3411 Data Engineering Jobs - Page 2

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As an EY GDS Consulting Manager, you will manage and contribute technically and functionally to GRC Technology client engagements and internal projects. You will identify potential business opportunities for EY within existing engagements and escalate these as appropriate. You will also anticipate and identify risks within engagements and share any issues with senior members of the team. The opportunity: We are looking for a seasoned Platforms engineer with experience in GRC/IRM modules, responsible for evaluating, recommending, and building out customer requirements on GRC platforms using defined best practices for configuration and development. This role requires a high level of functional GRC expertise with exposure and understanding of various GRC platforms like Archer & ServiceNow, strategic thinking, and the ability to lead conversations and projects. This is an excellent opportunity to be part of a leading firm while being instrumental in the growth of the service offering. Your Key Responsibilities: - Lead requirement gathering and/or review clients" process requirements and how they align with GRC Platforms, driving platform expansion and adoption. - Scope solution requirements and configure solutions around the platform to meet customer needs and project deliverables. - Design solutions to include integration of AI/Gen AI/Microservices for document/data/access management, 3rd party integrations, and cloud environment management and monitoring. - Define and implement IT architecture and data pipelines tailored for risk and GRC technologies. - Evaluate and select appropriate technologies and tools for data ingestion and normalization. - Create end-to-end automated solutions including technical implementation of IT Infrastructure Library (ITIL) processes, workflow customization, process automation, report development, dashboard creation, and system configurations. - Identify new opportunities to provide additional value to clients and improve business performance. - Ensure all implementation work is carried out in accordance with company policies and industry best practices. - Lead business development activities including written proposals, presales activities, functional demonstrations, and presentations. - Develop and maintain productive working relationships with client personnel. - Plan and monitor project deliverables from the team. - Mentor the project team in executing identified projects. Skills And Attributes For Success: - Conduct performance reviews and contribute to performance feedback for staff and senior staff. - Foster teamwork, quality culture, and lead by example. - Understand and follow workplace policies and procedures. - Train and mentor project resources. - Participate in organization-wide people initiatives. To qualify for the role, you must have: - 7+ years industry experience, leadership experience - leading larger teams, and completion of at least 2 to 3 engagements/projects in a similar role. - Demonstrated ability to map solutions to address client business issues and problem statements. - Functional knowledge and implementation experience of GRC frameworks working directly with customers and clients. - Experience in IT solution architecture and understanding of enterprise architecture. - Strong understanding of ITIL processes. - Exceptional problem-solving capability and ability to think strategically. - Excellent interpersonal and communication skills. - Experience in strategy, business development, finance, and budgeting desirable. - Good understanding of GRC technology platforms including Archer, ServiceNow. Ideally, you should also have: - B.E/B.Tech (Comp. Science, IT, Electronics, Electronics & Telecommunications)/MBA with a minimum of 7+ years of experience with other Big3 or panelled SI/ITeS companies. - Robust understanding of program and project management practices. - Familiarity with a typical IT systems development life cycle. - Knowledge of industry standards and regulations related to risk and compliance. - Knowledge and experience of GRC/IRM modules. - Experience in GRC roadmap review, vendor comparison, and selection. - Exposure to multiple GRC tools like MetricStream, Enablon, etc. would be an added advantage. What We Look For: A team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment with consulting skills. An opportunity to be part of a market-leading, multi-disciplinary team of 1400+ professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries. What Working At EY Offers: At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: - Support, coaching, and feedback from some of the most engaging colleagues around. - Opportunities to develop new skills and progress your career. - The freedom and flexibility to handle your role in a way that's right for you. EY | Building a better working world: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

You have a great opportunity as an MLOps Engineer with the following responsibilities: With over 5 years of experience in Data Engineering and MLOps, you will be responsible for deploying and managing data science pipelines in production environments. Your strong proficiency in Python programming language, coupled with at least 3 years of exposure in this field, will be key to your success. Experience with Spark/PySpark and other distributed computing frameworks will also be crucial in this role. Your hands-on experience with CI/CD pipelines and automation tools will be essential. You will be expected to deploy a use case in production that leverages Generative AI involving prompt engineering and RAG Framework. Familiarity with Kafka or similar messaging systems is a plus. As a problem-solver, you will need to have strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior. Attention to detail and effective communication with diverse clients and stakeholders are also important aspects of this role. To qualify for this position, you should have a Bachelor's or Master's degree in computer science, engineering, or a related field. Tier I/II candidates are preferred. If you are ready to take on this exciting opportunity, apply now!,

At PwC, our teams in Scaled Engineering Services are dedicated to delivering reliable, scalable, and cost-effective technology solutions that enable clients to achieve operational excellence and business agility. These teams apply technical expertise and a strong service-oriented mindset to support the design, development, deployment, and maintenance of enterprise-grade IT systems and applications. Professionals in engineering management roles will design and implement technology solutions to meet clients" business needs. You will leverage your experience in analysing requirements, developing technical designs to enable the successful delivery of solutions. Driven by a passion for engineering excellence and scalable design, you lead with purpose, guiding teams to deliver high-quality solutions that meet complex client needs. You take ownership of defining reliable solutions ensuring technical integrity and enabling successful delivery through hands-on leadership and mentorship. By leveraging your expertise in backend systems, cloud-native technologies, and infrastructure best practices, you coach team members, maximize their strengths, and foster a culture of continuous improvement all while aligning solutions with business goals and delivery commitments. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: - Take ownership of technical solutions and technical delivery, ensuring successful planning, estimation, execution, and deployment of complex IT initiatives. - Collaborate with project and engineering leads to drive shared accountability for technical quality, delivery timelines, and overall solution outcomes. - Mentor and guide developers and engineers, sharing solution insights and promoting best practices across the team. - Use code and design reviews as a platform to elevate team capabilities and encourage continuous technical growth. - Proactively address technical challenges, leading difficult conversations with clarity and professionalism, and escalating issues when necessary. When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you'll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You'll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills. As part of the Software and Product Innovation team, you will lead the development of modern applications and drive innovative engineering solutions. As a Manager, you will oversee engineering teams, fostering a culture of ownership and continuous improvement while delivering reliable and scalable solutions. This role offers the chance to work with advanced technologies and collaborate with cross-functional teams to deliver impactful projects that align with business goals. Responsibilities: - Lead the development and implementation of modern applications - Supervise engineering teams to promote successful project execution - Foster a culture of accountability and continuous enhancement - Collaborate with cross-functional teams to align projects with business objectives - Utilize advanced technologies to drive innovative engineering solutions - Assure the delivery of scalable and dependable solutions - Mentor team members to encourage professional growth and development - Analyze project outcomes to identify areas for improvement What You Must Have: - Bachelor's Degree in Computer Science, Information Technology, Engineering - 12 years of experience - Strong hands-on experience in building modern applications using Java, .NET, Node.js, Python, or similar technologies - Solid understanding of data engineering concepts such as data pipelines, ETL workflows, and working with large datasets - Good grasp of cloud-native solutions and experience with platforms like AWS, Azure, or GCP - Strong understanding of DevOps principles including CI/CD, infrastructure as code, containerization, and monitoring - Proven leadership in managing engineering teams and delivering reliable, scalable solutions - Ability to work in agile environments and manage delivery across sprints and releases - Familiarity with solution design, API integration, and secure development practices - Ability to engage with technical and solution architects to understand design goals and contribute practical implementation insights - Excellent communication, team mentoring, and problem-solving skills - Oral and written proficiency in English required What Sets You Apart: - Bachelor's Degree in Engineering or Technology with relevant specialization - Proven experience in software delivery ownership - Overseeing data engineering project implementations - Guiding DevOps practices for system reliability - Collaborating with architects on design validation - Leading engineering teams with technical guidance - Managing cross-functional coordination for project delivery - Monitoring project health and delivery metrics - Driving a culture of accountability and improvement,

As a Senior Software Development Engineer/Lead specializing in Machine Learning at Media.net, you will be part of a leading online ad-tech company that develops cutting-edge products for advertisers and publishers. With a comprehensive portfolio of advertising technology spanning search, native, display, mobile, local, products, and video, Media.net manages high-quality ad supply on over 500,000 websites worldwide, licensed by some of the industry's largest players. Our company, with key operations in North America, Europe, and Asia, prides itself on being one of the largest contextual advertising companies globally, with headquarters in New York and Dubai. We are dedicated to addressing the industry's most complex challenges by leveraging behavioral and contextual data to drive precision and performance at scale. Your responsibilities will include designing and implementing state-of-the-art Generative AI models and predictive machine learning pipelines tailored to AdTech applications. You will analyze and process large-scale datasets to extract insights for intelligent decision-making in real-time environments, building and maintaining scalable ML systems that deeply integrate into our bidding, targeting, and ad optimization engines. To excel in this role, you should bring 6-8 years of proven experience in GenAI, such as LLMs, transformers, and diffusion, as well as predictive ML models like XGBoost, deep learning, and time series analysis. Proficiency in Python, PyTorch or TensorFlow, and experience with data engineering for ML are essential, along with expertise in handling large-scale datasets in distributed computing environments. You will collaborate closely with product, data, and engineering teams to deploy models in a fast-paced, experimentation-heavy environment. Taking ownership of your models from research and prototyping to deployment and performance monitoring, you will combine technical rigor with a broad understanding of system-level impact to make high-quality architectural decisions. Ideally, you possess a startup mindset, showing a bias for action, comfort with ambiguity, and the ability to thrive under rapid iteration cycles. A Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, or a related field is required, and experience with real-time systems, ad exchanges, DSPs, or programmatic advertising is a plus. By joining Media.net, you will have the opportunity to work on real-world GenAI and ML challenges that impact millions of dollars in ad revenue. You will collaborate with a tight-knit, elite engineering team, solving meaningful problems at scale, while enjoying high ownership, fast iterations, and the freedom to innovate.,

As a Principal Software Engineer at Fanatics in the Platforms organization, you will be pivotal in driving data-driven decision-making by creating foundational capabilities that enable our application and data engineers, as well as data scientists, to harness the potential of data. You will be at the forefront of enhancing the fan experience through various exciting projects spanning across different domains. Your responsibilities will involve architecting and designing direct-to-consumer (D2C) and business-to-business (B2B) commerce applications with workloads distributed across a multi-cloud topology to engage fans worldwide. You will also be responsible for building and managing scalable and reliable data storage solutions, handling real-time data pipelines with high throughput and low latency, coordinating complex data processing workflows efficiently, ensuring secure and efficient communication between applications, analyzing massive datasets with speed and accuracy, and providing a centralized repository for historical data. Moreover, you will play a crucial role in enabling fast and interactive data analysis for on-the-fly insights, building and maintaining a robust platform to support the development and deployment of impactful machine learning models for areas such as recommender systems and inventory intelligence. In this role, you will have the opportunity to lead technical innovation, drive large initiatives, and mentor junior engineers within the organization. You will contribute to building scalable solutions that empower the entire company to make data-driven decisions and operate more effectively. Key Responsibilities: - Design and drive the technical roadmap for the evolution of platforms to ensure scalability and reliability. - Lead large initiatives, collaborating with cross-functional teams effectively. - Provide mentorship and guidance to junior engineers, fostering their growth. - Build data platforms promoting standardization and data democratization. - Develop and maintain AI/ML infrastructure supporting Fanatics" needs with a focus on MLOps practices. - Champion data and AI governance best practices and build strong cross-functional partnerships. Qualifications: - 13+ years of experience in developing cloud-based applications and integrating them into a common data platform. - Deep technical understanding of distributed systems architecture and operational system integration. - Strong expertise in the big data ecosystem and tools like Apache Kafka, Spark, Airflow, AWS S3, data modeling, etc. - Proven experience in data processing, orchestration, data engineering, and governance. - Excellent communication skills and ability to collaborate effectively. - Experience with AI/ML platforms is a strong plus. Fanatics is a global digital sports platform that aims to ignite the passions of sports fans worldwide. Join us in enhancing the fan experience and delighting sports fans globally through innovative solutions and cutting-edge technology.,

LSEG (London Stock Exchange Group) is a prominent provider of financial markets infrastructure worldwide, offering financial data, analytics, news, and index products to a vast customer base spanning over 170 countries. Committed to excellence, we collaborate with our customers throughout the trade lifecycle to assist them in making informed decisions, executing trades, raising capital, and optimizing their operations. With a rich history of over three centuries, cutting-edge technologies, and a global team of 25,000 professionals across 60 countries, we are dedicated to promoting financial stability, driving economic empowerment, and fostering sustainable growth. In the role of Group Director of Software Engineering, you will be responsible for designing and implementing functionalities with a focus on Data Engineering tasks. Your primary tasks will involve working with semi-structured data to ingest and distribute it on a Microsoft Fabric-based platform, thereby modernizing data products and distribution channels. You will play a pivotal role in driving the software development lifecycle for continuous data delivery and spearheading the evaluation and adoption of emerging technologies. Key Responsibilities: - Collaborate closely with Subject Matter Experts (SMEs) and Tech Leads to ensure delivery on commitments - Develop and maintain secure and compliant production data processing pipelines on Microsoft Fabric and Azure for data ingestion, transformation, and product delivery - Ensure high-performing, efficient, organized, and reliable data pipelines and data stores based on business requirements and constraints - Design, implement, monitor, and optimize data platforms to meet the needs of data pipelines from both functional and non-functional perspectives - Undertake data-related implementation tasks encompassing provisioning data storage services, ingesting streaming and batch data, implementing security requirements, defining data retention policies, identifying performance bottlenecks, establishing monitoring and telemetry, and accessing external data sources - Design and operationalize large-scale enterprise data solutions and applications utilizing Azure data and analytics services such as Delta.io, Lakehouse, Fabric, Azure Cosmos DB, Azure Data Factory, Spark, and Azure Blob storage, among others Skills and Experience: - Relevant experience in Data Platforms within the Financial Services industry and familiarity with Azure's PaaS/SaaS offerings - Proven expertise as a data engineer with a focus on cloud distributed data processing platforms like Spark and modern open table concepts such as delta/iceberg - Strong proficiency in Azure services including Synapse Analytics, Data Factory, Data Lake, Databricks, Microsoft Purview, and others - Proficiency in Spark, SQL, and Python/Scala/Java - Experience in building Lakehouse architecture using open-source table formats like delta and parquet, along with tools like Jupyter Notebook - Strong understanding of security processes utilizing Azure Key Vault, IAM, RBAC, Monitor, etc. - Proficient in integrating, transforming, and consolidating data from diverse structured and unstructured data systems to build analytics solutions - Ability to think strategically while effectively managing day-to-day delivery requirements - Strong communication, presentation, documentation, and interpersonal skills - Capable of working independently in a fast-paced environment with changing requirements and priorities Join us at LSEG, a leading global financial markets infrastructure and data provider, where our core values of Integrity, Partnership, Excellence, and Change guide us in driving financial stability, empowering economies, and fostering sustainable growth.,

You will be responsible for the continuous development of products in the Analytics Software Domain. Your tasks will include developing software based on User Stories, conducting Unit Tests, and documenting your software to ensure understanding by other team members and departments. You will be actively involved throughout the product life cycle. As part of the team, you will adhere to the scaled agile way of working, which involves participating in daily standups and retrospectives. You will also play a key role in coaching junior- and medior-developers, sharing your expertise, and taking ownership of team results. Supporting other team members in delivering the committed backlog will be a collaborative effort. Staying updated with the latest evolutions in software development and applying them in a practical manner will be essential. You will follow the proposed development guidelines and tools while contributing to best practices in software development within the Development Chapter. Qualifications: - Bachelor's degree in engineering (Electronics/Electrical/Computer) or a related field. - Minimum of 8 years of relevant experience in software engineering practices, including OO languages, clean code, and CI/CD. - Experience with agile software development methodologies is advantageous. - Prior experience as a technical lead providing technical guidance to a team. - Deep knowledge in dotNET and Data Engineering. - Good understanding of Angular. - Strong analytical and problem-solving skills with great attention to detail. - Ability to work autonomously and collaboratively with cross-functional teams. - Pro-active mindset with a willingness to take initiative within the team. - Eagerness to learn and challenge the status quo. - Professional proficiency in English. This role offers an exciting opportunity to contribute to the development of cutting-edge products in the Analytics Software Domain, utilizing your expertise in software engineering practices and agile methodologies. Join our team and be part of a dynamic environment where continuous learning and innovation are encouraged.,

At Improzo, we are dedicated to improving life by empowering our customers through quality-led commercial analytical solutions. Founded by seasoned industry leaders, we have a dynamic team of experts in commercial data, technology, and operations who collaborate to shape the future. As a Senior Product Engineering Manager/Associate Director at Improzo, you will play a pivotal role in leading the development of our next-generation Analytics Platform with AI-Apps for the Life Sciences industry. In this role, you will leverage your technical expertise in Python, AI/ML, and data analytics to design and deliver a modern AI-first Analytical Apps platform. You will lead a team of engineers in building a platform that empowers users to solve key problems across the Life Sciences value chain by integrating AI Apps and actionable insights. Additionally, you will collaborate with product managers, architects, and business stakeholders to define the technical vision, strategy, and roadmap for the Analytics Platform. Key Responsibilities: - Design and deliver a modern AI-first Analytical Apps platform for the Life Sciences Industry. - Lead Platform Development, CI/CD/DevOps, Quality, Data Engineering, and ML Development & Ops. - Manage a team of software engineers specializing in Python (Django), data engineering, and AI/ML. - Collaborate with stakeholders to drive the integration of AI/ML capabilities into the Analytics Platform for advanced insights. - Ensure the platform provides robust capabilities for data exploration, analysis, visualization, and reporting. - Foster a collaborative, innovative, Agile, and high-performing engineering culture. - Provide technical guidance, mentorship, and career development support to team members. - Drive engineering best practices, code quality, and technical excellence within the team. - Participate in the recruitment and onboarding of new engineering talent. - Stay updated on the latest trends and technologies in analytics and artificial intelligence. Qualifications: - Bachelor's or master's degree in computer science or related disciplines. - 7+ years of product development experience leading engineering teams in a product-focused environment. - Proficiency in Python, data processing, analysis, backend development, and front-end technologies. - Strong understanding of data warehousing concepts, ETL/ELT processes, and data modeling. - Experience with cloud-based data platforms and services. - Expertise in integrating AI/ML models into applications and building agents. - Hands-on experience with CI/CD tools, containerization, monitoring, and logging tools. - Knowledge of pharmaceutical or biotech industry regulations and compliance requirements. - Strong problem-solving, analytical, and decision-making skills. - Strong leadership, mentoring, and coaching skills. Benefits: - Competitive salary and benefits package. - Opportunity to work on cutting-edge Analytics projects in the life sciences industry. - Collaborative and supportive work environment. - Opportunities for professional development and growth.,

Join the SculptSoft Voyage At SculptSoft, our people come first. We cultivate talent and it shows in everything from what we design and create, to what we value and believe. Grow With Us Our staff's career path and professional journey are equally important to us as our clients" delivery satisfaction and quality. Rather than coercing them into becoming the best at something, we believe in making the best of every individual's unique quality. We Let You Bloom We allow every individual to take the time they need to get into the zone where they can perform their best. We also believe in providing all the required training and prerequisite knowledge to make sure they feel confident in what they do. Along with periodic training sessions, our team of experts is always happy to guide you whenever you need them. We Believe in Balance We believe in a healthy work-life balance, which is why we are a 5-workdays organization. Moreover, we plan our work in a way that does not end up with our team having to work during the non-working hours every time because we truly believe that the more you are away from your screens during the non-working hours, the more efficient you will be during your work hours. We Believe in Bringing Out the Best We believe in giving our best because that's all we can do, give our best! We have incorporated this very philosophy in our work habits as well, thus ensuring that we enjoy what we do. No achievement is small, and we celebrate all your achievements with much gusto! We never miss an opportunity to recognize every individual's efforts, contributions, and good work. Let us be a part of your professional journey Let us get to know each other! In the first conversation, the HR team will get to know you and your needs/expectations and will introduce us well. This is to determine if we can be a suitable fit for each other on a high level. Let us get to know your technical skills! In the second meeting, our respective technical experts will try to understand your technical skills and expertise. In this meeting, we will determine if we are a suitable fit for each other in terms of the technical aspect of the opening/position. Let us get to a win-win state! In our final meeting, we will share the detailed work profile, the high-level future career path of yours with us. In this meeting, we will determine how we can be in a win-win state that too not just financially but work-wise too. Employee Benefits - Medical Insurance - Open Door Policy - Competency Development - Learn from the experts - Career advancement opportunities - Appreciations and Rewards - Goal setting and accountability - Flexible Time - Work-Life Balance - Referral Bonus - Cultural Events and Sports What Our Team Says About Us: Employees Thoughts Current Openings Currently no Vacancies. - Senior Java Engineer - Senior Python Engineer - Mid-level Python Engineer - Project Manager - QA Automation Engineer - Sr. Frontend Developer - Data Engineer - Data Scientist - Senior Backend Engineer - QA Engineer (Manual & Automation) - Senior Data Engineer (Azure) - Senior DevOps Engineer - Xamarin Developer - Senior .Net Developer,

You should hold a Bachelors or masters degree in mathematics, Statistics, Data Science, Computer science/engineering or a related field. With 5 to 6 years of experience in data science, analytics, AI/ML, and model deployment end to end. Having experience in the financial services or stock market domain is a plus. You will be responsible for leading a team of 2 junior team members and should have a proven record in delivering business outcomes through data-driven insights and analytics/data science. Proficiency in Python, Pyspark, SQL, data engineering, and time series data analysis is required. A sound knowledge of Generative AI is essential for this role. Additionally, excellent communication skills, problem-solving abilities, and a curious mindset to drive business outcomes are highly valued.,

At Systech Solutions, Inc., a data and analytics firm specializing in cloud, data engineering, AI, and machine learning solutions, you will have the opportunity to leverage your expertise as a Senior Data Engineer - DBT & Snowflake. With over 30 years of industry experience and a global footprint, we focus on empowering businesses to address intricate challenges through the seamless integration of data, business strategy, and technology. Our commitment to a technology-agnostic approach and strategic partnerships with industry leaders enables us to craft tailored solutions across a range of sectors including finance, retail, manufacturing, healthcare, and insurance. By prioritizing efficiency and cost-effectiveness, we have maintained an exceptional customer retention rate exceeding 90% and have been acknowledged by Inc. Magazine for our ability to convert challenges into growth prospects. In this full-time, hybrid role based in Chennai, with the option for some remote work, you will play a pivotal role in designing, implementing, and overseeing data transformation processes utilizing DBT and Snowflake technologies. As a Senior Data Engineer, your responsibilities will encompass the development of data models, execution of ETL processes, and construction of data warehouses. Additionally, you will be tasked with conducting data analytics to address business requirements and collaborating with diverse teams to ensure data integrity and optimize performance. To excel in this role, you should possess a solid background in Data Engineering, Data Modeling, and ETL processes, along with proficiency in Data Warehousing and Data Analytics. A deep understanding of DBT (Data Build Tool) and Snowflake is essential, coupled with exceptional problem-solving abilities and effective communication skills. The role will require you to work autonomously and adapt to a hybrid work environment. Experience in managing extensive datasets and streamlining data processes will be advantageous. A Bachelor's degree in Computer Science, Information Technology, or a related field is required, while prior exposure to industries such as finance, retail, manufacturing, healthcare, or insurance will be beneficial.,

You will be joining Athiva Technology LLP, an emerging technology startup that specializes in Software Development, Cloud Consultancy, DevOps, and Data Engineering. At Athiva, we are driven by innovation, excellence, and a customer-centric approach to deliver cutting-edge technology solutions that help businesses achieve their strategic goals. As a Data Engineer with expertise in Power BI, your primary responsibility will involve developing, testing, and maintaining data pipelines. You will play a crucial role in building and optimizing data models while executing Extract, Transform, Load (ETL) processes. Additionally, you will be designing data warehousing solutions, conducting data analytics, and utilizing Power BI for data visualization purposes. Collaboration with cross-functional teams to meet project requirements and ensure data accuracy will be an essential aspect of your role. To excel in this position, you should possess strong skills in Data Engineering, Extract, Transform, Load (ETL) processes, Data Modeling, and Data Warehousing. Proficiency in Data Analytics and Power BI is crucial. Your problem-solving abilities, attention to detail, and effective communication skills will be key assets in this role. A Bachelor's degree in Computer Science, Information Technology, or a related field is required. Experience in working with cloud-based data solutions will be considered a plus. If you are passionate about leveraging data to drive business outcomes, thrive in a collaborative environment, and are excited about working on challenging projects, we encourage you to apply for this full-time Data Engineer role based in Tiruchengodu.,

As an AI Decision Science Consultant at Accenture Strategy & Consulting in the Global Network Data & AI practice within the Life Sciences sector, you will have the opportunity to contribute to high-visibility projects with top Pharma clients globally. You will work collaboratively with leaders in strategy, industry experts, and business intelligence professionals to create innovative solutions that leverage emerging technologies. Your role will involve supporting the delivery of consulting projects for global clients, encompassing strategy, implementation, process design, and change management. In this role, you will work both independently and as part of small to medium-sized teams, utilizing a range of skills from Data Engineering to Data Science. You will be involved in developing assets, methodologies, and research outputs that can be utilized by the team and the wider community. Your responsibilities will include working on projects related to Data Modeling, Data Engineering, Data Visualization, and Data Science, allowing you to acquire new skills with broad applicability across industry groups. Additionally, you will support the development of strategies and operating models for specific business units, assessing competitive responses and implementation readiness. You may also be required to deliver presentations to internal or external audiences on functional aspects within your domain. This role offers personalized training modules to enhance your strategy and consulting acumen, furthering your industry knowledge and capabilities. Furthermore, this position provides you with the opportunity to contribute to a culture committed to promoting equality and fostering boundaryless collaboration across the organization. By embedding responsible business practices into your client service approach and professional conduct, you will play a key role in shaping better decisions and enhancing customer relationships through data-driven insights.,

As a Senior Associate People Senior Associate L2 in Data Engineering, your main responsibility will be to translate client requirements into technical designs and implement components for data engineering solutions. You will be utilizing a variety of tools and technologies to develop efficient and effective solutions that meet the needs of our clients. Your role will involve working closely with clients to understand their specific requirements and then designing and implementing solutions that address those needs. You will be responsible for ensuring that the data engineering solutions you develop are high-quality, scalable, and reliable. In addition to technical skills, you will also need to have strong communication and problem-solving abilities. You should be able to work effectively both independently and as part of a team, collaborating with other members to deliver successful outcomes for our clients. Overall, as a Senior Associate People Senior Associate L2 in Data Engineering, you will play a crucial role in the development and implementation of data engineering solutions that drive value for our clients. Your expertise and contributions will be key to the success of our projects and the satisfaction of our clients.,

We are looking for an experienced and strategic Senior Manager to lead Measurement, Reporting & Roadmap within our Design System Operations team. In this lead role, you will be responsible for driving adoption metrics, system health monitoring, and roadmap planning for the design system that serves our product, design, and engineering teams. Your main accountability will be aligning system evolution with business and platform goals. You will partner closely with design, engineering, and product leaders to scale and mature our systems capabilities across the organization. Your key responsibilities will include defining and overseeing strategic KPIs for design system adoption, scalability, and performance. You will lead the development of system dashboards and metrics reporting tools, conduct high-level audits to monitor consistency, reusability, and compliance, and translate metrics into actionable insights for executive leadership. In terms of leadership in reporting & communication, you will deliver compelling quarterly reports and executive briefings on system impact and performance. You will also drive stakeholder engagement, create alignment on priorities across design, product, and engineering, champion the value of design systems through storytelling, and present system insights to leadership and cross-functional teams. Regarding strategic roadmapping & prioritization, you will lead and maintain a strategic roadmap for the design system aligned with product development cycles. You will facilitate prioritization workshops based on business value, adoption, and team feedback, and own roadmap communications and alignment across senior stakeholders. You will also coordinate with DesignOps, Engineering, and Product Ops on system planning and resource allocation, build governance frameworks, and performance rituals for sustained impact. Qualifications: - 8+ years experience in design operations, product strategy, or data engineering roles - 2-4 years in a management role leading design systems or cross-functional UX/Dev teams - Proven track record of building measurable strategies in complex organizations - Familiarity with system tooling: Figma, Storybook, Tokens Studio, Zeroheight, GitHub - Experience with analytics tools: Looker, Tableau, Amplitude, or similar - Strong executive communication and cross-org influence skills Nice to Have: - Experience managing a design system at scale in a product-led organization - Understanding of accessibility, usability, and design-token frameworks - Familiarity with Agile and program management tools (Jira, Asana, Notion) What You'll Get: - Strategic leadership role shaping the future of our design and platform experience - Direct influence over cross-org priorities, design consistency, and system scalability - A collaborative, mission-driven team environment with room to grow - Opportunity to drive measurable impact at scale in a product-first company,

As a Senior Manager in Data Engineering, your primary responsibility will be to define and execute data strategy for clients. You will play a crucial role in ensuring high quality strategy, definition, and delivery of solutions that involve data engineering. Your expertise will be essential in guiding the team towards successful project completion and client satisfaction. In this role, you will be expected to collaborate closely with cross-functional teams to understand client requirements and translate them into actionable plans. Your strong leadership skills will be instrumental in driving the team towards achieving project milestones and delivering high-quality solutions within the specified timelines. Additionally, you will be responsible for overseeing the implementation of data engineering best practices and ensuring that the team adheres to industry standards. Your strategic thinking and problem-solving abilities will be put to the test as you navigate complex data challenges and provide innovative solutions to meet client needs. The ideal candidate for this position will have a proven track record in data engineering and a deep understanding of data management principles. Strong communication skills and the ability to work effectively in a fast-paced environment are crucial for success in this role. If you are passionate about data engineering and possess the necessary skills to drive impactful outcomes, we encourage you to apply for this exciting opportunity.,

As a Senior Associate in Data Engineering at our company, you will play a key role in translating client requirements into technical designs and implementing various components for data engineering solutions. Your expertise in utilizing a range of data tools and technologies will be crucial in developing robust and efficient solutions to meet the needs of our clients. In this role, you will be responsible for working closely with clients to understand their specific data engineering needs and then designing and implementing solutions that align with those requirements. Your ability to analyze complex data sets and extract valuable insights will be fundamental in driving the success of our projects. Additionally, you will collaborate with cross-functional teams to ensure seamless integration of data engineering solutions with existing systems and processes. Your strong communication skills will be essential in conveying technical information to non-technical stakeholders and driving alignment on project goals and deliverables. To excel in this role, you should have a solid background in data engineering, including experience with data modeling, ETL processes, and data warehousing. Proficiency in programming languages such as Python, SQL, or Java will be advantageous, along with a strong understanding of cloud-based data platforms like AWS or Azure. Overall, as a Senior Associate in Data Engineering, you will have the opportunity to leverage your technical expertise to drive innovation and deliver impactful solutions that address the unique data challenges faced by our clients.,

As a part of this role, you will be responsible for setting up a Center of Excellence (CoE) and business practice for Enterprise AI solutions. You will be tasked with establishing Data Science & Analytics as a Service (DaaS) and building a practice with capabilities to create solution blueprints and roadmaps, orchestrate data acquisition, management, and engineering, as well as develop AI/ML models to solve analytical problems. It will be essential to stay updated with industry trends and developments to ensure the practice remains cutting-edge. In addition, you will promote collaboration and engagement within the team and with stakeholders. Your responsibilities will include creating technical Proof of Concepts (POCs) and solution demos, driving discussions to evaluate and design AI/ML solutions for various engagements, and implementing a framework across the solutions development lifecycle phases. You will also be required to develop a value tracking mechanism to monitor the Return on Investment (ROI) for AI/ML projects. Furthermore, a key aspect of this role will involve hiring, training, and mentoring a team of AI/ML experts to deliver technical solutions based on AI/ML products and platforms. It will be crucial to possess technical skills such as expertise in AI/ML, statistical modeling, ML techniques, and concepts, as well as experience with agile software development methodology and big-data projects. You should also have a fair understanding of verticals like Insurance, Manufacturing, and Education. Moreover, familiarity with tools and techniques related to data preparation, movement, analysis, visualization, machine learning, and Natural Language Processing (NLP) is essential. Experience in AI/ML enabled solution development leveraging high volume and high-velocity data across disparate systems and supporting large-scale Enterprise analytical solutions will be advantageous. Additionally, having a vision and the ability to set up solution practice groups will be beneficial. In terms of technical skills, it is required to have experience with Spark/Spark MLlib, visualization tools like Tableau/Power BI/Qlik View, cloud platforms such as Azure ML/AWS SageMaker/Snowflake, ML Ops, Automated ML, NLP, and Image/Video Analytics. Non-technical skills like possessing a master's degree in relevant fields, excellent interpersonal and people skills, analytical mindset, good debugging skills, and strong verbal and written English communication skills are also mandatory. Overall, this role offers a challenging opportunity to lead and drive AI/ML initiatives within the organization, requiring a combination of technical expertise, leadership skills, and a passion for innovation in the field of data science and analytics.,

As a Senior Associate L2 in Data Engineering, you will play a key role in translating client requirements into technical designs and implementing components for data engineering solutions. Your primary responsibility will be to utilize a variety of technologies to develop and maintain data pipelines, ensuring the smooth and efficient flow of data within the organization. In this role, you will collaborate closely with cross-functional teams to understand business needs and design solutions that meet those requirements. You will also be responsible for monitoring data quality, troubleshooting issues, and optimizing data pipelines for performance and scalability. The ideal candidate will have a strong background in data engineering, with expertise in technologies such as ETL tools, SQL databases, and cloud services. You should also possess excellent problem-solving skills and the ability to communicate effectively with both technical and non-technical stakeholders. If you are passionate about leveraging data to drive business insights and are looking for a challenging opportunity to work on cutting-edge data engineering projects, we encourage you to apply for the Senior Associate L2 in Data Engineering role.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Cyber Security is seeking a Security architect to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, design reviews, and processing of all AI first projects. The successful candidate will work closely with key stakeholders to drive key project activities and involve Cybersecurity domains included in AI development. We are seeking candidates with a passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. Responsibilities: - Work in or lead an agile team to design and build architectures on AI solutions. - Engage proactively with customers to better understand their needs and obtain feedback. - Acquire and develop technology-agnostic reference architectures across AI Security Architecture. - Review the current state AI system security architectural foundations and recommend enhancements with target roadmaps. - Develop vendor-agnostic security solution architecture with technology reference architecture aligned to various best practices such as NIST, ENISA, ETSI, etc. - Contribute to the development of security design patterns, framework, approach, and methodology in the discipline of AI Security, developing project timelines for ongoing system upgrades. - Collaborate across domain and solution architects at different sub-competencies of Cyber Security and act as CoE Champion to aggregate best practices of security reference architecture. - Conduct Technology and Infrastructure Security Assessment in terms of threat, vulnerability, and risk aspects of an enterprise security architecture perspective. - Develop Technology design and program planning to bring in value-added solution delivery and ensure strategic alignment and long-term business benefits. - Groom security analysts and solution architects to bring in a holistic perspective in every solution delivery. - Create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making. - Understand linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis. - Build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis. - Develop scalable algorithms capable of learning, analyzing, and predicting future events. - Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners. - Devise, develop, and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques. - Perform in-depth data analysis including Machine Learning, Classification, Optimization, Time Series analysis, and Pattern Recognition. Candidate must have a thorough understanding and experience in the following in terms of AI and AI Security: - Threat models - Security analysis - Design and integration into AI and ML infra - Some familiarity with an offensive perspective on AI attack model perspective, model extraction, data poison, etc. QUALIFICATIONS: Required Skills: - 5+ years of experience as an Architect with skills in AI and AI Systems. - 3+ years working with languages Python and SQL. - 3+ years applying statistics in data analyses (e.g., regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.). - 5 or more years of experience presenting and delivering results to business partners and leadership. - 2 or more years of experience in Cyber Security domain knowledge. - Strong project management, negotiation, and interpersonal skills. - Advanced written and verbal communication skills and presentation skills. - Bachelor's and/or postgraduate degree in computer science, information systems, engineering, or a related major. Preferred Skills: - Certifications in data science, deep learning, and ML. - Exposure to Generative AI and NLP. - Experience in multi-cloud. - 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.). - 2 or more years with modern data engineering with APIs. - 2 or more years of experience in Cyber Security domain knowledge. - M.S. or Ph.D. in a Science, Technology, Engineering, Mathematics (STEM), or Economics related field of study. - 2 or more years applying agile SDLC. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

You will be joining Nonrel, a company dedicated to driving digital transformation through innovative software solutions. As a prominent IT software firm, we specialize in delivering secure, scalable, and tailored solutions that cater to the requirements of diverse industries. Our team, comprising skilled engineers, developers, and consultants, collaborates closely with clients to devise digital strategies that tackle intricate challenges, streamline operations, and enrich customer experiences. Nonrel's unwavering commitment to quality, innovation, and dependability empowers organizations to maintain a competitive edge in today's dynamic digital realm. This full-time position is based in Hyderabad and calls for a Data Science Engineer to undertake the crucial responsibilities of designing, developing, and managing data infrastructure and systems. Your daily tasks will involve data modeling, executing Extract, Transform, Load (ETL) processes, crafting data warehouses, and performing data analytics. Collaboration with cross-functional teams will be essential to ensure that data solutions are in harmony with business objectives. To excel in this role, you should possess 3-4 years of experience in Data Engineering and Data Modeling, along with a strong command over Extract, Transform, Load (ETL) processes and Data Warehousing. Proficiency in Data Analytics, exceptional problem-solving and analytical abilities, and effective verbal and written communication skills are crucial. Your capacity to work efficiently within a collaborative team setup will be pivotal. A Bachelor's degree in Computer Science, Information Technology, or a related field is required, while prior experience in the IT software industry would be advantageous.,

As a Senior AI Machine Learning Engineer with 5-10 years of experience, you will be based in Bengaluru and will play a crucial role in designing and implementing AI/ML solutions. Your responsibilities will include transforming data science prototypes into scalable solutions, orchestrating infrastructure for low latency and resilient workloads, and collaborating with technical professionals to integrate models into the business framework. You must have a strong background in Object-Oriented Design and/or Functional Programming in Python, along with mature software engineering skills. Experience in machine learning frameworks like MLflow, containers (docker, Kubernetes), and cloud-first solutions using Microsoft Azure Services is essential. Proficiency in mathematics, algorithms, and orchestrating large-scale ML/DL jobs on cloud infrastructure is required. In this role, you will design custom APIs for machine learning models, manage model lifecycle, and incorporate ML models on unstructured data using cognitive services. Knowledge of enterprise SaaS complexities and data engineering tools like Databricks and Azure Data Factory will be beneficial. Your key responsibilities will include translating data science prototypes into production-ready solutions, collaborating with cross-functional teams, and running machine learning experiments to optimize algorithms. You will drive the design, development, and deployment of innovative solutions to simplify business processes and workflows, ultimately adding significant business value. If you are passionate about AI/ML, have a strong technical background, and enjoy working in a collaborative environment with diverse teams, this opportunity is for you. For further details, feel free to reach out at 70216 20237 or sakshi.chakre@mmcindia.biz.,

NTT DATA is looking for a Databricks Engineer to join their team in Bangalore, Karnataka, India. As a Databricks Engineer, you will be responsible for various tasks related to data extraction, ETL pipeline modernization, job design, development, automation, metadata management, documentation, testing, collaboration, performance tuning, security, governance, and compliance. Your primary job duties will include extracting and analyzing data from SQL Server and Teradata sources, translating legacy SQL/DataStage transformations into Databricks-native code, building and orchestrating jobs within Databricks using tools like Databricks Workflows, Delta Lake, and Auto Loader, generating and maintaining data flow diagrams and job documentation, designing and executing unit tests and integration tests for data pipelines, optimizing data ingestion and transformation for performance and cost efficiency, ensuring compliance with data governance policies, and implementing access control via Unity Catalog. To be successful in this role, you must have a strong understanding of ETL/ELT principles and data pipelines, proficiency with Databricks platform and PySpark or Spark SQL, advanced SQL skills, familiarity with Teradata and SQL Server environments, ability to read and understand data models, schemas, and ERDs, basic proficiency with Git for code versioning, ability to write and validate unit/integration tests, strong communication skills, and an awareness of security and governance principles. NTT DATA is a global innovator of business and technology services, serving 75% of the Fortune Global 100. They are committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries and a robust partner ecosystem. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is a leading provider of digital and AI infrastructure and is part of the NTT Group, investing in R&D to help organizations and society move confidently into the digital future. Visit us at us.nttdata.com.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. We're counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and contribute to creating a better working world for all. As an EY GDS Consulting Manager, you will manage and contribute technically and functionally to GRC Technology client engagements and internal projects. You will identify potential business opportunities for EY within existing engagements and escalate them as appropriate. Additionally, you will anticipate and identify risks within engagements and share any issues with senior members of the team. We are looking for a seasoned Platforms engineer with experience in GRC/IRM modules. In this role, you will be responsible for evaluating, recommending, and building out customer requirements on the GRC platforms using defined best practices for configuration and development. You will ensure the scalability and performance of these GRC Platforms. This position requires a high level of functional GRC expertise, exposure to various GRC platforms like Archer & ServiceNow, strategic thinking, and the ability to lead conversations and projects. This is an excellent opportunity to be part of a leading firm and be instrumental in the growth of the service offering. Your Key Responsibilities: Lead requirement gathering and/or review client's process requirements and how they map to GRC Platforms, driving platform expansion and adoption. Scope solution requirements and configure solutions around the platform to meet customer needs and project deliverables. Design solutions to include integration of AI/Gen AI/Microservices for document/data/access management, 3rd party integrations, and cloud environment management and monitoring. Understand solutions architecture design patterns and create solution architectures for client CIO/CTOs. Define and implement IT architecture and data pipelines tailored for risk and GRC technologies. Evaluate and select appropriate technologies and tools for data ingestion and normalization. Consider dependencies, relationships, and integration points to ensure proper solution integration with other systems when applicable. Deliver end-to-end automated solutions including technical implementation of IT Infrastructure Library (ITIL) processes, workflow customization, process automation, report development, dashboard creation, and system configurations. Identify new opportunities to provide additional value to clients and improve business performance. Create/Review statements of work to help ensure an appropriate level of effort. Participate in growing and enhancing internal processes for successful client delivery. Stay updated with the latest trends and advancements in IT architecture, data engineering, and GRC technologies. Ensure that all implementation work is carried out in accordance with company policies and industry best practices. Lead business development activities including written proposals, presales activities, functional demonstrations, and presentations. Ensure adherence to quality processes specified for the project. Develop and maintain productive working relationships with client personnel. Plan and monitor project deliverables from the team. Mentor the project team in executing the identified projects. Skills And Attributes For Success: Conduct performance reviews and contribute to performance feedback for staff and senior staff. Foster teamwork, quality culture, and lead by example. Understand and follow workplace policies and procedures. Train and mentor project resources. Participate in organization-wide people initiatives. To qualify for the role, you must have: 7+ years of industry experience, experience in leadership - leading larger teams. Should have led/completed at least 2 to 3 engagements/projects in a similar role. Demonstrated ability to map solutions to address client business issues and problem statements. Functional knowledge and implementation experience of GRC frameworks working directly with customers and clients. Experience in IT solution architecture and understanding of enterprise architecture. Strong understanding of ITIL processes. Exceptional problem-solving capability and ability to think strategically. Excellent interpersonal and communication skills. Experience in strategy, business development, finance, and budgeting desirable. Good understanding of GRC technology platforms including Archer, ServiceNow. Ideally, you should also have: B.E/B.Tech (Comp. Science, IT, Electronics, Electronics & Telecommunications)/MBA with a minimum of 7+ years of experience with other Big3 or panelled SI/ ITeS companies. Robust understanding of program and project management practices. Familiarity with a typical IT systems development life cycle. Knowledge of industry standards and regulations related to risk and compliance. Knowledge and experience of GRC/IRM modules. Good to have experience in GRC roadmap review, vendor comparison, and selection. Exposure to multiple GRC tools like MetricStream, Enablon, etc. would be an added advantage. What We Look For: A team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment with consulting skills. An opportunity to be a part of a market-leading, multi-disciplinary team of 1400+ professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries. What Working At EY Offers: At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work on inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching, and feedback from some of the most engaging colleagues around. Opportunities to develop new skills and progress your career. The freedom and flexibility to handle your role in a way that's right for you. EY | Building a better working world: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

OLake is the fastest open-source engine for replicating PostgreSQL, MongoDB, MySQL, and more directly into Apache Iceberg, without the need for Kafka or Spark. With over 980 GitHub stars and an active roadmap, as well as a community of over 200 developers in our Slack community, OLake is setting new benchmarks in sync performance compared to leading ETL tools. Backed by US $1.3 M in funding, we are looking to expand our reach and impact further. We are seeking a hands-on Data Engineer (DevRel) to leverage our current traction and build a thriving developer ecosystem. The role involves owning technical content writing, including research, experimentation, detailed code walkthroughs, demos, benchmarks, and community engagement activities from end to end. **What you'll own (day-to-day)** **Area: Technical research & blogs** You will be responsible for creating detailed technical research blogs to engage the community and drive trials. **Area: Benchmarks** Publish reproducible benchmarks comparing OLake with other tools, with the aim of increasing blog post CTR and Hacker News up-votes. **Area: Feature & experimentation-based comparison** Try out various tools with different technologies and document your findings in blogs, aiming to keep docs bounce rate below 35%. **Area: Community Events** Host at least one online community meetup per month, including live demos and presentations to encourage engagement. Aim for a 50% attendee sign-up rate to join the Slack community. **Area: Slack tech Q & A** Engage in deep tech-related Q&A on Slack, escalating bugs as necessary. Achieve a 95% answer rate for tech-related queries. **Area: Product growth** Drive product growth based on customer feedback and discoveries. Attend 70-80% of customer live usage demos or discovery calls. **Must-have skill set** - Proficiency in Git workflow, including rebase-merge, semantic commits, and Markdown. - Prior experience in moderating Slack/Discord or guiding OSS contributors. - Ability to explain technical concepts, such as tcp_keepalive, in a GIF-friendly manner. - Medium level SQL query writing skills. - Work experience with at least 2 data engineering tools such as Spark, Glue, Presto, Trino, Databricks, Apache Iceberg, or Parquet formats. **Nice-to-haves** - Exposure to Airflow, dbt, and Kafka. - Familiarity with data ingestion processes. - Prior experience in speaking engagements like meetups, podcasts, or YouTube. - Contributions to data infrastructure projects, even small PRs. **Perks & culture** - Direct communication line to founders, where your feedback can shape the roadmap. - Budget allocation for hardware and tools needed for screencasts and demos. - Travel sponsorship for conferences where you represent OLake. - Daily lunch and snacks provided. - Monthly team outings, lunches, and parties. - Insurance coverage. **Experience**: 13 years (exceptional fresh graduates also welcome),