378 Data Pipelines Jobs - Page 2

You are a Senior Data Platform Engineer responsible for leading the design, development, and optimization of the data platform infrastructure. Your primary focus will be on driving scalability, reliability, and performance across data systems to enable data-driven decision-making at scale. Working closely with data engineers, analysts, and product teams, you will play a crucial role in enhancing the overall data platform. Your responsibilities will include architecting and implementing scalable, secure, and high-performance data platforms on AWS cloud using Databricks. You will be building and managing data pipelines and ETL processes utilizing modern data engineering tools such as AWS RDS, REST APIs, and S3 based ingestions. Monitoring and maintaining production data pipelines, along with working on enhancements, will be essential tasks. Optimizing data systems for improved performance, reliability, and cost efficiency will also fall under your purview. Implementation of data governance, quality, and observability best practices in line with Freshworks standards will be a key focus area. Collaboration with cross-functional teams to support diverse data needs is also a critical aspect of this role. Qualifications for this position include a Bachelor's/Masters degree in Computer Science, Information Technology, or a related field. You should have good exposure to data structures and algorithms, coupled with proven backend development experience using Scala, Spark, or Python. A strong understanding of REST API development, web services, and microservices architecture is essential. Experience with Kubernetes and containerized deployment is considered a plus. Proficiency in working with relational databases like MySQL, PostgreSQL, or similar platforms is required. A solid understanding and hands-on experience with AWS cloud services are also important. Knowledge of code versioning tools such as Git and Jenkins is necessary. Excellent problem-solving skills, critical thinking, and keen attention to detail will be valuable assets in this role.,

As a software engineer at Google, you will play a crucial role in developing cutting-edge technologies that revolutionize the way billions of users worldwide connect, explore, and engage with information. Our projects require handling massive amounts of data and go beyond traditional web search. We are seeking talented engineers who can bring innovative ideas from various domains such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, UI design, and more. You will have the opportunity to work on vital projects that cater to Google's evolving needs, with the flexibility to switch between teams and projects as both you and our dynamic business progress. Versatility, leadership skills, and a passion for tackling new challenges across the entire technology stack are essential qualities we look for in our engineers as we continue to drive technological advancements. In the realm of Google Search, we are reshaping the concept of information retrieval in diverse ways and locations. To achieve this, we must surmount complex engineering obstacles, expand our infrastructure, and uphold a universally accessible and valuable user experience that people across the globe depend on. By joining the Search team, you will have the chance to make a significant impact on billions of individuals worldwide. Your responsibilities will include leading a team of software engineers, providing guidance in planning, design, execution, and mentorship. You will take charge of resolving substantial technical challenges that span multiple teams and components, guiding your team systematically towards solutions. Understanding intricate technical details and facilitating connections between teams to tackle complex technical issues within this domain will be a key aspect of your role. Additionally, you will need to adapt quickly to changes and advancements, ensuring you stay abreast of all progress within the field.,

You will be responsible for leading the migration of SQL-based data warehouses to Snowflake using SnowConvert. Your role will involve analyzing existing SQL code, stored procedures, and ETL jobs to design equivalent Snowflake solutions. Additionally, you will optimize Snowflake performance through best practices in partitioning, clustering, and caching. Collaboration with data architects, analysts, and business stakeholders will be crucial to ensure successful delivery. Providing technical leadership, mentoring, and code reviews within the team is also expected from you. The ideal candidate for this role should possess a strong expertise in Snowflake development and architecture. Hands-on experience with SnowConvert for automated SQL migration is a must. Deep understanding of SQL, procedural logic, and performance tuning is essential. Experience with cloud platforms such as AWS, Azure, or GCP, and data integration tools is required. Excellent problem-solving skills and communication abilities are highly valued. Experience in CI/CD for data pipelines and Snowflake certification will be considered as additional advantages for this position.,

You will be joining Zoca, a company dedicated to revolutionizing the growth process for local businesses. Zoca's AI agents are designed to assist talented beauty professionals in expanding their reach by managing all their marketing needs automatically. With a focus on hyperlocal search optimization, 24/7 lead conversion, and retention campaigns, Zoca has already made a significant impact, having raised $6M in funding led by Accel, helped over 1,000 businesses achieve full booking capacity, and generated more than $10M in revenue for local entrepreneurs. As an AI Product Manager at Zoca, you will have a unique and multifaceted role in the development, optimization, and scaling of one of the core AI agents. Your primary objective will be to elevate the current state of the agent to a world-class, autonomous system that guarantees positive outcomes for local businesses. This position goes beyond the traditional product management role, requiring you to blend elements of product management, AI research, customer advocacy, and execution prowess to enhance the intelligence, reliability, and impact of the AI agents. You will take ownership of either the Lead Generation Agent, Retention/Loyalty Agent, or Local SEO Agent based on your experience and interest. Your responsibilities will include driving the end-to-end development of your assigned AI agent, collaborating with stakeholders to implement customer-centric improvements, optimizing agent performance with the help of ML engineers and data science, working cross-functionally to ship agent enhancements, and strategizing the evolution of your agent over the coming months. Additionally, you will be accountable for tracking and reporting on the impact of your agent through various performance metrics, business outcomes, and customer satisfaction levels. To excel in this role, you should possess 2-4 years of experience in product management, AI/ML product development, or technical program management. Direct experience in building or optimizing AI-powered products is essential, along with a solid understanding of machine learning workflows, model training, and performance optimization. Your ability to collaborate effectively with engineering teams, ship products that address real customer needs, and communicate technical concepts to non-technical stakeholders will be crucial for success. Furthermore, familiarity with LLMs, prompt engineering, conversational AI systems, AI agent frameworks, and automation workflows will be beneficial. Your comfort level with working on APIs, data pipelines, and technical integrations, along with your proficiency in metrics analysis, cross-functional collaboration, and product management, will be integral to driving the growth and impact of the AI agents at Zoca.,

Job Overview The Sr. Engineering Manager/Engineering Manager will oversee the technological direction and strategy of the company. This key executive role requires a blend of strategic vision and technical expertise to align the company&aposs technology with its business goals. The Sr. Engineering Manager/Engineering Manager will lead the technology and product development teams, drive innovation, and ensure the company remains competitive through the adoption of cutting-edge technologies. The Sr. Engineering Manager/Engineering Manager will also collaborate with other senior leaders to create scalable systems, establish high-performance engineering practices, and foster a culture of continuous improvement and technological excellence. Key Responsibilities Technology Strategy: Define and execute the company&aposs technology vision, strategy, and roadmap aligned with business objectives. Leadership & Management: Lead and manage a team of off chain engineers, providing guidance, mentorship, and support to help them achieve their goals and objectives. Innovation & R&D: Identify emerging technology trends and guide the organisation in adopting innovative solutions to drive growth and efficiency. Product & Development: Oversee the development of new products and services, ensuring alignment with customer needs and market demands Collaboration with other functions: Work closely with marketing, sales, and operations teams to ensure seamless integration of technology into the broader business strategy. Budget & Resource Allocation: Manage the technology budget, ensuring that financial resources are allocated effectively to meet organizational goals along with recruiting and onboarding new engineering talent to support the growth and expansion of the team. Performance Review & Feedbacks: Conduct regular performance reviews and provide feedback to team members to help them grow and develop in their roles. Technical Operations: Ensure the reliability, security, and scalability of technology systems and infrastructure. Data Security & Compliance: Maintain and improve cybersecurity practices and ensure compliance with industry standards and regulations. Stakeholder Communication: Regularly update executive leadership, board members, and stakeholders on technological developments, challenges, and opportunities. Qualifications Educational & Professional Background Bachelors or Masters degree in Computer Science, Engineering, or related field (or equivalent experience) 8-13 years of experience in software engineering, prototyping, product innovation or events platform Experience in taking a 0 to 1 journey into scaling a startup and building team Technical Expertise Proficient in at least one primary programming language (e.g., JavaScript, Typescript, Go, etc.) Demonstrated ability to quickly pick up new languages and frameworks (e.g., Go, React, Node.js, TensorFlow, etc.) Familiarity with on-chain products and work on-chain is a significant plus Familiarity with AI/ML, data pipelines, or cloud infrastructure is a plus Innovation & Experimentation Mindset Proven track record of rapid prototyping, hackathons, or personal side projects Comfortable with failure, able to pivot quickly, and thrive in a fast-changing environment Ability to balance short-term experimentation with long-term product vision Collaboration & Communication Excellent communication skills, capable of distilling complex ideas into clear recommendations Experience working in cross-functional teams and presenting ideas to stakeholders Growth & Curiosity High level of intellectual curiosity and desire to keep learning Ability to research, adapt, and implement new technologies ahead of the curve Preferred Qualities Experimental Mindset: You focus on learning fast rather than chasing perfection from day one. Curiosity: You always ask, Why and What if Technical Range: You can quickly move from writing front-end code for a new feature to spinning up a simple backend service. Bias for Action: Youd instead build, test, fail, and iterate than debate. Show more Show less

We are looking for a highly motivated and skilled Python Data Science Professional to join our dynamic Production Management AIOps team. In this role, you will leverage data science techniques and Python to develop innovative solutions that optimize production processes, enhance predictive capabilities, and integrate AI/ML models into operational workflows. The ideal candidate is a passionate data scientist with a strong understanding of Python's data science ecosystem, experience in building and deploying machine learning models, and a desire to work with large datasets in a fast-paced, collaborative environment. Responsibilities: Data Analysis & Modeling: - Analyze large, complex datasets to identify trends, patterns, and anomalies. - Develop and implement machine learning models using Python libraries to address business challenges related to production optimization, predictive maintenance, and anomaly detection. - Evaluate and refine model performance, ensuring accuracy and reliability. - Deploy and maintain machine learning models in production environments. Data Engineering & Pipelines: - Design and implement data pipelines to collect, process, and transform data from various sources. - Work with structured and unstructured data, ensuring data quality and integrity. - Collaborate with data engineers to integrate data science solutions into existing systems. Visualization & Communication: - Create clear and compelling visualizations to communicate data insights to technical and non-technical audiences. - Present findings and recommendations to stakeholders, effectively conveying the value of data-driven solutions. Collaboration & Continuous Learning: - Participate actively in agile development processes, collaborating with other data scientists, engineers, and product managers. - Stay up-to-date with the latest advancements in data science, machine learning, and AI. - Contribute to a positive and collaborative team environment by sharing knowledge and supporting colleagues. Qualifications: Technical Skills: - 5+ years of proven experience as a Data Scientist or similar role, with a strong focus on Python. - Proficiency in Python and essential data science libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch. - Experience with statistical modeling, machine learning algorithms, and data mining techniques. - Strong data visualization skills using libraries like Matplotlib, Seaborn, or Plotly. - Experience with data engineering tools and techniques such as SQL, Spark, and cloud-based data warehousing solutions. - Knowledge of version control systems like Git. - Familiarity with agile development methodologies. Soft Skills: - Excellent problem-solving and analytical skills. - Strong communication and interpersonal skills. - Ability to work independently and as part of a team. - Ability to manage multiple tasks and prioritize effectively. - Passion for data science and a desire to learn and grow. Education: - Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.,

We are seeking an experienced Lead Data Engineer with a strong proficiency in Google BigQuery and a working knowledge of Looker to provide support for a data modernization project. In this role, you will be responsible for leading efforts to revamp data architecture, optimize data pipelines, and meet reporting requirements. Additionally, you will play a key role in mentoring an internal client developer to ensure a seamless transition post-engagement. As a Lead Data Engineer, your responsibilities will include assessing and enhancing existing data models, pipelines, and architecture within BigQuery. You will focus on optimizing data flows and storage for improved performance, scalability, and cost-efficiency, while implementing best practices in data engineering and governance. You will also be tasked with reviewing and enhancing data collection and transformation processes to ensure high-quality, consistent, and reliable data availability. Furthermore, you will be responsible for enhancing and maintaining existing reports and dashboards using Looker, as well as designing and developing new reports based on evolving business requirements. Collaboration with business and technical stakeholders is essential in this role. You will work closely with stakeholders to gather data and reporting needs, and translate business requirements into technical deliverables. Additionally, you will guide and mentor the internal client developer, ensuring a smooth handover for long-term maintainability after the project's completion. The ideal candidate will possess strong experience in Google BigQuery, data modeling, query optimization, and performance tuning. Proficiency in building and managing data pipelines, ETL/ELT workflows, and solid SQL skills are crucial for this role. Experience with Looker for creating/modifying dashboards and understanding LookML, as well as familiarity with version control (e.g., Git) and CI/CD for data solutions, are also required. Moreover, the ability to work in Agile environments and with remote teams is necessary. Exposure to GCP services beyond BigQuery (e.g., Dataflow, Cloud Functions) and soft skills such as excellent communication, interpersonal skills, and proven ability to work independently in a client-facing role, are highly valued. Experience in mentoring or coaching team members is considered a plus. In summary, the successful candidate for this role will have a solid technical foundation in data engineering, Google BigQuery, Looker, and related tools, along with excellent communication skills and the ability to work effectively in a collaborative environment.,

As a Full-Stack Developer with 1 to 4 years of experience, you will be responsible for developing scalable and high-performance applications using JavaScript, TypeScript, Node.js, React, Angular, and Redux. You will have hands-on experience in creating microservice architectures, serverless architectures, data pipelines, and message queue systems. Additionally, you will work with both NoSQL and RDBMS databases and have proficiency in containerization using Docker and Kubernetes. Your key skills will include expertise in JavaScript and TypeScript, with a focus on building front-end applications using Angular or React. You should be competent in Node.js and have experience with frameworks like Express.js or Sails.js. Familiarity with Python or Go programming languages is preferred, as well as practical experience in designing microservice architectures and MonoRepo structures. You will be required to lead technical architecture discussions, design solutions, and have a strong understanding of software design and architecture patterns to create robust and scalable solutions. Holding an AWS or Azure certification with experience in cloud development services is a must for this role. Desired capabilities and preferable areas include hands-on experience with GenAI projects, LLM frameworks, and GenAI tools across the development lifecycle. Proficiency in Python programming, excellent communication skills, and the ability to work as a self-driven individual contributor to ensure high-quality deliverables are also important qualities for this position.,

Who We Are Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest growing company in Africa. Since 2019, Moniepoints technology has powered over 3 million people, offering personal and business banking, payment, credit, and business management tools to help them succeed. Moniepoint processed $182 billion in 2023 and currently processes most of the POS transactions in Nigeria. About The Role As an Engineering Manager at Moniepoint, you will manage and guide a dynamic engineering team that crafts solutions that challenge the industry. You will take the roadmap from your product/business manager and define the technical road, manage the implementation architecture to deployment. You will be your craft guide for the engineers you will orchestrate the day-to-day operations of the team across the entire stack. Your team will consist of frontend engineers, backend engineers, and data engineers, each coming from a different background as we strive for global expansion in talent. Be prepared to be a critical thinker from an eagle-eye view all the way down to being able to review merge requests and help solve coding problems. Curious about what makes Moniepoint an incredible place to work Check out posts on how we cultivate a culture of innovation, teamwork, and growth. What Youll Get To Do Ensure rapid and high-quality execution of your team, shipping products at a fast pace. Scale our back-end services to handle millions of customers and address challenges associated with operating at this scale. Make critical decisions on database structure, providing guidance to your engineers, and serving as a leader in ensuring best practices are taken in product development. Navigate dependencies in a fast-paced environment with a significant focus on at least 60% hands-on support for your team. Collaborate with senior leadership and various departments to ensure seamless product launch and post-launch support. Hold technical deep dives, architecting the next phases of development, and driving the overall development of the product. Work with data pipelines, algorithms, and automated systems to enhance product capabilities. Translate product requirements into architectural documents and diagrams. Maintain architectural documents and ensure they are always updated to reflect the current state of the application. Make architectural decisions concerning any feature thats to be added to an application. Ensure that the architectural direction of an application is in line with the strategic direction of the product. Perform code reviews and ensure efficient code engineering. Ensure applications are implemented using software engineering best practices. Responsible for the stability and reliability of products under your purview. Create and enforce processes that will improve developer efficiency and productivity. Take an active role in scaling the team, interviewing, and hiring engineers. To succeed in this role, you should have At least 8 - 10 years of experience as a Software Developer, Software Engineer, or similar role. Proficiency in any modern programming language - what matters most is your ability to write clean, efficient, and maintainable code. Exposure to building and shipping products at scale. A proven track record of managing all aspects of a successful product lifecycle. The ability to assess and address technical risks. A solid technical background with hands-on experience in software development. Excellent knowledge of software and application design, and architecture. Excellent knowledge of UML and other modeling methods. Understanding of software quality assurance principles. A technical mindset with great attention to detail. BSc/BA in Computer Science, Engineering, or a related field Generic Skills Problem-solving: Ability to assess complex problems, find solutions, and make sound decisions. Communication: Strong written and verbal communication skills, including technical documentation and stakeholder reporting. Adaptability: Able to thrive in a fast-paced, changing environment, adjusting strategies as needed. Attention to Detail: Meticulous in documenting technical requirements and ensuring all aspects of a project are accounted for. Supervisory Skills Team Management: Experience in managing and mentoring engineers, ensuring team growth and performance. Resource Allocation: Ability to assess bandwidth and manage resource distribution to optimize team performance. Feedback: Conduct regular performance reviews, providing constructive feedback and fostering a growth-oriented environment. Stakeholder Management: Lead project status reviews, manage expectations, and ensure smooth communication between teams and leadership. What We Can Offer You Culture - We put our people first and prioritize the well-being of every team member. Weve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. Compensation - Youll receive an attractive salary, pension, health insurance, paid leave, plus other benefits. What To Expect In The Hiring Process A preliminary phone call with the recruiter. A take-home coding exercise. A technical panel interview session with the Engineering Team (Coding and System Design). A technical panel interview session with the Engineering Team (Depth of Architecture, Infrastructure, Databases). A leadership and product panel interview with the Program Manager. Cultural Fit Interview with the Business and Functional Lead Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates. Show more Show less

About Cognite Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging AI and data to unravel complex business challenges through our cutting-edge offerings including Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year. In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future. Learn More About Cognite Here Cognite Product Tour 2024 Cognite Product Tour 2023 Data Contextualization Masterclass 2023 Our values Impact : Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves. Ownership : Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success. Relentless : Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth. Agent framework architecture and development The Industry Innovation and Solutions Team enriches and augments Cognite products and platforms by developing pathways to product by creating innovative solutions, repeatable templates, and frameworks. The team comprises cross-functional and cross-technology experts responsible for delivering advanced domain and technology advisory services that drive the success of customer engagements. This team plays a pivotal role in landing initial offerings and integrating Cognite Products with tailored services, ensuring that our solutions meet the evolving needs of our clients and driving customer success. The team maintains a keen awareness of the competitive and partnering ecosystem, providing strategic insights that address key business and technical challenges our customers face. The team is deeply involved in programs to improve operational efficiency, repeatability, and scalability. Software Engineers within the team develop software components, implement Cognite software and products and enable our delivery resources to execute projects more effectively, thereby enhancing the overall success of our engagements. We are seeking a highly skilled and innovative Software engineer with expertise in Generative AI and associated technologies to join our team in Bangalore. In this role, you will be responsible with a strong emphasis on designing, developing, and implementing cutting-edge generative AI solutions that drive business innovation and enhance customer experiences. for developing a cutting-edge multi-agent framework based solution built on top of our Cognite Data Fusion and Cognite Atlas AI and additional ecosystem advanced AI technologies. This role will enable our clients to deploy intelligent agents that can autonomously interact with, manage, and optimize complex industrial processes by leveraging the power of knowledge graphs, AI, and evolutionary algorithms. The ideal candidate will have deep expertise in AI agents, multi-agent systems, and a wide range of generative AI technologies and frameworks. As a Software Engineer, you will collaborate closely with cross-functional teams to understand business requirements, translate them into technical specifications, and architect scalable AI solutions that integrate seamlessly with existing systems. You will collaborate with Product, Global Customer Success and Sales to drive the development of AI frameworks, and tools, focusing on generative AI, AI agents, and the latest AI technologies. Additionally, you will provide technical leadership, mentor software engineers, and stay ahead of the latest trends in AI to ensure our solutions remain at the forefront of the industry. Your contributions will be critical in developing AI agents that can autonomously execute tasks, adapt to changing environments, and interact effectively with users and other systems, leveraging the latest advancements in AI & generative AI. A typical day as a Cogniter will contain the following tasks & responsibilities As a Software Engineer, you will collaborate with solutions architects and global delivery teams to develop solutions and applications on Cognite products and platform Integrations are well thought out and robust Important quality criteria for the solution are met (E.g. CI/CD, logging, security) Develop technology components in alignment with the overall technical solution and ensure technical fit within the customer ecosystem and target architecture Design integration and data model using Cognite data connectors, Cognite platform components, SQL, Python/Java and Rest APIs Design, develop, and implement generative AI solutions with a strong focus on AI agents, multi-agent systems, and the latest generative AI technologies to drive business innovation and enhance customer experiences. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for generative AI solutions. In collaboration with Solutions architects, develop scalable AI solutions, including AI agents, that integrate seamlessly with existing systems and leverage cutting-edge technologies. Develop and deploy AI agents capable of autonomous task execution, environment adaptation, and effective interaction with users and systems, utilizing the latest generative AI frameworks and models. Vector Database Proficiency: Knowledge of vector databases like Pinecone, Milvus, Weaviate, or Faiss, including their architecture and use cases. Vector Embedding Creation: Experience in generating vector embeddings from textual, visual, or other data using common industry models. Skills in creating, managing, and optimizing indexes for efficient similarity search within vector databases, including knowledge of ANN search algorithms. Data Ingestion and Querying: Proficiency in ingesting large datasets into vector databases and writing optimized queries for complex similarity searches. Scaling and Performance Tuning: Ability to scale vector databases to handle large datasets and optimize search performance through resource management and index tuning. Document Retrieval and Prompt Engineering: Skills in designing effective document retrieval strategies and crafting prompts that leverage retrieved documents in the generation process. Data Pipeline and Deployment: Expertise in managing data pipelines for RAG systems, from ingestion to retrieval and generation, and deploying RAG systems at scale. We Believe Most Of These Should Match Your Experience 2 to 5+ years of experience in software engineering, with a focus of at least 2+ years in AI and 1+ years on Generative AI, machine learning, or intelligent systems. Proven experience in developing and deploying multi-agent systems, preferably using frameworks like LangChain. (Mandatory experience) Experience with knowledge graphs, graph databases, or related technologies. RAG Architecture Understanding: In-depth knowledge of Retrieval-Augmented Generation (RAG) systems, integrating retrieval with generative models to produce informed responses. Model Integration and Fine-Tuning: Experience in integrating and fine-tuning pre-trained models with retrieval systems in RAG pipelines for enhanced performance Proficiency in Python, JavaScript, or other relevant programming languages. Deep understanding of multi-agent frameworks, including agent communication, decision-making, and learning strategies. Familiarity with cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes). Experience with API development and integration. Strong problem-solving skills and the ability to think critically about complex systems. Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. Ability to work in a fast-paced, collaborative environment and manage multiple priorities. Experience in the industrial sector or with industrial data. (Not mandatory) Knowledge of big data technologies (e.g., Hadoop, Spark) and real-time processing frameworks. Data Handling and Storage: Proficiency in reading and writing data in various formats (CSV, JSON, SQL) and using storage tools like SQLite and SQL databases. Join the global Cognite community! ???? Join an organization of 70 different nationalities ???? with Diversity, Equality and Inclusion (DEI) in focus ???? Office location Rathi Legacy (Rohan Tech Park ) Hoodi (Bengaluru) A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @ cognitedata ???? to know more Flat structure with direct access to decision-makers, with minimal amount of bureaucracy Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries Join our HUB ????? to be part of the conversation directly with Cogniters and our partners. Hybrid work environment globally Why choose Cognite ???? ???? Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC&aposs top global enterprise technology startups powering digital transformation ! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader ! ???? Most recently Cognite Data Fusion Achieved Industry First DNV Compliance for Digital Twins ???? Apply today! If you&aposre excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. We encourage you to follow us on Cognite LinkedIn ; we post all our openings there. Show more Show less

As a Delivery Manager/Solution Architect specializing in Google Dialogflow and CCAI, you will be responsible for utilizing your 12+ years of experience to design and deliver cutting-edge solutions in a hybrid role based in Bangalore, Pune, Gurugram, or Noida. Your primary qualifications include a Bachelor's degree in computer science, engineering, information technology, or a related field, along with at least 6 years of progressive experience in software development or technical consulting. You should have a minimum of 3-5 years of hands-on experience in designing and implementing Google CCAI solutions, specifically focusing on CCAI Agent Assist and Dialogflow (ES/CX). A deep understanding of Natural Language Understanding (NLU), Natural Language Generation (NLG), and conversational AI principles is essential. You should possess strong proficiency in at least one programming language such as Python, Node.js, or Java for custom integrations and fulfillment logic. Extensive experience with Google Cloud Platform (GCP) services relevant to AI/ML and data pipelines is required. Additionally, you must have a proven track record of integrating Dialogflow solutions with various channels like Genesys, Twilio, and Google Contact Center AI Partner Integrations. Demonstrated experience in leading complex, cross-functional technical projects from inception to completion is crucial. Your excellent communication, presentation, and interpersonal skills will be essential in effectively conveying complex technical concepts to non-technical stakeholders. Strong analytical, problem-solving, and decision-making abilities are also key traits for this role. Preferred qualifications for this position include a Master's degree in a relevant field, Google Cloud Professional Cloud Architect or Machine Learning Engineer certification, and experience with other Google AI services like Text-to-Speech, Speech-to-Text, and Vertex AI. Familiarity with other contact center technologies and CRM platforms such as Salesforce Service Cloud and Zendesk is beneficial. Experience with pre-sales activities, including solutioning, effort estimation, and client presentations, is a plus. A solid understanding of IT security, data privacy (e.g., GDPR, CCPA), and compliance best practices within a contact center context is highly desirable. Ideally, you should have experience working in an Agile/Scrum environment to effectively manage projects and deliver high-quality solutions.,

About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, its powered by the anime content we all love. Join our team, and help us shape the future of anime! About The Role We are hiring a Data Engineering Manager to join our India Operations and play a crucial role in our mission to establish a world-class data engineering team within the Center for Data and Insights (CDI). Reporting directly to the Director of Data Engineering, you will be a key contributor, advancing our data engineering capabilities in the AWS and GCP ecosystems. Your responsibilities include collaborating with the data team and implementing various projects across data architecture, data lake infrastructure, data and ML job orchestration. Your contributions will ensure the consistency and reliability of data and insights, aligning with our objective of enabling well-informed decision-making. The ideal candidate will demonstrate an empathetic and service-oriented approach, fostering a thriving data and insights culture while enhancing and safeguarding our data infrastructure. This role presents a unique opportunity to build and strengthen our data engineering platforms at a global level. If you are an experienced professional with a passion for impactful data engineering initiatives and a commitment to driving transformative changes, we encourage you to explore this role. Joining us as a Data Engineering Manager allows you to significantly contribute to the trajectory of our CDI, making a lasting impact on our data-centric aspirations as we aim for new heights. Core Areas of Responsibility Serve as the go-to expert for data engineering best practices, architecture, and emerging technologies. Provide strategic guidance on data platform modernization, scalability, and governance. Stay ahead of industry trends, ensuring the team adopts cutting-edge solutions. Lead technical training sessions, upskilling engineers on advanced data engineering concepts. Foster a culture of continuous learning, encouraging innovation and experimentation. Act as a trusted advisor to cross-functional teams, ensuring alignment between business and technical goals. Represent the data engineering function in executive discussions, advocating for scalable solutions. Collaborate with product, analytics, and engineering teams to drive data-driven decision-making. Define and enforce data governance policies, ensuring compliance and security. Design and optimize high-performance data pipelines, ensuring efficiency and reliability. Troubleshoot complex data challenges, providing expert-level solutions. Guide the team in evaluating new tools and technologies, balancing innovation with stability. About You We get excited about candidates, like you, because... 5+ years of hands-on experience in data engineering and software development, plus 3+ years of management experience. Deep understanding of data architecture, pipelines, and governance. Strong problem-solving skills for optimizing data systems. Knowledge on how to use BI tools like Tableau, Superset, and so on Experience in managing large-scale data sets, handling Terabytes of data and billions of records effectively (across structured and unstructured datasets) Good understanding of implementing compute and orchestration tools like Databricks, Airflow, and others. Good experience leveraging AWS services, including EMR Spark, Redshift, and S3 among others. Nice to have exposure to GCP services like BigQuery, Google Storage, Looker, Google Analytics, and so on Nice to have experience in event data collection tools such as Snowplow, Segment, Google Tag Manager, Tealium, or mParticle. Ability to translate complex technical concepts into actionable insights. Willingness to explore emerging technologies. About The Team Center for Data and Insights (CDI) is a service oriented horizontal organization that is uniquely positioned within the company to be the trusted and unbiased source of timely data-based insights for Crunchyroll. Our vision is to inspire, support and guide our stakeholders to be data-aware and build the systems of intelligence to discover insights and act on them. We have built a highly functional organization that truly believes in being a responsive partner, with the utmost curiosity, unwavering accountability and the courage to lead with actions. About Our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value Courage. We believe that when we overcome fear, we enable our best selves. Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. Kaizen. We have a growth mindset committed to constant forward progress. Service. We serve our community with humility, enabling joy and belonging for others. Our commitment to diversity and inclusion Our mission of helping people belong reflects our commitment to diversity & inclusion. It&aposs just the way we do business. We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan&aposs Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation. Questions about Crunchyrolls hiring process Please check out our Hiring FAQs: https://help.crunchyroll.com/hc/en-us/articles/360040471712-Crunchyroll-Hiring-FAQs Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: https://tbcdn.talentbrew.com/company/22978/v1_0/docs/spe-jobs-privacy-policy-update-for-crpa-dec-21-22.pdf Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly from @crunchyroll.com email account. Show more Show less

As a Senior Data Solution Analyst within the Data & Analytics Office in Mumbai/Thane, your primary role is to implement cutting-edge data marts and data solutions that align with the business requirements. These solutions will be developed within and outside the Data Analytics Office, falling under the Data Management practices. Your key responsibility lies in providing innovative data solutions to address daily business challenges. A crucial aspect of your role involves understanding source systems databases and constructing data pipelines for Data Lake and Cloud solutions. Your responsibilities will include: - Demonstrating a strong understanding of data management practices, data quality, data development framework, and the latest technology stack within the SDLC. - Engaging in data mart design, framework optimization, and enhancing data practices, processes, standards, and rules. - Designing and deploying ETL data pipelines/rules and establishing monitoring mechanisms. - Analyzing data concerns/issues, collaborating with business stakeholders to address them, and devising effective solutions. - Leveraging knowledge of new-generation tech stack technologies to enhance data mart solutioning. - Collaborating with the team to bring data expertise to the Data Analytics office. Additionally, you will be expected to have a minimum of 8 to 14 years of experience in the Data Management office, preferably within the Banking domain. Your managerial and leadership responsibilities will include: 1) Leading a team of 2-5 developers effectively. 2) Demonstrating a strong grasp of the technology stack. 3) Possessing techno-functional knowledge and delivery leadership qualities. Your success in this role will be measured by: - The successful implementation of Data Solution and Management frameworks across business lines, particularly in Retail Banking and Cards Domain. - Delivering effective data solutions that address business problems efficiently.,

As a Tech Lead - Analytics & Data Products at Swiggy, you will be an integral part of the Analytics team with a focus on developing data products and solutions that leverage machine learning to drive operational excellence and business impact. With 6-8 years of experience in analytics, data science, or related fields, you will have the opportunity to lead medium-sized technical teams and collaborate with cross-functional teams to enhance data product reliability and accuracy. You will be responsible for designing, developing, and deploying data products that enhance insight generation and improve decision-making capabilities across the organization. Your expertise in machine learning techniques, such as regression and classification, will be utilized to develop robust and scalable ML models for various business needs. In addition to focusing on data products and machine learning integration, you will play a key role in driving operational excellence within the analytics team. This includes streamlining workflows, increasing team productivity, and ensuring operational efficiency in analytics processes. Working closely with data engineering teams, you will optimize data pipelines and infrastructure to enhance accuracy, reliability, and scalability. As part of your responsibilities, you will design and measure experiments to test business hypotheses and establish the right metrics frameworks to track progress toward goals. Your role will also involve building user-friendly automated solutions for root cause analyses and empowering internal teams with self-service analytics capabilities. In this position, you will set high benchmarks for technical execution, lead the roadmap for analytics solutions, and mentor team members for skill-building and impactful delivery. Your strong communication and collaboration skills will be essential in leading the team towards success. Join Swiggy's Analytics team to make a significant impact by leveraging your expertise in analytics, data products, machine learning, and operational excellence.,

As an MDM (Master Data Management) SaaS and On-Prem Engineer, you will be responsible for designing, implementing, and supporting robust MDM systems that ensure seamless integration between on-premises and cloud platforms. Your expertise in MDM tools, data modeling, integration, and governance will be crucial in managing complex data ecosystems effectively. Your key responsibilities will include: - Designing, implementing, and supporting MDM solutions across SaaS and on-premise platforms to maintain a unified view of master data. - Configuring and customizing MDM tools to meet business requirements and ensure compatibility across environments. - Developing and maintaining master data models for various domains such as customers, suppliers, products, and financial data. You will also be tasked with implementing and managing integrations between SaaS MDM platforms and on-premise systems, developing data pipelines, APIs, and ETL workflows, and collaborating with IT and business teams to ensure seamless data flow and system interoperability. Additionally, you will be responsible for establishing and enforcing data governance policies, implementing data quality rules and tools, monitoring the performance of MDM systems, and optimizing workflows and processes for data ingestion, cleansing, and integration. Your role will also involve collaborating with stakeholders, providing training and support to end-users, ensuring compliance with data privacy regulations, maintaining comprehensive documentation of MDM processes, and identifying opportunities for process improvements and automation. To qualify for this role, you should have at least 5 years of hands-on experience in MDM implementation and support, proficiency in MDM tools and technologies for both SaaS and on-premise environments, strong analytical and problem-solving skills, and excellent communication and collaboration abilities. Certifications in MDM tools, cloud platforms, and data governance or data quality would be advantageous. Overall, this position requires a proactive individual with a deep understanding of MDM solutions and technologies, a commitment to data integrity and system performance, and the ability to effectively communicate technical concepts to non-technical stakeholders while collaborating with cross-functional teams to deliver successful MDM solutions.,

The Data, Analytics, Reporting and Tools (DART) team is a core unit serving all of Global Operations with a mandate to enhance decision-making by maximizing data analytics capabilities to transform information into insights and better outcomes. This data and analytics-driven approach plays a pivotal role within Operations to enable how projects are delivered, confirming to goals related to on-time, on-budget, and with the highest levels of customer satisfaction. Under the direction of department and company leadership, you will implement and maintain a comprehensive suite of metrics and key performance indicators (KPIs) to monitor functional, departmental, customer, product, and project-level execution. Your expertise in data visualization and analytics will be utilized to develop dynamic online reports for monitoring and forecasting operational performance. Your key accountabilities will include studying, analyzing, and understanding business requirements in the context of business intelligence. You will build and optimize data pipelines using Python, Spark, and SQL to prepare data for analysis. Developing and implementing machine learning models to identify patterns, anomalies, and opportunities for automation will be part of your responsibilities. You will create interactive dashboards and visualizations using BI tools that effectively communicate key insights. Collaborating with the service delivery team, you will create data visualization and reporting solutions. Identifying and tracking relevant metrics that provide meaningful business intelligence, designing and creating dynamic online reports using SQL, XML, MS Power Bi, and/or Qlik Sense, and partnering with the technical development team in the design of the database and data structures to optimize reporting of data are also essential tasks. You will be required to make decisions on the best technical approach to implement communicated and/or documented requirements. Your knowledge and skills will be utilized to derive solutions that meet service delivery needs and expectations. To be successful in this role, you must have a Master's degree in computer science, mathematics, statistics, programming, a related degree, or equivalent work experience. You should have 6+ years of advanced SQL, Python, Spark for large-scale data processing, 5+ years of experience in data analytics and advanced data visualization tools using BI tools, and familiarity with cloud computing platforms. Additionally, you should possess a deep understanding of Jira or ServiceNow or Financial Force and SDLC process, metrics, and measures, as well as the ability to communicate effectively to senior management teams. If you are someone who thrives in a fast-paced environment, has a continuous learning mindset, and excels at presenting data insights through effective visualizations, we would love to hear from you! Please submit your CV and a cover letter to apply for this role.,

About Junglee Games: With over 140 million users, Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 1000 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglees mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job overview: As our Data Scientist III, you will be a key driver of strategic and tactical data science projects. Youll partner closely with Product, Marketing, and Engineering teams to influence decisions and optimize outcomes using data, models, and experimentation. Job Location: Gurgaon Key Responsibilities: Lead complex analytics projects end-to-end: problem scoping, data wrangling, modeling, validation, and communication. Develop and deploy statistical models and machine learning solutions to improve core metrics (e.g., retention, monetization, user segmentation, etc.). Own experimentation and causal inference for product features (A/B testing, uplift modeling, etc.). Translate business problems into quantitative solutions and drive product and marketing roadmap with data insights. Collaborate with Data Engineering to design scalable data pipelines and ML deployment workflows. Qualifications & skills required: 57 years of experience in data science, preferably in B2C, gaming, consumer tech, or related industries. Strong foundation in statistics, probability, and machine learning (classification, regression, clustering, time-series, etc.). Hands-on experience with Python/R and SQL. Experience with tools like Airflow, Spark, DBT, or similar is a plus. Experience designing and analyzing experiments (A/B testing, DoE). Strong problem-solving mindset with a focus on impact and ownership. Excellent communication skills; ability to simplify complex findings for non-technical stakeholders. Be a part of Junglee Games to: Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www.jungleegames.com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite24 Liked what you saw so far Be A Junglee Show more Show less

You should have a minimum of 5 years of IT experience with a good understanding of analytics tools for effective data analysis. You must have prior experience working in production deployment and production support teams. It is essential to have hands-on experience with Big Data tools such as Hadoop, Spark, Apache Beam, and Kafka. Proficiency in object-oriented/object function scripting languages like Python, Java, C++, Scala, etc., is required. Additionally, experience with any Data Warehousing tools like BQ, Redshift, Synapse, or Snowflake is preferred. You should possess expertise in ETL processes and Data Warehousing concepts. A strong understanding and experience with both relational and non-relational databases like MySQL, MS SQL Server, Postgres, MongoDB, and Cassandra are necessary. Experience working with cloud platforms like GCP and workflow management tools such as Apache Airflow is a plus. Preferred qualifications include knowledge of design best practices for OLTP and OLAP Systems, participation in database and pipeline design, exposure to load testing methodologies, debugging pipelines, and handling delta loads, as well as experience in heterogeneous migration projects. As part of your roles and responsibilities, you will be responsible for developing high-performance and scalable solutions using GCP for extracting, transforming, and loading big data. You will design and build production-grade data solutions from data ingestion to consumption using Java/Python. Additionally, you will design and optimize data models on GCP cloud utilizing GCP data stores like BigQuery, handle deployment processes efficiently, and optimize data pipelines for performance and cost in large-scale data lakes. Your tasks will also include writing complex and optimized queries across large datasets, creating data processing layers, collaborating closely with Data Engineers to identify the right tools for delivering product features through POC, and interacting with business stakeholders, BAs, and other Data/ML engineers as a collaborative team player. Moreover, you will be expected to research new use cases for existing data.,

The Legal Analytics lead (Vice President) will be a part of AIM, based out of Gurugram and reporting into the Legal Analytics head (Senior Vice President) leading the team. You will lead a team of information management experts and data engineers responsible for building Data Strategy by identifying all relevant product processors, creating Data Lake, Data Pipeline, Governance & Reporting. Your role will involve driving quality, reliability, and usability of all work products, as well as evaluating and refining methods and procedures for obtaining data to ensure validity, applicability, efficiency, and accuracy. It is essential to ensure proper documentation and traceability of all project work and respond timely to internal and external reviews. As the Data/Information Management Sr. Manager, you will achieve results through the management of professional team(s) and department(s), integrating subject matter and industry expertise within a defined area. You will contribute to standards around which others will operate, requiring an in-depth understanding of how areas collectively integrate within the sub-function and coordinate and contribute to the objectives of the entire function. Basic commercial awareness is necessary, along with developed communication and diplomacy skills to guide, influence, and convince others, including colleagues in other areas and occasional external customers. Your responsibilities will include ensuring volume, quality, timeliness, and delivery of end results of an area, and you may also have responsibility for planning, budgeting, and policy formulation within your area of expertise. Involvement in short-term planning resource planning and full management responsibility of a team, which may include management of people, budget and planning, such as performance evaluation, compensation, hiring, disciplinary actions, terminations, and budget approval. Your primary responsibilities will involve supporting Business Execution activities of the Chief Operating Office by implementing data engineering solutions to manage banking operations. You will establish monitoring routines, scorecards, and escalation workflows, overseeing Data Strategy, Smart Automation, Insight Generation, Data Quality, and Reporting activities using proven analytical techniques. It will be your responsibility to document data requirements, data collection, processing, cleaning, process automation, optimization, and data visualization techniques. You will enable proactive issue detection, escalation workflows, and alignment with firmwide Data Related policies, implementing a governance framework with clear stewardship roles and data quality controls. You will also interface between business and technology partners for digitizing data collection, including performance generation, validation rules for banking operations. In this role, you will work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies, such as a Centralized data repository with standardized definitions and scalable data pipes. You will identify and compile data sets using a variety of tools (e.g., SQL, Access) to help predict, improve, and measure the success of key business outcomes, implementing rule-based Data Quality checks across critical data points, automating alerts for breaks, and publishing periodic quality reports. You will develop and execute the analytics strategy for Data Ingestion, Reporting / Insights Centralization, ensuring consistency, lineage tracking, and audit readiness across legal reporting. As the ideal candidate, you will have 10-15 years of experience in Business Transformation Solution Design roles with proficiency in tools/technologies like SQL, SAS, Python, PySpark, Tableau, Xceptor, Appian, JIRA, Sharepoint, etc. Strong understanding of Data Transformation, Data Modeling, Data Strategy, Data Architecture, Data Tracing & Lineage, Scalable Data Flow Design, Standardization, Platform Integration, and Smart Automation is essential. You should also have expertise in database performance tuning and optimization for data enrichment and integration, reporting, and dashboarding. A Bachelors or Masters degree in STEM is required, with a Masters degree being preferred. Additionally, you should have a strong capability to influence business outcomes and decisions in collaboration with AIM leadership and business stakeholders, demonstrating thought leadership in partner meetings while leading from the front to drive innovative solutions with excellent stakeholder management. Your excellent verbal and written communication skills will enable you to communicate seamlessly across team members, stakeholders, and cross-functional teams.,

This position of Sr. QA in Pune involves providing support to an IT organization for the development, implementation, and support of complex systems adhering to Floor & Decors systems standards. The role requires creating and executing quality assurance frameworks, tools, and practices to enhance product deployments and customer satisfaction. To be eligible for this role, you must have a Bachelor's degree in Information Technology or Computer Science or relevant experience equivalent to the required education. A minimum of four to seven years of software quality assurance experience is necessary, along with 3+ years of software quality assurance automation experience. Proficiency in QA automation tools like Selenium, Appium, and Robot Framework is essential. Experience with JMeter or similar performance testing tools is also required. The ideal candidate should be able to work on multiple projects simultaneously at various development and testing stages. They should possess excellent problem-solving skills, effective communication skills, attention to detail, organizational skills, and the ability to work in a fast-paced environment. Preferred qualifications for this position include expertise in writing test plans and test cases across multiple projects, proficiency in programming languages like Java and Python, and experience in automated testing using Robot Framework. Additionally, familiarity with CI/CD pipelines, AI/ML-based QA enhancements, Agile methodologies, cross OS/browser and multi-device testing, API testing tools, database testing, and automated testing artifacts is preferred. The essential functions of this role include assisting in the development and management of automation frameworks, mentoring team members on tools and processes, coordinating multiple projects for the QA group, recommending automated test approaches, ensuring QA standards are maintained, and creating and executing manual and automated test plans. The Sr. QA is also responsible for reviewing test results, documenting defects, communicating complex technical information to non-technical stakeholders, and ensuring that products meet defined requirements for usability and performance. It is crucial for the candidate to demonstrate competence with testing tools, processes, and standards and apply them effectively to projects. The ability to quickly learn and adapt to new tools and technologies is also essential for this role.,

As a Product Manager at Google, you will play a crucial role in shaping products that impact millions of users worldwide. Your responsibilities will involve guiding products from ideation to launch by bridging the gap between technical aspects and business objectives. Your ability to break down complex problems into actionable steps will be key in driving product development and innovation. You will collaborate cross-functionally with various teams including engineering, UX/UI, sales, and finance to ensure the successful development and launch of data platforms that drive AI/ML innovation. Your role will involve defining and delivering product roadmaps, leading the discovery and development of new features, and translating business requirements into technical specifications. Your expertise in software development and experience in working with cloud-based data platforms will be valuable assets in this role. Additionally, your understanding of AI/ML concepts such as machine learning algorithms, data architectures, and data pipelines will enable you to contribute effectively to the development of cutting-edge technologies. As part of the Product Management team at Google, you will be responsible for conducting market research, identifying trends, and collaborating with stakeholders to tailor solutions to meet user needs. Your ability to communicate effectively with engineers, data scientists, executives, and customers will be essential in driving product success and ensuring alignment with business goals.,

As a Data Engineer at Zebra, you will play a crucial role in understanding the technical requirements of clients and designing and constructing data pipelines to fulfill those requirements. In addition to developing solutions, you will also supervise the development of other Engineers. Strong verbal and written communication skills are necessary to effectively interact with clients and internal teams. The role demands a solid understanding of databases, SQL, cloud technologies, ecosystems like Databricks and GCP, version control tools such as Github, and modern data integration and orchestration tools like Databricks workflows on Azure/GCP and Airflow. Knowledge of Agentic AI frameworks like Langchain or tools like Crewai is considered a plus. Your responsibilities will include actively participating in the design and implementation of data platforms for AI products, constructing productized and parameterized data pipelines that fuel AI products using GPUs and CPUs, writing efficient data transformation code in Spark (Pyspark, Spark SQL) and Dask, developing workflows to automate data pipelines using Python, creating data validation tests to evaluate input data quality, adhering to best practices of Unit testing and Integration testing, conducting performance testing and profiling of code, building data pipeline frameworks to automate high-volume and real-time data delivery, operationalizing scalable data pipelines to support data science and advanced analytics, optimizing customer data science workloads, and managing cloud services costs and utilization. Knowledge of the Retail/CPG Domain is advantageous. For qualifications, a minimum of a Bachelors, Master's, or Ph.D. Degree in Computer Science or Engineering is required. You should have at least 1+ years of experience programming in languages like Python, Scala, or Go, 1+ years of experience in SQL and data transformation, 1+ years of experience developing distributed systems with open-source technologies like Spark and Dask, and 1+ years of experience with relational or NoSQL databases in Linux environments (MySQL, MariaDB, PostgreSQL, MongoDB, Redis). Experience in AWS/Azure/GCP environments, data models in the Retail and Consumer products industry, agile projects, learning new technologies quickly, excellent verbal and written communication skills, working in innovative and fast-paced environments, collaborating in diverse teams, teleworking, and achieving stretch goals are essential competencies. Please note that to protect candidates from fraudulent activity, Zebra's recruiters will only contact you via @zebra.com email accounts. Applications are exclusively accepted through the applicant tracking system, and personal identifying information is only collected through that system. The Talent Acquisition team will not request personal information via email or outside the system. If you encounter identity theft issues, contact your local police department.,

As a Senior Technical Manager at Best Buy, you will ensure the quality and integrity of the Software Development Life Cycle (SDLC) for your team. You will identify opportunities for improvement in how the team works and implement recommended tools and practices to enhance efficiency. Solving highly complex issues by applying sound technical approaches will be a key aspect of your role. Collaborating with Product and Experience Design (XD) partners, you will set the team's objectives and key results. Clear communication of context, setting expectations, and promoting a culture of inclusion and diversity are essential responsibilities. Understanding and evaluating the consequences and risks of changes, along with designing and building solutions with impacts across multiple teams, will be part of your daily tasks. Participating in code and architecture reviews, discussing trade-offs, and keeping the team focused on quality and regular releases are crucial aspects of your role. Collaborating with other teams to find creative solutions to customer issues and participating in production support will help in achieving overall team goals. Your role will also involve providing technical guidance on issues spanning multiple projects, evaluating and recommending libraries and frameworks, and staying current with industry trends by researching new technologies. Managing individual performance, coaching, mentoring, and encouraging development plans will be necessary for team growth and success. In terms of qualifications, you should have at least 7 years of relevant technical professional experience with a bachelor's degree or equivalent. Additionally, you should have 2+ years of experience managing and leading engineering teams, 5+ years of hands-on experience in designing data lakes, and actively driving tech debt reduction. Knowledge of cloud computing services, excellent communication skills, and familiarity with data security measures are also required. Preferred qualifications include experience in an omni-channel retail environment, staying updated with the latest trends in data engineering and analytics, and expertise in data engineering tools such as SQL, Airflow, DBT, PowerBI, and Tableau. Proficiency in programming languages like Python, Scala, or Java will be an added advantage. Join Best Buy's team in fulfilling the purpose of enriching lives through technology. Contribute to humanizing and personalizing tech solutions for various stages of life, both online and in Best Buy customers" homes. Embrace a culture that values diversity, empowers employees to make a difference, and provides unique career possibilities. At Best Buy, tomorrow works here.,

As a Data Scientist at London Stock Exchange Group (LSEG), you will have the opportunity to join the dynamic Innovation & Intelligence Team within the Data & Analytics Operations function. This team comprises data scientists, engineers, and analysts who collaborate to deliver impactful automation and AI solutions that enhance operational performance across the organization. Working in an agile and collaborative environment, you will partner closely with Engineering and D&A Operations teams to shape the technology roadmap and drive innovation. The mission of the team is to accelerate value delivery while building scalable, future-ready capabilities. In this role, you will design and implement automation solutions using AI/ML techniques to solve real-world business challenges. Collaborating with cross-functional teams, you will gather requirements and translate them into working prototypes and production-ready tools. Building and testing Proof of Concepts (POCs) and Minimum Viable Products (MVPs) will be part of your responsibilities to validate new ideas and approaches. You will also be involved in developing and maintaining data pipelines, inference workflows, and other automation components. Continuous learning and application of emerging technologies to enhance solution effectiveness are key aspects of the role. Additionally, you will contribute to a culture of innovation, experimentation, and continuous improvement. The ideal candidate for this position will have proven experience in AI/ML solution development, preferably in a fast-paced or enterprise environment. Strong programming skills in Python and demonstrated ability to use SQL for complex data tasks are essential. Hands-on experience with cloud platforms such as AWS, Azure, or GCP is required. The ability to think analytically and solve complex problems with creativity and rigour is important, along with excellent communication skills to articulate technical concepts to diverse audiences. A proactive mindset, eagerness to learn new tools and techniques, and a commitment to inclusion and accessibility are also desired qualities. LSEG is an equal opportunity employer that celebrates diversity and is committed to creating an inclusive environment for all employees. The organization values integrity, partnership, excellence, and change, which underpin its purpose of driving financial stability, empowering economies, and enabling sustainable growth. Working at LSEG means being part of a global organization of 25,000 people across 65 countries, where individuality is valued, and employees are encouraged to bring their true selves to work. The culture at LSEG is collaborative and creative, with a focus on sustainability across the global business. The organization plays a critical role in re-engineering the financial ecosystem to support and drive sustainable economic growth by accelerating the just transition to net zero, enabling growth of the green economy, and creating inclusive economic opportunity. In addition to offering a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives, LSEG is committed to data privacy and encourages all candidates to read the privacy notice before submitting their application. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of the privacy notice.,

As an Associate Manager at Red Hat Experience Engineering (XE) in the XE AI and Data team, you will play a crucial role in leading and developing a new team dedicated to enhancing AI capabilities across associate and customer experiences. Your responsibilities will include guiding the team's career development, coaching, and mentoring team members in a technical, fast-paced environment. You will be expected to drive measurable impact by extending the use of AI capabilities and enhancing XE's foundational data assets, from governance to reporting strategy to cross-company data pipelines. Your daily tasks will involve using Open Management Principles to lead the team effectively, ensuring the delivery of expected outcomes aligned with XE AI and Data priorities, and overseeing day-to-day activities. You will promote continuous professional and personal development among team members, foster a customer-centric mindset, and enhance problem-solving capabilities within the team. Collaboration with various teams within Red Hat, including Product Engineering, Business Units, Quality Engineering, Documentation group, Sales function, Solution Architects, and marketing teams, will be essential to support the team's growth and impact. In addition to leading engineering and technical project or program teams for at least 2 years, you should have experience in building and scaling new teams and managing program/project teams in a technical environment. Your solid analytical skills and problem-solving mindset will be crucial in evaluating situations effectively. Effective communication with project teams, engineers, and managers will be essential in driving success in this role. Preferred skills for this position include understanding or experience with Artificial Intelligence solution development, terms, and concepts. Red Hat is a global leader in enterprise open source software solutions, fostering a diverse and inclusive environment where employees are encouraged to contribute their best ideas, regardless of their title or tenure. Red Hat's culture is centered around transparency, collaboration, and inclusion, empowering individuals from various backgrounds to come together, share ideas, challenge norms, and drive innovation. Red Hat supports equal opportunity and inclusivity, providing reasonable accommodations to individuals with disabilities during the job application process. If you require assistance completing the online job application, you can email application-assistance@redhat.com. Join Red Hat in celebrating diversity and innovation as we strive to create an open and inclusive environment for all.,