a modern, secure cloud environment. Key Responsibilities Design and provision AWS infrastructure using Terraform or AWS CloudFormation to support evolving data product needs. Develop and manage CI/CD pipelines using Jenkins , AWS Code Pipeline , Code Build , or GitHub Actions . Deploy and host internal tools, APIs, and applications using ECS , EKS , Lambda , API Gateway , and ELB . Provision and support analytics and data platforms using S3 , Glue , Redshift , Athena , Lake Formation , and orchestration tools like Step Functions or Apache Airflow (MWAA) . Implement cloud security, networking, and compliance using IAM , VPC , KMS , CloudWatch , CloudTrail , and AWS Config . Collaborate with data engineers, ML engineers, and analytics teams to align infrastructure with application and data product requirements. Support GenAI infrastructure, including Amazon Bedrock , Sage Maker , or integrations with APIs like Open AI . Requirements 10-14 years of experience in cloud engineering, DevOps, or cloud architecture roles. Strong hands-on expertise with the AWS ecosystem and tools listed above. Proficiency in scripting (e.g., Python , Bash ) and infrastructure automation. Experience deploying containerized workloads using Docker , ECS , EKS , or Fargate . Familiarity with data engineering and GenAI workflows is a plus. AWS certifications (e.g., Solutions Architect , DevOps Engineer ) are preferred. Show more Show less

Work Location : Hyderabad What Gramener offers you Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career paths, and steady growth prospects with great scope to innovate. We aim to create an ecosystem of easily configurable data applications focused on storytelling for public and private use. Data Architect We are seeking an experienced Data Architect to design and govern scalable, secure, and efficient data platforms in a data mesh environment. You will lead data architecture initiatives across multiple domains, enabling self-serve data products built on Databricks and AWS, and support both operational and analytical use cases. Key Responsibilities Design and implement enterprise-grade data architectures leveraging the medallion architecture (Bronze, Silver, Gold). Develop and enforce data modelling standards, including flattened data models optimized for analytics. Define and implement MDM strategies (Reltio), data governance frameworks (Collibra), and data classification policies. Lead the development of data landscapes, capturing sources, flows, transformations, and consumption layers. Collaborate with domain teams to ensure consistency across decentralized data products in a data mesh architecture. Guide best practices for ingesting and transforming data using Fivetran, PySpark, SQL, and Delta Live Tables (DLT). Define metadata and data quality standards across domains. Provide architectural oversight for data platform development on Databricks (Lakehouse) and AWS ecosystem. Key Skills & Qualifications Must-Have Technical Skills: (Reltio, Colibra, Ataccama, Immuta) Experience in the Pharma domain. Data Modeling (dimensional, flattened, common data model, canonical, and domain-specific, entity-level data understanding from a business process point of view). Master Data Management (MDM) principles and tools (Reltio) (1). Data Governance and Data Classification frameworks (1). Strong experience with Fivetran**, PySpark, SQL, Python. Deep understanding of Databricks (Delta Lake, Unity Catalog, Workflows, DLT) . Experience with AWS services related to data (e.g., S3, Glue, Redshift, IAM, ). Experience on Snowflake. Architecture & Design Proven expertise in Data Mesh or Domain-Oriented Data Architecture. Experience with medallion/lakehouse architecture. Ability to create data blueprints and landscape maps across complex enterprise systems. Soft Skills Strong stakeholder management across business and technology teams. Ability to translate business requirements into scalable data designs. Excellent communication and documentation skills. Preferred Qualifications Familiarity with regulatory and compliance frameworks (e.g., GxP, HIPAA, GDPR). Background in data product building. About Us We consult and deliver solutions to organizations where data is the core of decision-making. We undertake strategic data consulting for organizations, laying out the roadmap for data-driven decision-making. This helps organizations convert data into a strategic differentiator. Through a host of our products, solutions, and Service Offerings, we analyze and visualize large amounts of data. To know more about us visit Gramener Website and Gramener Blog. Apply for this role Apply for this Role Show more Show less

The job is based in Hyderabad/Bangalore/Chennai and at Gramener, you will find a welcoming work environment with diverse colleagues, a clear career path, and ample opportunities for growth and innovation. The company aims to develop a range of easily configurable data applications focused on storytelling for both public and private use. As part of your role, you will be involved in various impactful customer technical data platform projects, taking the lead on strategic initiatives that cover the design, development, and deployment of cutting-edge solutions. Collaboration with platform engineering teams will be key in implementing Data Brick services effectively within the company's infrastructure. Your expertise with Data Bricks Unity Catalog will be crucial in establishing strong data governance and lineage capabilities. Implementing CI/CD practices to streamline the deployment of Data bricks solutions will be part of your responsibilities. Additionally, you will contribute to the development of a data mesh architecture that promotes decentralized data ownership and accessibility across the organization, enabling teams to derive actionable insights from their data. In terms of skills and qualifications, you should have expertise in Azure Architecture and Platform, including Azure Data Lake, AI/ML model hosting, Key Vault, Event Hub, Logic Apps, and other Azure cloud services. Strong integration with Azure, workflow orchestration, and governance in Databricks Development is required. Hands-on experience with scalable ETL/ELT pipelines, Delta Lake, and enterprise data management is essential in Data Engineering & Architecture. Your coding and implementation skills should encompass modular design, CI/CD, version control, and best coding and design practices in Software Engineering. Proficiency in Python and PySpark is necessary for building reusable packages and components catering to both technical and business users. Experience with enterprise processes, structured environments, and compliance frameworks is valuable, along with knowledge of data lineage, GxP, HIPAA, GDP compliance, and regulatory requirements in Governance and Security. Familiarity with Pharma, MedTech, and Life Sciences domains is a plus, including an understanding of industry-specific data, regulatory constraints, and security considerations. Gramener specializes in providing data-driven decision-making solutions to organizations, helping them leverage data as a strategic asset. The company offers strategic data consulting services to guide organizations in making data-driven decisions and transforming data into a competitive advantage. Through a range of products, solutions, and services, Gramener analyzes and visualizes large volumes of data to drive insights and decision-making processes. To learn more about Gramener, visit the company's website and blog.,

You will be joining an inviting workplace at Gramener, with talented colleagues from diverse backgrounds. Here, you will have the opportunity for career growth and steady development, along with great scope to innovate. The goal is to create an ecosystem of easily configurable data applications focused on storytelling for both public and private use. As a Data Engineer with over 10 years of experience, your key responsibilities will include designing and building data models to meet the strategic data needs of the organization. You will collaborate with technical and business stakeholders to understand requirements and develop solutions. Additionally, you will perform requirement analysis, create architectural models, identify operational issues, and recommend strategies to resolve them. Communication with business users is crucial, as you will need to explain technical solutions and address any questions they may have. It will be your responsibility to ensure that solutions align with corporate standards and compliance requirements. You will also be developing technical specifications for solutions and systems engineers, assessing the impacts of proposed solutions, and determining the resources needed for implementation. In this role, you will use Python libraries to gather data for projects. Your expertise in Python will enable you to interact with APIs, connect with databases, and perform web scraping. Gramener is a company that provides strategic data consulting services to organizations, helping them make data-driven decisions. By analyzing and visualizing large amounts of data, Gramener assists organizations in leveraging data as a strategic differentiator. To learn more about Gramener, visit our website and blog. If you are passionate about data engineering and have the required skills and experience, we encourage you to apply for this exciting opportunity.,

As the Head of Demand Generation at Gramener, you will play a crucial role in leading the demand marketing efforts and driving pipeline growth for the enterprise software solutions business. Your responsibilities will include developing and executing multi-channel demand generation strategies, managing a team of marketing program managers and Sales Development Representatives (SDRs), and collaborating with cross-functional teams to achieve revenue goals. Your main responsibilities will include: - Developing and executing multi-channel demand generation strategies aligned with personas, audiences, and sales objectives to support pipeline and revenue goals. - Collaborating with sales, product, and customer success teams to ensure alignment and effective execution of demand generation strategies. - Constructing and implementing marketing programs across earned, paid, and owned channels to engage prospects and customers effectively. - Understanding buyer behavior to create authentic conversations and promotions that move them through the sales funnel efficiently. - Collaborating with stakeholders to ensure effective execution of demand generation strategies. - Staying updated on the latest B2B marketing strategies and technologies to continuously improve demand generation efforts. - Analyzing marketing program outcomes, optimizing performance, and reporting results clearly to inform decision-making. - Leading and developing a team of marketing program managers and SDRs, managing budget, and reporting on ROI. - Developing a content strategy, planning and executing events, and implementing influencer marketing and account-based marketing strategies. - Using data and analytics to make data-driven decisions and measure the effectiveness of marketing programs. To be successful in this role, you should have: - 12+ years of experience in demand generation leadership roles, preferably in the B2B enterprise software space. - Strong analytical skills to optimize conversion rates across the sales and marketing funnel. - Proficiency in marketing technology and automation systems such as Hubspot, Google Analytics, Google Tag Manager, and Semrush. - Proven success in delivering demand generation programs across various channels. - Experience in managing SDRs or working closely with SDR teams. - Knowledge of data acquisition and management to support lead nurturing and outbound programs. At Gramener, we consult and deliver data-driven solutions to organizations, helping them convert data into a strategic differentiator. If you are passionate about demand generation and have the required skills and experience, we encourage you to apply for this role through our website.,

As a Data bricks Architect at Gramener, you will have the opportunity to engage in diverse impactful customer technical Big Data projects. Your responsibilities will include developing reference architectures, how-to guides, and minimally viable products (MVPs). Leading strategic initiatives encompassing the end-to-end design, build, and deployment of industry-leading big data and AI applications will be a key aspect of your role. You will provide architectural guidance to foster the adoption of Databricks across business-facing functions and collaborate with platform engineering teams to implement Databrick services effectively within the infrastructure. Your expertise in AWS administration and architecture will be utilized to optimize cloud resources and ensure seamless integration with Databricks. You will also leverage your hands-on experience with Databricks Unity Catalog to implement robust data governance and lineage capabilities. Advocating for and implementing CI/CD practices to streamline the deployment of Databricks solutions will be part of your responsibilities. Additionally, you will contribute to developing a data mesh architecture that promotes decentralized data ownership and accessibility across the organization. To qualify for this role, you should have at least 7 years of experience with Big Data technologies, including Apache Spark, cloud-native data lakes, and data mesh platforms, in a technical architecture or consulting role. A minimum of 5 years of independent experience in Big Data architecture is required. Proficiency in Python coding, familiarity with data engineering best practices, and extensive experience working with AWS cloud platforms are essential qualifications. Strong documentation and whiteboarding skills will be necessary to effectively communicate complex ideas. You must possess in-depth knowledge of the latest services offered by Databricks and have the ability to evaluate and integrate these services into the platform. Demonstrated expertise in migrating from Databricks classic platform to Lakehouse architecture, utilizing Delta file format and/or Delta Live Tables, is also required. A collaborative mindset with the ability to work effectively across teams and functions is crucial for success in this role. Gramener offers an inviting workplace with talented colleagues from diverse backgrounds, career paths, and steady growth prospects with great scope to innovate. The company aims to create an ecosystem of easily configurable data applications focused on storytelling for public and private use. If you are looking to be part of a dynamic team that consults and delivers data-driven solutions to organizations, this role could be the perfect fit for you. To learn more about Gramener, visit the company's website and blog. If you are interested in this opportunity, we encourage you to apply for the Data bricks Architect role at Gramener.,

As a Lead Data Consultant at Gramener, your role will involve shaping strategy, business planning, and advanced analytics by partnering with clients and cross-functional teams. You will lead client engagements to design and deliver data-driven solutions and applications. Your responsibilities will include capturing requirements, challenges, and opportunities through frameworks, workshops, and client interviews. You will translate complex data into actionable insights and recommendations, enabling organizations to improve performance by harnessing the power of data. Key Responsibilities: - Lead client engagements to design and deliver data-driven solutions and applications. - Capture requirements, challenges, and opportunities through frameworks, workshops, and client interviews. - Translate complex data into actionable insights and recommendations. - Convert client needs into analytics-based solutions and ensure successful delivery. - Contribute to department-level strategy and manage end-to-end delivery of key projects. - Build strong relationships with internal and external stakeholders. - Identify and implement best practices to improve efficiency and overall impact. Qualifications: - Masters degree in Business Management from a premier institution. - Strong understanding of project lifecycles, requirement frameworks, and solution design. - Proficiency in SQL and Excel; working knowledge of Python preferred. - Familiarity with statistical concepts and techniques. - Excellent problem-solving, critical-thinking, and analytical skills. - Strong communication and presentation abilities. - Detail-oriented with a focus on data accuracy and quality. - Proficiency in MS Office tools. - Collaborative team player with adaptability to diverse working environments. - Passion for data-driven decision-making and eagerness to adopt emerging technologies. Gramener offers an inviting workplace with talented colleagues from diverse backgrounds, steady growth prospects, and great scope to innovate. The company's goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use. Gramener helps organizations in strategic data consulting to lay out the roadmap for data-driven decision-making, making data a strategic differentiator for businesses.,