17062 Spark Jobs - Page 40

Qualification OLAP, Data Engineering, Data warehousing, ETL Hadoop ecosystem or AWS, Azure or GCP Cluster and processing Experience working on Hive or Spark SQL or Redshift or Snowflake Experience in writing and troubleshooting SQL programming or MDX queries Experience of working on Linux Experience in Microsoft Analysis services (SSAS) or OLAP tools Tableau or Micro strategy or any BI tools Expertise of programming in Python, Java or Shell Script would be a plus Role Be frontend person of the world’s most scalable OLAP product company – Kyvos Insights. Interact with senior-most technical and business people of large enterprises to understand their big data strategy and their problem statements in that area. Create, present, align customers with and implement solutions around Kyvos products for the most challenging enterprise BI/DW problems. Be the Go-To person for prospects regarding technical issues during POV stage. Be instrumental in reading the pulse of the big data market and defining the roadmap of the product. Lead a few small but highly efficient teams of Big data engineers Efficient task status reporting to stakeholders and customer. Good verbal & written communication skills Be willing to work on off hours to meet timeline. Be willing to travel or relocate as per project requirement Experience 3 to 6 years Job Reference Number 10350

Qualification Required Proven hands-on experience on designing, developing and supporting Database projects for analysis in a demanding environment. Proficient in database design techniques – relational and dimension designs Experience and a strong understanding of business analysis techniques used. High proficiency in the use of SQL or MDX queries. Ability to manage multiple maintenance, enhancement and project related tasks. Ability to work independently on multiple assignments and to work collaboratively within a team is required. Strong communication skills with both internal team members and external business stakeholders Added Advanatage Hadoop ecosystem or AWS, Azure or GCP Cluster and processing Experience working on Hive or Spark SQL or Redshift or Snowflake will be an added advantage. Experience of working on Linux system Experience of Tableau or Micro strategy or Power BI or any BI tools will be an added advantage. Expertise of programming in Python, Java or Shell Script would be a plus Role Roles & Responsibilities Be frontend person of the world’s most scalable OLAP product company – Kyvos Insights. Interact with senior-most technical and business people of large enterprises to understand their big data strategy and their problem statements in that area. Create, present, align customers with and implement solutions around Kyvos products for the most challenging enterprise BI/DW problems. Be the Go-To person for customers regarding technical issues during the project. Be instrumental in reading the pulse of the big data market and defining the roadmap of the product. Lead a few small but highly efficient teams of Big data engineers Efficient task status reporting to stakeholders and customer. Good verbal & written communication skills Be willing to work on off hours to meet timeline. Be willing to travel or relocate as per project requirement Experience 5 to 10 years Job Reference Number 11078

Qualification Pre-Sales Solution Engineer - India Experience Areas Or Skills Pre-Sales experience of Software or analytics products Excellent verbal & written communication skills OLAP tools or Microsoft Analysis services (MSAS) Data engineering or Data warehouse or ETL Hadoop ecosystem or AWS, Azure or GCP Cluster and processing Tableau or Micro strategy or any BI tool Hive QL or Spark SQL or PLSQL or TSQL Writing and troubleshooting SQL programming or MDX queries Working on Linux programming in Python, Java or Java Script would be a plus Filling RFP or Questioner from Customer NDA, Success Criteria, Project closure and other Documentation Be willing to travel or relocate as per requirement Role Acts as main point of contact for Customer contacts involved in the evaluation process Product demonstrations to qualified leads Product demonstrations in support of marketing activity such as events or webinars Own RFP, NDA, PoC success criteria document, POC Closure and other documents Secures alignment on Process and documents with the customer / prospect Owns the technical win phases of all active opportunities Understand Customer domain and database schema Providing OLAP and Reporting solution Work closely with customers for understanding and resolving environment or OLAP cube or reporting related issues Co-ordinate with solutioning team for execution of PoC as per success plan Creates enhancement requests or identify requests for new features on behalf of customers or hot prospects Experience 3 to 6 years Job Reference Number 10771

Candidate Specifications: Candidate should have 9+ years of experience. Candidates should have 9+ years of experience in Python and Pyspark Candidate should have strong experience in AWS and PLSQL. Candidates should be strong in Data management with data governance and data streaming along with data lakes and data-warehouse Candidates should also have exposure in Team handling and stakeholder management skills. Candidate should have excellent in written and verbal communication skills. Contact Person: Sheena Rakesh

Company:IT Services Organization Key Skills: Spark, Azure Databricks, Azure, Python, Pyspark Roles and Responsibilities: Develop and maintain scalable data processing systems using Apache Spark and Azure Databricks. Implement data integration from various sources including RDBMS, ERP systems, and files. Design and optimize SQL queries, stored procedures, and relational schemas. Build stream-processing systems using technologies such as Apache Storm or Spark-Streaming. Utilize messaging systems like Kafka or RabbitMQ for data ingestion. Ensure performance tuning of Spark jobs for optimal efficiency. Collaborate with cross-functional teams to deliver high-quality data solutions. Lead and mentor a team of data engineers, fostering a culture of continuous improvement and Agile practices. Skills Required: Proficient in Apache Spark and Azure Databricks Strong experience with Azure ecosystem and Python Working knowledge of Pyspark (Nice-to-Have) Experience in data integration from varied sources Expertise in SQL optimization and stream-processing systems Familiarity with Kafka or RabbitMQ Ability to lead and mentor engineering teams Strong understanding of distributed computing principles Education: Bachelor's degree in Computer Science, Information Technology, or a related field.

Role : Developer Exp : 5 to 10 yrs Location : Magarpatta City, Pune Notice Period : Immediate Joiners Mandatory - Experience and deep knowledge of Spark, Kafka, open table, NOSQL and SQL DBs Required Skills :( Must have an exp in below skills ) Data Platform Java Python Spark Kafka Cloud technologies (Azure / AWS) Databricks SQL . Python development specifically as data engineer expert or specialist with at least 5 years of experience. Mandatory - Experience and deep knowledge of Spark, Kafka, open table, NOSQL and SQL DBs. Primary job responsibilities Work with other team members to improve, maintain and monitor the data ingestion domains in the Data and AI platform. Come to the office 3 times a week. Innovate the ingestion and analytics domains and extend the capabilities and knowledge within the team. Work with the architect of the domains Knowledge in Java. microservices and K8S Databrick experience and delta format Interested Candidate Share Resume at dipti.bhaisare@in.experis.com

Qualification 15+ years of experience in the role of managing and implementing of high-end software products. Expertise in Java/ J2EE or EDW/SQL OR Hadoop/Hive/Spark and preferably hands-on. Good knowledge* of any of the Cloud (AWS/Azure/GCP) – Must Have Managed/ delivered and implemented complex projects dealing with considerable data size (TB/ PB) and with high complexity Experience in handling migration projects Good To Have Data Ingestion, Processing and Orchestration knowledge Role Senior Technical Project Managers (STPMs) are in charge of handling all aspects of technical projects. This is a multi-dimensional and multi-functional role. You will need to be comfortable reporting program status to executives, as well as diving deep into technical discussions with internal engineering teams and external partners. You should collaborate with, and leverage, colleagues in business development, product management, analytics, marketing, engineering, and partner organizations. You have to manage multiple projects and ensures all releases on time. You are responsible for manage and deliver the technical solution to support an organization’s vision and strategic direction. The technology program manager delivers the technical solution to support an organization’s vision and strategic direction. You should be capable to working with a different type of customer and should possess good customer handling skills. Experience in working in ODC model and capable of presenting the Technical Design and Architecture to Senior Technical stakeholders. Should have experience in defining the project and delivery plan for each assignment Capable of doing resource allocations as per the requirements for each assignment Should have experience of driving RFPs. Should have experience of Account management – Revenue Forecasting, Invoicing, SOW creation etc. Experience 15 to 20 years Job Reference Number 13010

Job Description EMPLOYMENT TYPE: Full-Time, Permanent LOCATION: Remote (Pan India) SHIFT TIMINGS: 2.00 pm-11:00 pm IST Budget- As per company standards REPORTING: This position will report to our CEO or any other Lead as assigned by Management. The Senior Data Engineer will be responsible for building and extending our data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys working with big data and building systems from the ground up. You will collaborate with our software engineers, database architects, data analysts, and data scientists to ensure our data delivery architecture is consistent throughout the platform. You must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. What You’ll Be Doing: ● Design and build parts of our data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources using the latest Big Data technologies. ● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. ● Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. ● Work with machine learning, data, and analytics experts to drive innovation, accuracy and greater functionality in our data system. Qualifications: ● Bachelor's degree in Engineering, Computer Science, or relevant field. ● 10+ years of relevant and recent experience in a Data Engineer role. ● 5+ years recent experience with Apache Spark and solid understanding of the fundamentals. ● Deep understanding of Big Data concepts and distributed systems. ● Strong coding skills with Scala, Python, Java and/or other languages and the ability to quickly switch between them with ease. ● Advanced working SQL knowledge and experience working with a variety of relational databases such as Postgres and/or MySQL. ● Cloud Experience with DataBricks ● Experience working with data stored in many formats including Delta Tables, Parquet, CSV and JSON. ● Comfortable working in a linux shell environment and writing scripts as needed. ● Comfortable working in an Agile environment ● Machine Learning knowledge is a plus. ● Must be capable of working independently and delivering stable, efficient and reliable software. ● Excellent written and verbal communication skills in English. ● Experience supporting and working with cross-functional teams in a dynamic environment.

Job Summary We are looking for a Data Engineer with strong experience in cloud platforms (AWS & Azure) , Scala programming , and a solid understanding of data architecture and governance frameworks . You will play a key role in building, optimizing, and maintaining scalable data pipelines and systems while ensuring data quality, security, and compliance across the organization. Key Responsibilities Data Engineering & Development Design and develop reliable, scalable ETL/ELT data pipelines using Scala , SQL , and orchestration tools. Integrate and process structured, semi-structured, and unstructured data from various sources (APIs, databases, flat files, etc.). Develop solutions on AWS (e.g., S3, Glue, Redshift, EMR) and Azure (e.g., Data Factory, Synapse, Blob Storage). Cloud & Infrastructure Build cloud-native data solutions that align with enterprise architecture standards. Leverage IaC tools (Terraform, CloudFormation, ARM templates) to deploy and manage infrastructure. Monitor performance, cost, and security posture of data environments in both AWS and Azure. Data Architecture & Governance Collaborate with data architects to define and implement logical and physical data models. Apply data governance principles including data cataloging , lineage tracking , data privacy , and compliance (e.g., GDPR) . Support the enforcement of data policies and data quality standards across data domains. Collaboration & Communication Work cross-functionally with data analysts, scientists, architects, and business stakeholders to support data needs. Participate in Agile ceremonies and contribute to sprint planning and reviews. Maintain clear documentation of pipelines, data models, and data flows. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 3–6 years of experience in data engineering or data platform development. Hands-on experience with AWS and Azure data services. Proficient in Scala for data processing (e.g., Spark, Kafka Streams). Strong SQL skills and familiarity with distributed systems. Experience with orchestration tools (e.g., Apache Airflow, Azure Data Factory).

Experience: 6 months to 5 years Who You Are You’re not just someone who watches shows and movies - you live them. You're someone who always knows the hot take , the hidden reference , and the perfect meme for the moment. You: Can turn a scene, quote, or plot twist into content people want to share immediately. Know what’s trending - not just what is , but what will be . Are obsessed with Instagram Reels, YouTube Shorts, and X (Twitter) - you scroll not just to consume, but to crack the code. Have a mind that thinks in “formats” - from “30-sec breakdowns” to “5-moment recaps” to “this scene lives in my head rent-free.” Are part pop-culture nerd, part content machine, and fully in love with storytelling. Understand that tone, timing, and thumb-stopping hooks make all the difference. Can spark emotion, FOMO, or LOLs - all within 30 seconds. What You'll Do Ideate, script, and execute content for the brand - covering shows, movies, creators, and pop-culture moments. Build formats that hook audiences - think “review in 15 seconds,” “best scenes from episode 2,” or “why this dialogue broke the internet.” Pitch reel ideas, trending hooks, and social-first series that make people share, save, and scream “SO TRUE.” Work closely with editors/designers to bring your concepts to life visually - and make sure it vibes right with the tone of the brand/page. Jump on trends - not just by following them, but reimagining them in your own way for your audience. Write scripts for reels, short-form video breakdowns, pop-culture explainers, and other fun formats. Keep an eye on analytics to understand what’s working, what’s flopping, and what needs a remix.

Backend & MLOps Engineer – Integration, API, and Infrastructure Expert 1.⁠ ⁠Role Objective: Responsible for building robust backend infrastructure, managing ML operations, and creating scalable APIs for AI applications. Must excel in deploying and maintaining AI products in production environments with high availability and security standards. The engineer will be expected to build secure, scalable backend systems that integrate AI models into services (REST, gRPC), manage data pipelines, enable model versioning, and deploy containerized applications in secure (air-gapped) Naval infrastructure. 2.⁠ ⁠Key Responsibilities: 2.1. Create RESTful and/or gRPC APIs for model services. 2.2. Containerize AI applications and maintain Kubernetes-compatible Docker images. 2.3. Develop CI/CD pipelines for model training and deployment. 2.4. Integrate models as microservices using TorchServe, Triton, or FastAPI. 2.5. Implement observability (metrics, logs, alerts) for deployed AI pipelines. 2.6. Build secured data ingestion and processing workflows (ETL/ELT). 2.7. Optimize deployments for CPU/GPU performance, power efficiency, and memory usage 3.⁠ ⁠Educational Qualifications Essential Requirements: 3.1. B.Tech/ M.Tech in Computer Science, Information Technology, or Software Engineering. 3.2. Strong foundation in distributed systems, databases, and cloud computing. 3.3. Minimum 70% marks or 7.5 CGPA in relevant disciplines. Professional Certifications: 3.4. AWS Solutions Architect/DevOps Engineer Professional 3.5. Google Cloud Professional ML Engineer or DevOps Engineer 3.6. Azure AI Engineer or DevOps Engineer Expert. 3.7. Kubernetes Administrator (CKA) or Developer (CKAD). 3.8. Docker Certified Associate Core Skills & Tools 4.⁠ ⁠Backend Development: 4.1. Languages: Python, FastAPI, Flask, Go, Java, Node.js, Rust (for performance-critical components) 4.2. Web Frameworks: FastAPI, Django, Flask, Spring Boot, Express.js. 4.3. API Development: RESTful APIs, GraphQL, gRPC, WebSocket connections. 4.4. Authentication & Security: OAuth 2.0, JWT, API rate limiting, encryption protocols. 5.⁠ ⁠MLOps & Model Management: 5.1. ML Platforms: MLflow, Kubeflow, Apache Airflow, Prefect 5.2. Model Serving: TensorFlow Serving, TorchServe, ONNX Runtime, NVIDIA Triton, BentoML 5.3. Experiment Tracking: Weights & Biases, Neptune, ClearML 5.4. Feature Stores: Feast, Tecton, Amazon SageMaker Feature Store 5.5. Model Monitoring: Evidently AI, Arize, Fiddler, custom monitoring solutions 6.⁠ ⁠Infrastructure & DevOps: 6.1. Containerization: Docker, Podman, container optimization. 6.2. Orchestration: Kubernetes, Docker Swarm, OpenShift. 6.3. Cloud Platforms: AWS, Google Cloud, Azure (multi-cloud expertise preferred). 6.4. Infrastructure as Code: Terraform, CloudFormation, Pulumi, Ansible. 6.5. CI/CD: Jenkins, GitLab CI, GitHub Actions, ArgoCD. 6.6. DevOps & Infra: Docker, Kubernetes, NGINX, GitHub Actions, Jenkins. 7.⁠ ⁠Database & Storage: 7.1. Relational: PostgreSQL, MySQL, Oracle (for enterprise applications) 7.2. NoSQL: MongoDB, Cassandra, Redis, Elasticsearch 7.3. Vector Databases: Pinecone, Weaviate, Chroma, Milvus 7.4. Data Lakes: Apache Spark, Hadoop, Delta Lake, Apache Iceberg 7.5. Object Storage: AWS S3, Google Cloud Storage, MinIO 7.6. Backend: Python (FastAPI, Flask), Node.js (optional) 7.7. DevOps & Infra: Docker, Kubernetes, NGINX, GitHub Actions, Jenkins 8.⁠ ⁠Secure Deployment: 8.1. Military-grade security protocols and compliance 8.2. Air-gapped deployment capabilities 8.3. Encrypted data transmission and storage 8.4. Role-based access control (RBAC) & IDAM integration 8.5. Audit logging and compliance reporting 9.⁠ ⁠Edge Computing: 9.1. Deployment on naval vessels with air gapped connectivity. 9.2. Optimization of applications for resource-constrained environment. 10.⁠ ⁠High Availability Systems: 10.1. Mission-critical system design with 99.9% uptime. 10.2. Disaster recovery and backup strategies. 10.3. Load balancing and auto-scaling. 10.4. Failover mechanisms for critical operations. 11.⁠ ⁠Cross-Compatibility Requirements: 11.1. Define and expose APIs in a documented, frontend-consumable format (Swagger/OpenAPI). 11.2. Develop model loaders for AI Engineer's ONNX/ serialized models. 11.3. Provide UI developers with test environments, mock data, and endpoints. 11.4. Support frontend debugging, edge deployment bundling, and user role enforcement. 12.⁠ ⁠Experience Requirements 12.1. Production experience with cloud platforms and containerization. 12.2. Experience building and maintaining APIs serving millions of requests. 12.3. Knowledge of database optimization and performance tuning. 12.4. Experience with monitoring and alerting systems. 12.5. Architected and deployed large-scale distributed systems. 12.6. Led infrastructure migration or modernization projects. 12.7. Experience with multi-region deployments and disaster recovery. 12.8. Track record of optimizing system performance and cost

Roles & Responsibilities: Professional Skill: Business Analysis, Analytical Thinking, Problem Solving, Decision Making, Leadership, Managerial, Time Management, Domain Knowledge Work simplification - methods that maximize output while minimizing expenditure and cost. Analytics with Data - interprets data and turns it into information which can offer ways to improve a business Communication - Good verbal communication and interpersonal skills are essential for collaborating with customers Technical Skills: Python/Numpy, Seaborn, Pandas, Selenium, Beautiful Soup (basic), Spotfire, ML Libraries, RPA, R, Iron-Python, Html CSS, Javascript, SQL, HQL, Git/Gitlabee, Spark, Scala, Webservices, Spotfire/ Tableau, JIRA Tool Skill: Project management tools, Documentation tools, Modeling [wireframe] tools Database Skills: MsSQL, Postgres, MsAccess, Mongo DB Rigorous - The ability to analyse qualitative data quickly and rigorously Adaptability - Being able to adapt to changing environments and work processes Experience : Minimum 8 years of experience in Data Science / Preferable in Automobile Engineering Domain What we look from candidate who has matching skills on below. Key Skills: DAO - AI/ML, Automation, Python, big query. Project Management*, Agile, SDLC. Location : Chennai - Mahindra World City Campus. Work Mode : Hybrid

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? As a Data Engineer, you will be responsible for designing, developing, and maintaining robust and scalable framework/services/application/pipelines for processing huge volume of data. You will work closely with cross-functional teams to deliver high-quality software solutions that meet our organizational needs. Key Responsibilities: Design and develop solutions using Bigdata tools and technologies like Bigquery, Hive, Spark etc. Extensive hands-on experience in object-oriented programming using Python, PySpark APIs etc. Experience in building data pipelines for huge volume of data. Experience in designing, implementing, and managing various ETL job execution flows. Experience in implementing and maintaining Data Ingestion process. Hands on experience in writing basic to advance level of optimized queries using HQL, SQL & Spark. Hands on experience in designing, implementing, and maintaining Data Transformation jobs using most efficient tools/technologies. Ensure the performance, quality, and responsiveness of solutions. Participate in code reviews to maintain code quality. Should be able to write shell scripts. Utilize Git for source version control. Set up and maintain CI/CD pipelines. Troubleshoot, debug, and upgrade existing application & ETL job chains. Required Skills and Qualifications: Bachelor’s degree in Computer Science Engineering, or a related field. Proven experience as Data Engineer or similar role. Strong proficiency in Object Oriented programming using Python. Experience with ETL jobs design principles. Solid understanding of HQL, SQL and data modelling. Knowledge on Unix/Linux and Shell scripting principles. Familiarity with Git and version control systems. Experience with Jenkins and CI/CD pipelines. Knowledge of software development best practices and design patterns. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Experience with cloud platforms such as Google Cloud. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Buil Building and Deploying ML Models Design, build, optimize, deploy and monitor machine learning models for production use cases. Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments. Work with data engineers to design data pipelines that feed into ML models. Optimize model performance, ensuring low latency and high accuracy. Leading and Architecting ML Solutions Lead a team of ML Engineers, providing technical mentorship and guidance. Architect ML solutions that integrate seamlessly with business applications. Ensure models are explainable, auditable, and aligned with business goals. Drive best practices in MLOps, CI/CD, and model monitoring. Collaborating and Communicating Work closely with business stakeholders to understand problem statements and define ML-driven solutions. Collaborate with software engineers, data engineers, platform engineers and product managers to integrate ML models into production systems. Present technical concepts to non-technical stakeholders in an easy-to-understand manner. What We’re Looking For: Machine Learning Expertise Deep understanding of supervised and unsupervised learning, deep learning, and NLP techniques, and large language models (LLMs). Experience in training, fine-tuning, and deploying ML and LLM models at scale. Proficiency in ML frameworks such as TensorFlow, PyTorch, Scikit-learn etc. Production and Cloud Deployment Hands-on experience deploying models to AWS, GCP, or Azure. Understanding of MLOps, including CI/CD for ML models, model monitoring, and retraining pipelines. Experience working with Docker, Kubernetes, or serverless architectures is a plus. Data Handling Strong programming skills in Python. Proficiency in SQL and working with large-scale datasets. Familiarity with distributed computing frameworks like Spark or Dask is a plus. Leadership and Communication Ability to lead and mentor a team of ML Engineers and collaborate effectively across functions. Strong communication skills to explain technical concepts to business teams. Passion for staying updated with the latest advancements in ML and AI. Experience Needed: 6+ years of experience in machine learning engineering or related roles. Experience in deploying and managing ML and LLM models in production. Proven track record of working in cross-functional teams and leading ML projects.

Job Description – Assistant Manager, Special Initiatives & Brand Solutions www.bwobrands.com About the Role We’re looking for a smart, entrepreneurial, and creatively driven individual to join our Special Initiatives team at BWO. This role sits at the intersection of brand partnerships, innovation, and business development. You’ll be working directly with leadership to scout, shape, and launch high-impact brand initiatives and collaborations that go beyond the traditional. If you’re someone who loves cracking new ideas, turning nascent opportunities into structured business cases, and pitching game-changing concepts to partners—this one’s for you. Key Responsibilities - Identify and evaluate emerging brand and cultural opportunities with commercial potential - Develop compelling business cases and partnership models for new ideas - Collaborate with internal teams (creative, strategy, licensing, product) to shape initiatives from concept to execution - Build strong narratives and presentations for pitches to external stakeholders and partners - Support strategic planning for collaborations across lifestyle, entertainment, consumer products, and pop culture - Track cultural trends, creator economy, tech, and youth culture to spark new ideas - Assist leadership in driving high-impact special projects with tight turnarounds and big ambitions You Should Have - 2–4 years of experience in brand strategy, partnerships, media, innovation, or startup/agency environments - A sharp strategic mind with a bias for action and problem-solving - Excellent communication and storytelling skills – both written and visual - High comfort in creating presentations that combine creative thinking with business logic - Strong understanding of what makes ideas commercially and culturally resonant - Entrepreneurial attitude, hustle mindset, and a passion for building new things - Ability to work independently and manage multiple priorities in a fast-paced environment Bonus Points For - Familiarity with AI tools like ChatGPT, MidJourney, Notion AI, Figma AI, or similar for concept development or productivity - Experience in licensing, merchandising, content marketing, or product development - Knowledge of the creative ecosystem – from artists to storytellers, designers to strategists Why Join Us? At BWO, we don’t just license brands — we build movements. You’ll work with a future-facing team that thrives on imagination, cultural relevance, and a knack for building ideas that can shift markets. This is your chance to be part of stories that matter. To apply : https://forms.zohopublic.in/unhr/form/JobApplicationforBWO/formperma/JFu3YErWPFX7zgMVxMSjJTGDUGGijZacoVXF106eSbk?Position=Assistant%20Manager-Special%20Initiatives%20%26%20Brand%20Solutions Or write to hr@blackwhiteorange.in

The Customer, Sales & Service Practice | Cloud Job Title - Amazon Connect + Level 9 (Consultant) + Entity (S&C GN) Management Level: Level 9 - Consultant Location: Delhi, Mumbai, Bangalore, Gurgaon, Pune, Hyderabad and Chennai Must have skills: AWS contact center, Amazon Connect flows, AWS Lambda and Lex bots, Amazon Connect Contact Center Good to have skills: AWS Lambda and Lex bots, Amazon Connect Join our team of Customer Sales & Service consultants who solve customer facing challenges at clients spanning sales, service and marketing to accelerate business change. Practice: Customer Sales & Service Sales I Areas of Work: Cloud – AWS Cloud – Contact Center Transformation, Analysis and Implementation | Level: Consultant | Location: Delhi, Mumbai, Bangalore, Gurgaon, Pune, Hyderabad and Chennai | Years of Exp: 5-8 years Explore an Exciting Career at Accenture Are you passionate about scaling businesses using in-depth frameworks and techniques to solve customer facing challenges? Do you want to design, build and implement strategies to enhance business performance? Does working in an inclusive and collaborative environment spark your interest? Then, this is the right place for you! Welcome to a host of exciting global opportunities within Accenture Strategy & Consulting’s Customer, Sales & Service practice. The Practice – A Brief Sketch The Customer Sales & Service Consulting practice is aligned to the Capability Network Practice of Accenture and works with clients across their marketing, sales and services functions. As part of the team, you will work on transformation services driven by key offerings like Living Marketing, Connected Commerce and Next-Generation Customer Care. These services help our clients become living businesses by optimizing their marketing, sales and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. As part of these, you will drive the following: Work on creating business cases for journey to cloud, cloud strategy, cloud contact center vendor assessment activities Work on creating Cloud transformation approach for contact center transformations Work along with Solution Architects for architecting cloud contact center technology with AWS platform Work on enabling cloud contact center technology platforms for global clients specifically on Amazon connect Work on innovative assets, proof of concept, sales demos for AWS cloud contact center Support AWS offering leads in responding to RFIs and RFPs Bring your best skills forward to excel at the role: Good understanding of contact center technology landscape. An understanding of AWS Cloud platform and services with Solution architect skills. Deep expertise on AWS contact center relevant services. Sound experience in developing Amazon Connect flows , AWS Lambda and Lex bots Deep functional and technical understanding of APIs and related integration experience Functional and technical understanding of building API-based integrations with Salesforce, Service Now and Bot platforms Ability to understand customer challenges and requirements, ability to address these challenges/requirements in a differentiated manner. Ability to help the team to implement the solution, sell, deliver cloud contact center solutions to clients. Excellent communications skills Ability to develop requirements based on leadership input Ability to work effectively in a remote, virtual, global environment Ability to take new challenges and to be a passionate learner Read about us. Blogs Your experience counts! Bachelor’s degree in related field or equivalent experience and Post-Graduation in Business management would be added value. Minimum 4-5 years of experience in delivering software as a service or platform as a service projects related to cloud CC service providers such as Amazon Connect Contact Center cloud solution Hands-on experience working on the design, development and deployment of contact center solutions at scale. Hands-on development experience with cognitive service such as Amazon connect, Amazon Lex, Lambda, Kinesis, Athena, Pinpoint, Comprehend, Transcribe Working knowledge of one of the programming/scripting languages such as Node.js, Python, Java What’s in it for you? An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions — underpinned by the world’s largest delivery network — Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com About Accenture Strategy & Consulting: Accenture Strategy shapes our clients’ future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our Capability Network – a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Capability Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit https://www.accenture.com/us-en/Careers/capability-network Accenture Capability Network | Accenture in One Word At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, come and be a part of our team. , Experience: Minimum 5 year(s) of experience is required Educational Qualification: Engineering Degree or MBA from a Tier 1 or Tier 2 institute

Unlock Your Creative Potential: Join the Revolution in Hair Perfume as a Star Intern! Imagine being at the forefront of a groundbreaking beauty brand that's redefining how the world experiences scent and style—right from the heart of innovation! We're an exciting new hair perfume startup, fusing luxurious fragrances with cutting-edge hair care to create products that turn heads and ignite senses. If you're a visionary creative eager to skyrocket your career, this is your golden ticket to shape a brand destined for stardom. Join our vibrant, fast-paced team and transform ideas into viral sensations—your contributions could be the spark that launches us into the spotlight! Role Highlights: Where Magic Meets Opportunity Position : Creative Marketing & Graphic Design Intern (Your Launchpad to Beauty Industry Fame!) Duration : 3-6 months (flexible scheduling to fit your life part-time or full-time vibes) Location : Mostly remote bliss (work from anywhere!), spiced up with inspiring in-person collabs at trendy Pune cafes once or twice a week—think brainstorming over lattes in the city's coolest spots Perks & Rewards : Attractive stipend (tailored to your skills and experience) + invaluable portfolio boosters, mentorship from beauty trailblazers, and a real shot at a full-time gig in our growing empire Your Epic Missions: Dive into Hands-On Excitement Branding and Design: Craft a jaw-dropping logo that embodies the soul of our hair perfume revolution—make it iconic and unforgettable! Elevate product packaging to luxurious heights, blending elegance, innovation, and irresistible allure that captivates our dream audience. Content Creation: Weave captivating stories through top-tier writing for our website, blog, and promo magic—your words will enchant and convert! Produce scroll-stopping social media posts, reels, and stories that explode on Instagram, TikTok, and Pinterest, building a loyal fanbase and viral momentum. Digital Marketing and SEO: Fuel game-changing strategies to amplify our brand's reach, turning clicks into devoted customers. Master SEO wizardry to dominate search results, supercharge visibility, and position us as the go-to in beauty trends. What You'll Bring: The Spark We're Craving Enrolled in or fresh out of a program in Marketing, Graphic Design, Communications, or something equally awesome. Wizard-level skills in tools like Adobe Creative Suite (Photoshop, Illustrator) or Canva to bring designs to life. A storytelling genius with writing that hooks, engages, and inspires—bonus if you've got a knack for audience vibes. Proven flair for social media sorcery, especially crafting addictive short-form videos that rack up views. Solid grasp of digital marketing essentials and SEO superpowers (think Google Analytics and keyword mastery). A bold, innovative mind with a burning passion for beauty—startup experience? Amazing, but your enthusiasm is the real MVP! Stellar communication, self-drive, and the ability to thrive in an exhilarating, ever-evolving scene. Why This Gig Will Change Your World Gain insider access to launching a brand from zero to hero—your work will be seen by thousands! Personalized guidance from passionate pros, plus a portfolio that'll dazzle future employers. Ultimate flexibility to juggle studies, side hustles, or whatever fuels you. A buzzing, collaborative vibe where your wildest ideas aren't just heard—they're celebrated and executed! Ready to infuse your creativity into the next big thing in beauty and leave your mark on the hair perfume universe? This isn't just an internship—it's your stage to shine! Shoot us your resume, a standout portfolio (designs, writings, or social gems), and a quick pitch on why you're our perfect match at sereluxgemora@gmail.com. Spots are filling fast—seize the moment and apply today! Job Type: Internship Contract length: 3-6 months Pay: ₹5,000.00 - ₹15,000.00 per month Benefits: Flexible schedule Application Question(s): Describe in brief why you are a good fit for this role? Experience: Content creation: 1 year (Preferred) Location: Pune, Maharashtra (Preferred) Work Location: In person

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Boston Consulting Group’s real estate footprint spans more than 140 offices in over 90 cities across 50+ countries. As we grow and adapt to new ways of working, the workplace plays a pivotal role in driving employee experience, innovation, and sustainability. Global Real Estate (GRE) is BCG’s internal corporate real estate team, responsible for strategy, portfolio planning, capital projects, leasing, and the integration of smart technologies and workplace experience across our global office network (~4.5M RSF). With hubs in Boston, London, Munich, New Delhi, and Singapore, our 35+ member team works closely with senior leadership to ensure our work environments are dynamic, effective, and future-ready. The Global Real Estate Workplace Experience (WX) Team drives the Future of Work at BCG, and is responsible for the vision, strategy, end-to-end experience design, and governance of BCG’s space, technology, and services integration across offices. As the Global Real Estate Workplace Experience Program Senior Manager, you will lead the Workplace Experience design through projects, acting as WX Regional Lead. In this role, you will report to the Global Real Estate Workplace Experience Senior Director and collaborate closely with local offices as well as the Real Estate and Workplace Technology delivery teams. You will translate global strategies related with space, technology, services, and change management into cohesive and holistic experience designs tailored to each office. Additionally, you will serve as the Workplace Experience primary point of contact for internal customers within your region Key Responsibilities Include Delivering an End-to-End Workplace Experience: Ensure the office journey, service offerings, and innovation efforts are well suited to meet evolving business needs Ensuring Governance & Transparency: Foster clear communication and structured governance around offerings, processes, lessons learned on Experience Design, and ongoing innovation initiatives Governing Workplace Demand: Capture, assess, and prioritize requests from business units and local offices to inform the evolving workplace experience and innovation roadmap Drive Strategic Innovation: Identify emerging needs, new use cases, and capability gaps that support asset optimization, ESG objectives, employee experience, and partnering with the Global Real Estate Workplace Experience Strategy Senior Director to manage Ensure alignment with agile Product Portfolios: Guide new demand to support both strategic and incremental innovation, ensuring alignment with agile product portfolio development YOU’RE GOOD AT A Successful Candidate Will Bring The Ability To Translate complexity into clarity: You simplify data, feedback, and trends into clear, actionable insights for diverse audiences Balance strategy and execution: You think long-term while keeping an eye on operational detail, ensuring vision translates into tangible outcomes Collaborate across functions: You work effectively with stakeholders from Project Delivery, Global IT, Office Operations, and beyond, building trust and alignment Serve as trusted advisor and anticipating future needs: You stay ahead of trends, proactively identifying opportunities to improve the workplace experience Manage evolving priorities: You have a consultative and user centric approach to problem solving adapting quickly, prioritize effectively, and stay focused in a dynamic environment Bringing people along the journey: You communicate with empathy and influence, helping others understand and support change What You'll Bring A minimum of a Bachelor’s degree; Master's degree preferred in one of the following fields: Workplace, Innovation Management, Architecture, Operations, IT, Project Management, or related Engineering field; consulting experience a plus A proven track record of success in delivering inspiring, innovative workplaces in international, corporate organizations. Must be able to perform successfully in a fast-paced, intellectually intense, service-oriented environment and to interpret rules and guidelines flexibly to enhance the business and in keeping with BCG’s values and culture Established record of stakeholder management experience, especially effectively communicate innovation strategies to senior leadership Ability to build and develop relationships in a virtual setting and the cultural dexterity to work effectively with colleagues across the globe Independently resolves complex issues/problems, yet appropriately seeks advice and counsel for decisions including key stakeholders Fluency in written and spoken English, including the ability to communicate in a clear & compelling manner. Experience in agile methods and ways of working Strong computer skills and digital collaboration tools, particularly PowerPoint, Miro, Trello, and Excel Who You'll Work With The Global Real Estate Workplace Experience Program Senior Manager will work closely together within the Workplace Experience Team as well as the business and local offices, Global Real Estate Project Delivery Teams, Workplace Technology Teams and agile Product Portfolios. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. 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At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express Team Overview: Global Credit & Model Risk Oversight, Transaction Monitoring & GRC Capabilities (CMRC) provides independent challenge and ensures that significant Credit and Model risks are properly evaluated and monitored, and Anti-Money Laundering (AML) risks are mitigated through the transaction monitoring program. In addition, CMRC hosts the central product organization responsible for the ongoing maintenance and modernization of GRC platforms and capabilities. How will you make an impact in this role? The AML Data Capabilities team was established with a mission to own and govern data across products – raw data, derivations, organized views to cater for analytics and production use cases and to manage the end-to-end data quality. This team comprises of risk data experts with deep SME knowledge of risk data, systems and processes covering all aspects of customer life cycle. Our mission is to build and support Anti-Money Laundering Transaction Monitoring data and rule needs in collaboration with Strategy and technology partners with focus on our core tenets of Timeliness , Quality and process efficiency. Responsibilities include: · Develop and Maintain Organized Data Layers to cater for both Production use cases and Analytics for Transaction Monitoring of Anti-Money Laundering rules. · Manage end to end Big Data Integration processes for building key variables from disparate source systems with 100% accuracy and 100% on time delivery · Partner closely with Strategy and Modeling teams in building incremental intelligence, with strong emphasis on maintaining globalization and standardization of attribute calculations across portfolios. · Partner with Tech teams in designing and building next generation data quality controls. · Drive automation initiatives within existing processes and fully optimize delivery effort and processing time · Effectively manage relationship with stakeholders across multiple geographies · Contribute into evaluating and/or developing right tools, common components, and capabilities · Follow industry best agile practices to deliver on key priorities Implementation of defined rules on Lucy platform in order to identify the AML alerts. · Ensuring process and actions are logged and support regulatory reporting, documenting the analysis and the rule build in form of qualitative document for relevant stakeholders. Minimum Qualifications · Academic Background: Bachelor’s degree with up to 2 year of relevant work experience · Strong Hive, SQL skills, knowledge of Big data and related technologies · Hands on experience on Hadoop & Shell Scripting is a plus · Understanding of Data Architecture & Data Engineering concepts · Strong verbal and written communication skills, with the ability to cater to versatile technical and non-technical audience · Willingness to Collaborate with Cross-Functional teams to drive validation and project execution · Good to have skills - Python / Py-Spark · Excellent Analytical & critical thinking with attention to detail · Excellent planning and organizations skills including ability to manage inter-dependencies and execute under stringent deadlines · Exceptional drive and commitment; ability to work and thrive in in fast changing, results driven environment; and proven ability in handling competing priorities Behavioral Skills/Capabilities: Enterprise Leadership Behaviors Set the Agenda: Ø Ability to apply thought leadership and come up with ideas Ø Take complete perspective into picture while designing solutions Ø Use market best practices to design solutions Bring Others with You: Ø Collaborate with multiple stakeholders and other scrum team to deliver on promise Ø Learn from peers and leaders Ø Coach and help peers Do It the Right Way: Ø Communicate Effectively Ø Be candid and clear in communications Ø Make Decisions Quickly & Effectively Ø Live the company culture and values We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Join Team Amex and let's lead the way together. With a focus on digitization, innovation, and analytics, the Enterprise Digital teams creates central, scalable platforms and customer experiences to help markets across all of these priorities. Charter is to drive scale for the business and accelerate innovation for both immediate impact as well as long-term transformation of our business. A unique aspect of Enterprise Digital Teams is the integration of diverse skills across all its remit. Enterprise Digital Teams has a very broad range of responsibilities, resulting in a broad range of initiatives around the world. The American Express Enterprise Digital Experimentation & Analytics (EDEA) leads the Enterprise Product Analytics and Experimentation charter for Brand & Performance Marketing and Digital Acquisition & Membership experiences as well as Enterprise Platforms. The focus of this collaborative team is to drive growth by enabling efficiencies in paid performance channels & evolve our digital experiences with actionable insights & analytics. The team specializes in using data around digital product usage to drive improvements in the acquisition customer experience to deliver higher satisfaction and business value. About this Role: This role will report to the Manager of Membership experience analytics team within Enterprise Digital Experimentation & Analytics (EDEA) and will be based in Gurgaon. The candidate will be responsible for delivery of highly impactful analytics to optimize our Digital Membership Experiences across Web & App channels. Deliver strategic analytics focused on Digital Membership experiences across Web & App aimed at optimizing our Customer experiences Define and build key KPIs to monitor the acquisition journey performance and success Support the development of new products and capabilities Deliver read out of experiments uncovering insights and learnings that can be utilized to further optimize the customer journey Gain deep functional understanding of the enterprise-wide product capabilities and associated platforms over time and ensure analytical insights are relevant and actionable Power in-depth strategic analysis and provide analytical and decision support by mining digital activity data along with AXP closed loop data Minimum Qualifications Advanced degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science) Strong programming skills are preferred. Some experience with Big Data programming languages (Hive, Spark), Python, SQL. Experience in large data processing and handling, understanding in data science is a plus. Ability to work in a dynamic, cross-functional environment, with strong attention to detail. Excellent communication skills with the ability to engage, influence, and encourage partners to drive collaboration and alignment. Preferred Qualifications Strong analytical/conceptual thinking competence to solve unstructured and complex business problems and articulate key findings to senior leaders/partners in a succinct and concise manner. Basic knowledge of statistical techniques for experimentation & hypothesis testing, regression, t-test, chi-square test. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Position Social Media Marketing Specialist What you’ll own Strategy & Planning: Develop social media plans that hit our brand goals. Content Creation: Craft thumb‑stopping posts—text, images, and short videos. Video Editing: Turn raw clips into polished stories using Canva, CapCut, DaVinci Resolve, Premiere Pro, or similar. Performance Reporting: Track metrics, spot trends, and deliver clear, actionable insights. Trend Scouting: Stay on top of emerging formats and platform updates to spark engagement. Cross‑Team Collaboration: Work with marketing, design, and ops to keep our voice consistent. Ad Campaigns: Plan, launch, and optimize paid social, managing budgets like a pro. Community Engagement: Reply to comments, answer questions, and nurture our followers. Competitor Analysis: Keep tabs on peers and fine‑tune tactics based on what’s working. Candidate Profile You live and breathe social media trends—always curious, always experimenting. You turn numbers into narratives, using data to guide your next move. You communicate with ease, building rapport across teams and with followers. You juggle projects and deadlines without dropping the ball. You sweat the small stuff but never lose sight of the big picture. What this means is you’ll shape CTB’s online voice, push creative boundaries, and keep refining our approach for stronger results. Must‑Have Experience & Skills Bachelor’s in Marketing, Communications, or related field. ( optional ) 1 year of hands‑on social media marketing. Comfort with analytics tools (platform insights, Google Analytics) and schedulers (Hootsuite, Sprout Social, etc.). Strong writing and editing—clear, concise, compelling. Video editing chops in at least one of: Canva, CapCut, DaVinci Resolve, Premiere Pro (bonus points for more). Ready to join us? Send your resume plus links or samples of your social and video work. We can’t wait to see what you’ll create.

AI/ML Engineer Responsibilities: - Design, build, and deploy advanced machine learning models and algorithms to solve complex problems in various domains, such as natural language processing, computer vision, and predictive analytics. - Collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to identify opportunities for leveraging company data to improve business outcomes. - Perform data mining and feature extraction using advanced statistical and machine learning techniques. - Evaluate and validate the performance of machine learning models using appropriate metrics and techniques. - Optimize and fine-tune machine learning models for optimal performance in production environments. - Stay up-to-date with the latest advancements in machine learning and artificial intelligence research. - Contribute to the development of best practices in machine learning and share knowledge with peers and junior team members. - Provide technical leadership and mentoring to other team members as needed. Requirements: - 4+ years of experience in developing and deploying machine learning models in a professional setting. - Strong understanding of various machine learning algorithms, such as linear regression, logistic regression, decision trees, SVM, neural networks, ensemble methods, and reinforcement learning. - Demonstrated experience in working with large datasets and using big data technologies, such as Hadoop, Spark, and distributed computing. - Proficient in programming languages, such as Python. - Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn. - Familiarity with data visualization tools, such as Tableau, Matplotlib, or D3.js. Preferred Qualifications: - Experience in working with cloud platforms, such as AWS, Google Cloud, or Azure. - Knowledge of natural language processing, computer vision, or deep learning techniques. - Experience developing end-to-end machine learning pipelines, from data gathering and preprocessing to model deployment and monitoring.

About the Organization We are one of India’s leading Advanced Metering Infrastructure Service Providers (AMISP), manufacturing over 5 Lakh smart energy meters monthly with in-house capabilities across Design, Development, Validation, Embedded & Application Software, and Managed Software Services. Currently operating at a turnover of ₹600 Cr and expanding aggressively, the organization is poised to enter the Smart Water and Gas Metering domains. This role is based in Kolkata. Position Overview We are looking for a visionary yet hands-on Principal Software Architect to lead our cloud-native application architecture, high-scale data systems, and platform strategy. Ideal candidates will come from a high-velocity, data-rich environment such as e-commerce, travel tech, fintech, or fast-scaling startups. This role blends architecture strategy, engineering leadership, and ownership of critical platform decisions. Designation Principal Software Architect – Cloud & Data Solutions Key Responsibilities Design and govern scalable microservices-based architecture using .NET Core for real-time and high-volume data applications. Ensuring Code Quality: Reviews, Unit Testing, Performance Testing, Integration Testing etc. Architect secure, cloud-native solutions hosted on Multi-Cloud Environment with considerations for data security, performance, and cost. Build, review, and guide teams on high-performance API design, streaming data ingestion, caching, and distributed processing. Lead platform evolution from monolith to event-driven microservices; oversee database and caching strategies. Collaborate closely with Product, Software, Validation, DevOps, Cloud Service Providers, and customer IT teams. Own architectural runway, technical debt management, and system scalability roadmap. Drive system reliability, fault tolerance, CI/CD automation, and observability best practices. Mentor teams on advanced .NET Core practices, clean architecture, testability, and performance. Required Skills & Competencies .NET Core (5+ years hands-on) with advanced knowledge of async programming, API performance, memory management. MCSE Certified or having contemporarily applicable / appropriate Certifications with proven architectural depth in cloud-first systems. Experience handling high-volume data systems, preferably real-time telemetry or event pipelines. Strong grasp of SQL and NoSQL databases – PostgreSQL, MongoDB, Redis, Cassandra etc. Familiarity with event streaming tools (Kafka, RabbitMQ) and big data processing (Spark/Flink optional). Deep understanding of DevOps tooling, containers (Docker), orchestration, and CI/CD pipelines. Exposure to domain-driven design (DDD), clean code, TDD, and secure coding practices. Excellent collaboration and communication skills to align cross-functional teams and client stakeholders. Preferred Experience 10+ years total experience with at least 5–7 years in .NET Core development. Worked in product-based or high-scale service environments like E-commerce, Travel, Logistics, Food Tech industries, allied-Startups etc. Experience in telemetry, IoT, or smart infrastructure is a plus but not mandatory. Track record of owning end-to-end architecture across scalable applications with millions of users or data points. Authority & Impact Final say on technical architecture decisions, tooling choices, and platform modernization roadmap. Authority to define and enforce coding, deployment, and performance standards across development teams. Key representative in technical discussions with customers, cloud partners, and leadership. Ability to influence product scalability, maintainability, and long-term engineering velocity.

Profile - Data Engineer Job Responsibilities The data engineer responsibilities include design, executing, and managing the data pipelines between source systems and Enterprise Data Platform (EDP). The responsibilities of the engineer are as follows: Responsible for the maintenance and support of the data platform. Design, plan and implement modern data pipelines based on industry best practices. Support data integration activities in both functional and non-functional scenarios Identify and resolve data, mapping and visualisation problem tickets across IT and business teams. Expose data to end users through PowerBI Support proof-of-concepts, prototype on new data integrations and onboarding of new systems. Document and maintain technical guidelines and documentation Participate and support annual infrastructure and recovery tests. Requirements Degree in Computer Science, Software Engineering or equivalent Minimum 3 years of working experience as a Data Engineer Experienced in business processing mapping of data and analytics solutions. Experienced in Cloud Data Transformation tools such as Azure Data Factory, Databricks and Azure Synapse Experienced in Azure Data Lake Store Management Proficient in scripting language such as Py-Spark, SQL-Spark, and T-SQL Knowledge in data modelling and database management, such as performance tuning of the Enterprise Data Warehouse, Data Mart, and Business Intelligence Reporting environments Experienced in Azure Dev-Ops processes (including CI/CD) Ability to conduct data profiling, cataloging and mapping for technical design and construction of technical data flows Experienced in Data Governance tools like Unity Catalog / Azure Purview, Master Data Management (MDM) and Data Quality tools and processes Knowledge of business intelligence tools such as Power BI, Tableau, Qlik Knowledge of Big Data stack such as Azure Event Hub, Azure IoT, Azure HDInsight (Kafka, Spark), Azure Cosmos DB & Azure Stream Analytics are a plus. Working experience in SSIS, SSAS, and SSRS are a plus Knowledge in data virtualization concepts using Denodo is a plus Strong critical thinking, problem solving and communication skills

UWorld is a worldwide leader in online test prep for college entrance, undergraduate, graduate, and professional licensing exams throughout the United States. Since 2003, over 2 million students have trusted us to help them prepare for high-stakes examinations. We are seeking a Data Engineer who is passionate about creating an excellent user experience and enjoys taking on new challenges. The Data Engineer will be responsible for the design, development, testing, deployment, and support of our Data Analytics and the Data warehouse platform . Requirement Minimum Experience: Master's/bachelor’s degree in computer science or a related field. 5+ years of experience as a Data Engineer with experience in Data Analysis, ingestion, cleansing, validation, verification, and presentation (reports and dashboards). 3+ years of working knowledge and experience utilizing the following: Python, Spark/PySpark, Big Data Platforms (Data Bricks/Delta Lake), REST services, MS SQL Server/MySQL, MongoDB, and Azure Cloud. Experience with SQL, PL/SQL, and Relational Databases (MS SQL Server/MySQL/Oracle). Experience with Tableau/Power BI, NoSQL (MongoDB), and Kafka is a plus. Experience with REST API, Web Services, JSON, Build and Deployment pipelines (Maven, Ansible, Git), and Cloud environments (Azure, AWS, GCP) is desirable. Job Responsibilities: The software developer will perform the following duties: Understand data services and analytics needs across the organization and work on the data warehouse and reporting infrastructure to empower them with accurate information for decision-making. Develop and maintain a data warehouse that aggregates data from multiple content sources, including NoSQL DBs, RDBMS, Big Query, Salesforce, social media, other 3rd party web services (RESTful, JSON), flat-file stores, and application databases (OLTPs). Use Python, Spark/PySpark, Data Bricks, Delta Lake, SQL Server, Mongo DB, Jira, Git/Bit Bucket, Confluence, Data Bricks/Delta Lake, REST services, Tableau, Unix/Linux shell scripting, and Azure Cloud for data ingestion, processing, transformations, warehousing, and reporting. Develop scalable data pipelines using Data connectors, distributed processing transformations, schedulers, and data warehouse. Understanding of data structures, analytics, data modeling, and software architecture and applying this knowledge to problem solving. Develop, modify, and test algorithms that can be used in scripts to store, locate, cleanse, verify, validate, and retrieve specific documents, data, and information. Develop analytics to understand product sales, marketing impact, and application usage for UWorld products and applications. Employ best practices for code sharing and development to ensure common code base abstraction across all applications. Continuously be up-to-date on industry standard practices in big data and analytics and adopt solutions to the UWorld data warehousing platform. Work with QA engineers to ensure the quality and reliability of all reports, extracts, and dashboards by process of continuous improvement. Collaborate with technical architects, developers, subject matter experts, QA team, and customer care team to drive new enhancements or fix bugs promptly. Work in an agile environment such as Scrum. Soft Skills. Working proficiency and communication skills in verbal and written English. Excellent attention to detail and organization skills and ability to articulate ideas clearly and concisely. Ability to work effectively within a changing environment that is going through high growth. Exceptional follow-through, personal drive, and ability to understand direction and feedback. Positive attitude with a willingness to put aside ego for the sake of what is best for the team.