Metadata Optimization Jobs in Bengaluru

AI Agent Engineer Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. We enable enterprises to deploy AI agents that automate customer interactions, delivering natural conversations with predictable outcomes. Our platform combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. We also empower teams to guide and augment human agents with AI copilots, while analyzing 100% of interactions for insights, coaching, and quality management. Leading companies like DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all channels. We re looking for an AI Agent Engineer to take the lead in building and deploying enterprise-grade Voice, Chat AI agents, and AI Copilot solutions. This role is hands-on, customer-facing, and crucial for bringing AI solutions to life from design and integration to deployment and optimization. As an AI Agent Engineer, you'll **own the end-to-end lifecycle of AI agents**: from building and integrating them to testing, deploying, and tuning performance to meet client requirements. What You ll Be Doing: AI Agent Development & Deployment: Take full ownership of building and deploying AI agents, including designing prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement & Demos: Lead weekly client demos, showcase progress, gather feedback, and act as the primary technical contact once the solution is defined. Systems Integration: Configure and integrate APIs, handle data mappings, manage authentication, error handling, and connect AI agents to CRMs, databases, or knowledge systems. Telephony Integration: Set up and optimize SIP/CCaaS/PSTN routing, configure fallbacks, pass metadata, and troubleshoot call quality issues. Optimization & Iteration: Continuously monitor agent performance, refine prompts, conduct iterative tests, and ensure agents meet automation and containment targets. Strategic Consultation: Translate customer requirements into actionable solutions, while working consultatively to unblock challenges related to security, connectivity, or knowledge ingestion. Collaboration with Engineering: Work alongside the product and engineering teams for deeper technical fixes and platform improvements, while leading client delivery independently. What You ll Bring to the Role: 3+ years of experience in conversational AI, ML engineering, or system integration, with hands-on delivery of AI/LLM-based solutions. Strong expertise in prompt engineering, workflow building, API integration, and telephony systems (SIP, Twilio, Amazon Connect, etc.). Familiarity with Large Language Models (GPT, Claude, Gemini) and orchestration frameworks like LangChain and LlamaIndex. Solid ML knowledge in areas such as embeddings, retrieval-augmented generation (RAG), evaluation frameworks, and fine-tuning models for optimal performance. Proficiency in programming languages such as Python, JavaScript, or similar. Customer-facing experience, with the ability to lead deep technical discussions and conduct weekly project demos. A strong problem-solving mindset, with the ability to find workarounds, unblock integrations, and adapt to unique customer ecosystems. Bachelor s degree in Computer Science, Engineering, or a related technical field. Experience with Integration Platform-as-a-Service (iPaaS) providers such as n8n, Zapier, or similar, and a strong understanding of API integrations and data flow management. Extensive hands-on experience with telephony integrations, including protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits: Medical Insurance: Comprehensive medical coverage and free online doctor consultations. Generous Leave Policies: Annual privilege and sick leave (as per Karnataka S&E Act), national and festive holidays, plus parental leave. Learning & Development Fund: Support for continuous learning and professional development. Fun Team Culture: Regular fun events to foster a collaborative and engaging work environment. Flexible Benefit Plans: Tax-saving benefits (meal cards, PF, etc.) and other flexible benefit options. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Position: Catalog Head Location: Bengaluru Company: Ace Turtle Employment Type: Full-Time About Ace Turtle: Ace Turtle is India s leading tech-native retail company, driving the next phase of transformation in the retail industry. Vertically integrated from design to local manufacturing, marketing, and direct consumer engagement, Ace Turtle leverages proprietary technology and data science to meet the ever-evolving needs of today s consumer. Based in Bengaluru and Singapore, Ace Turtle is the exclusive licensee for iconic global brands such as Lee , Wrangler , Toys R Us , Babies R Us , and Dockers in India and South Asia. Role Overview: As the Catalog Head at Ace Turtle, you will oversee the development, organization, and management of our product catalog, ensuring it aligns with business goals and customer needs. You will work closely with cross-functional teams to maintain an accurate, up-to-date, and engaging catalog that drives sales and enhances the online shopping experience. Key Responsibilities: 1. Catalog Development & Management: Collaborate with product managers, marketing teams, and suppliers to gather comprehensive product data, including specifications, images, and pricing, to build an accurate and dynamic catalog. Regularly update and maintain the catalog, adding new products, removing discontinued items, and ensuring all details such as prices and stock availability are accurate. Ensure the catalog reflects the company s brand identity and product offerings effectively. 2. Data Management & Quality Control: Organize and manage product data, ensuring consistency, accuracy, and integrity across all entries. Handle categorization, tagging, and product attributes, applying best practices in product taxonomy and merchandising techniques. Conduct regular audits to identify and resolve any data discrepancies, ensuring seamless catalog updates. 3. Content Creation & Optimization: Write clear, persuasive, and SEO-optimized product descriptions that highlight key features, benefits, and unique selling points. Optimize product titles, meta tags, and other catalog content elements to enhance search engine visibility and drive conversions. 4. Catalog Presentation & User Experience: Collaborate with design and creative teams to present the catalog in an attractive, intuitive, and user-friendly format. Focus on improving catalog layout, navigation, and visual elements to enhance user experience and drive product discovery. Work with UX/UI teams to ensure an easy and seamless shopping experience, including effective filtering, sorting, and search functionalities. 5. Cross-Functional Collaboration: Partner with internal teams (marketing, sales, e-commerce, procurement) to align catalog strategies with broader business objectives. Collaborate with suppliers and vendors to ensure accurate product listings and timely updates. 6. Performance Analysis & Continuous Improvement: Monitor key performance metrics such as conversion rates, click-through rates, and customer feedback to gauge catalog performance. Use data-driven insights to optimize the catalog s effectiveness and drive improvements in user experience and sales. 7. Project Management: Manage multiple catalog-related projects concurrently, prioritize tasks, and meet deadlines in a fast-paced eCommerce environment. Coordinate with stakeholders to ensure timely execution of catalog updates and improvements. What We re Looking For: Experience: 8+ years of relevant experience in catalog management, product data management, or eCommerce merchandising. eCommerce Expertise: Strong understanding of eCommerce platforms, online retail best practices, and industry trends. Data Management: Proficiency in managing product data in eCommerce platforms or Product Information Management (PIM) systems. Ability to use data analytics tools. Attention to Detail: High level of accuracy in managing product data, ensuring consistency and quality control across the catalog. Communication Skills: Excellent written and verbal communication skills, with the ability to create compelling product descriptions. Analytical Abilities: Strong analytical and problem-solving skills, with the ability to identify opportunities for catalog optimization based on data insights. Technical Proficiency: Familiarity with eCommerce platforms, CMS tools, and digital marketing tools. Basic knowledge of HTML, CSS, or other web development languages is a plus. Project Management: Strong organizational and multitasking skills to manage projects efficiently. Innovative Environment: Be part of a leading tech-native retail company shaping the future of the industry. Growth Opportunities: Work with iconic global brands and contribute to a high-impact, fast-growing business. Collaborative Culture: Join a dynamic, cross-functional team focused on driving results and continuous improvement. Global Reach: Play a pivotal role in managing the product catalog for an internationally recognized portfolio of brands.

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Position Title: Data Architect Department: R&D Engineering Location: Bangalore Experience: 15+ Years Industry: SaaS / Conversational Engagement / Customer Experience Technology About Acqueon: Acqueon is a leading provider of conversational engagement software that enables customer-centric enterprises to proactively engage with their customers across voice, messaging, and email channels. By leveraging a powerful data platform, predictive models, and intelligent workflows, we help brands enhance customer experience, improve collections, and drive revenue growth. With over 200 global clients, Acqueon is at the forefront of AI-powered customer engagement. Role Overview: We are seeking a visionary and technically hands-on Data Architect to lead the development of enterprise-scale data platforms and engineering solutions. You will work closely with Product Owners, Engineering Leadership, and cross-functional teams to define and execute a strategic technology roadmap aligned with Acqueon s business goals. As a key member of our R&D team, you ll lead the design and development of highly scalable, low-latency, fault-tolerant data systems, while mentoring top-tier engineering talent and driving high-impact product features. Key Responsibilities: Architect & Lead: Design and lead development of scalable data architectures and solutions supporting real-time and batch processing, analytics, and enterprise applications. Strategic Ownership: Define and implement the data strategy, technology roadmap, and long-term architecture vision for Acqueon s platforms. Leadership: Manage and mentor a team of senior developers and engineers, fostering innovation, ownership, and delivery excellence. Cross-functional Collaboration: Work with Product, Sales, Engineering, and Customer teams to align on feature development and delivery strategy. Project Management: Oversee the end-to-end delivery of complex features, ensuring adherence to timelines, scalability, and quality standards. System Design: Review architecture and design for robustness, performance, and fault tolerance, including multi-region, high-availability setups. R&D Enablement: Collaborate with international R&D teams and align development efforts across global product initiatives. Innovation & Optimization: Drive architectural decisions, recommend performance improvements, and ensure best practices for enterprise-scale data solutions. Required Skills & Experience: Education: Bachelor s or Master s in Computer Science, IT, or related field. Experience: 15+ years in software development and data architecture, with leadership experience in managing engineering teams. Architecture Expertise: Proven experience in designing scalable, concurrent, distributed, and highly available data systems. Database Proficiency: Strong in SQL/NoSQL databases Experience with MS SQL, Aerospike, DynamoDB, Snowflake In-depth knowledge of micro-partitions, cluster keys, warehouse cloning, time travel in Snowflake Strong in writing and tuning complex stored procedures ETL & Pipelines: Experience in building ETL pipelines and integrating data from S3, Kinesis Streams, APIs Cloud & DevOps: Strong understanding of Docker, AWS, and cloud-native deployment architectures Setting up multi-region resilience, disaster recovery strategies Technologies: Elasticsearch, AWS data services, container orchestration Big Data & Analytics: Exposure to analytical processing and statistical modeling is a plus Leadership: Strong project management skills, stakeholder engagement, and team mentoring experience Preferred Qualifications: Background in customer engagement, VDI, Cybersecurity, or Secure Access technologies Previous experience working with distributed R&D and product teams Knowledge of Acqueon, Citrix, VMware, Omnissa platforms is a plus Certifications in AWS, Snowflake, or similar technologies are an advantage Soft Skills & Behavioral Traits: Strong verbal and written communication skills Strategic thinking with hands-on execution ability High accountability and ownership mindset Ability to work in a fast-paced, dynamic, startup-like environment Comfortable with ambiguity and context-switching Team player with the ability to lead by influence and collaboration Be a part of a fast-growing, AI-driven SaaS company disrupting the customer engagement space Work on cutting-edge technologies with global product teams Ownership of end-to-end solutions and ability to shape the data platform of the future A culture that promotes innovation, agility, and career growth

Job Title: Assistant Manager Performance Marketing Location: Bangalore Department: Performance Marketing Employee Type: Full-time Experience Required: 3 6 years Position Overview We are seeking a results-oriented Assistant Manager - Performance Marketing to lead our efforts across Google advertising (Web & App), SEO, ASO, and website performance optimization. This role is crucial to driving both paid and organic user growth, enhancing digital discoverability, improving user experience, and boosting conversion rates. The ideal candidate combines strategic vision with hands-on execution skills and has deep expertise in performance marketing, search optimization, and mobile growth strategies. Key Responsibilities Google Campaigns (Web & App): Strategize, execute, and optimize Google Ads campaigns across platforms including UAC, Performance Max, Search, and TROAS. Manage cross-channel ad campaigns to acquire high-intent users for both websites and mobile apps. Define audience segments, manage bidding strategies and budgets, and conduct creative testing to improve engagement and ROI. Collaborate with creative, product, and data teams to deliver targeted, performance-driven campaigns. Search Engine Optimization (SEO): Own and evolve the SEO roadmap to enhance organic rankings, traffic, and search visibility. Conduct technical, on-page, and off-page SEO audits and coordinate implementation with content and development teams. Develop content strategies aligned with keyword research, user intent, and business goals. Track and analyze key SEO metrics using tools such as Google Search Console, SEMrush, Ahrefs, and Screaming Frog. Hands-on experience managing CMS and web hosting platforms. App Store Optimization (ASO): Lead ASO initiatives for the Google Play Store to increase app visibility and installs. Optimize app metadata including titles, descriptions, keywords, screenshots, and videos based on data insights. Run A/B tests using Store Listing Experiments and ASO tools like AppTweak or SensorTower. Monitor app store rankings, user reviews, and competitor performance to inform strategy. Experience: 4+ years in digital marketing with proven success in Google Ads, SEO, ASO, and website performance optimization. Expertise: Deep understanding of web and app acquisition strategies, Google Ads platforms (including Firebase and GA4), and ASO/SEO tools. Analytical Skills: Strong ability to interpret data and translate insights into actionable marketing strategies. Technical Knowledge: Familiarity with web technologies, mobile user acquisition funnels, and performance measurement tools. Certifications: Google Ads and Google Analytics certifications preferred. Additional Tools: Experience with Firebase, Appsflyer or other Mobile Measurement Partners (MMPs), Google Play Console, Google AdMob, and Adsense. Soft Skills: Excellent communication, collaboration, and project management abilities. If you re passionate about driving growth through performance marketing and thrive in a fast-paced environment, we d love to connect with you.

Position: Data Architect Location: Remote/Hybrid | Bengaluru, IND We're searching for a highly skilled and experienced Data Architect to join our team. If you have a deep understanding of big data technologies and extensive experience with Hadoop, Python, Snowflake, and Databricks, you're the ideal candidate. You'll be responsible for designing, implementing, and managing complex data architectures that support our critical business needs and objectives. What You'll Do: Design & Architecture Leadership: Design scalable and efficient data architecture solutions that meet current and future business data needs. Lead the development of data models, schemas, and databases, ensuring alignment with business requirements. Architect and implement robust data solutions on leading cloud platforms (AWS, Azure, or GCP). Data Management & Governance: Develop and maintain robust data pipelines and ETL processes using Hadoop, Databricks, and other essential tools. Oversee data integration and quality efforts to ensure consistency and reliability across the organization. Implement data governance best practices, focusing on data security, privacy, and compliance. Collaboration & Mentorship: Work closely with data engineers, data scientists, and business stakeholders to translate data requirements into effective technical solutions. Provide technical leadership and mentorship to junior data engineers and architects. Collaborate with cross-functional teams to ensure data solutions align perfectly with overall business goals. Optimization & Innovation: Optimize existing data architectures for peak performance, scalability, and cost-efficiency. Monitor and troubleshoot data systems to ensure high availability and reliability. Continuously evaluate and recommend new tools and technologies to improve our data architecture. What You'll Bring: Experience: 10+ years in data architecture, data engineering, or a related field. Big Data Expertise: Proven experience with Hadoop ecosystems (HDFS, MapReduce, Hive, HBase). Programming Prowess: Strong programming skills in Python for data processing and automation. Data Platform Mastery: Hands-on experience with Snowflake for data warehousing and Databricks for analytics. Cloud Fluency: Extensive experience with cloud platforms (AWS, Azure, GCP) and their data services. Data Modeling: Familiarity with data modeling tools and methodologies. Core Skills: Deep understanding of big data technologies and distributed computing. Strong problem-solving skills to design solutions for complex data challenges. Excellent communication skills, able to explain complex technical concepts clearly to diverse audiences. Proficient in SQL and database performance tuning. Experience with CI/CD pipelines and automation in data environments. Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Preferred Qualifications: Advanced Degree: A Master's degree in a related field. Cloud Certifications: Certifications like AWS Certified Data Analytics, Google Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate. Additional Languages: Experience with other programming languages like Java or Scala. Machine Learning Integration: Knowledge of machine learning frameworks and their integration with data pipelines.

Content Marketing Manager (SaaS) Location: Bengaluru, India (Work From Office) Experience: 8 10 Years Employment Type: Full Time, Permanent Department: Marketing & Communication Industry: Software Product Role Category: Digital Marketing About the Role We're on the lookout for a strategic Content Marketing Manager who lives and breathes content and knows how to turn words into revenue. You'll craft compelling, high-conversion content tailored to the SaaS space from landing pages to product write-ups and everything in between. This is your opportunity to shape the voice of a growing software brand and lead our content efforts with creative flair and data-driven precision. Key Responsibilities Content Creation & Strategy Create high-quality, engaging content across web, blog, case studies, emails, product pages, and social media. Own the editorial calendar plan, brainstorm, and execute impactful content campaigns. Collaborate with product, sales, and marketing teams to align content with business objectives. Content Execution & Optimization Edit and proofread for clarity, accuracy, tone, and brand alignment. Ensure content is optimized for SEO and performance metrics like engagement, rankings, and conversions. Regularly audit and update existing content for freshness and effectiveness. Performance & Innovation Track content KPIs including organic traffic, bounce rate, time on page, and lead conversions. Explore new formats like video scripts, infographics, or interactive content to boost reach and engagement. Continuously improve messaging based on performance data and audience insights. What You Bring Technical Skills & Tools Strong understanding of SEO best practices keyword research, optimization, and performance tracking. Experience working with CMS platforms like WordPress or Joomla. Familiarity with tools like Grammarly, Hemingway, Google Analytics, Ahrefs, or SEMRush. Bonus: Basic HTML knowledge for tweaking web content. Soft Skills Excellent writing, editing, and communication skills. Strong project and time management you're used to juggling multiple content projects at once. Creative mindset with an eye for compelling storytelling in a B2B SaaS environment. Qualifications Education: UG: Any Graduate PG: Any Postgraduate (preferred but not mandatory) Perks & Benefits Competitive compensation (as per industry standards) Opportunity to lead and innovate in a fast-growing SaaS company Work alongside a creative and collaborative marketing team

Senior Associate Data Engineering L2 Location: Bengaluru, India Department: Engineering Data Employment Type: Full-Time About the Role As a Senior Associate Data Engineering (L2) at Publicis Sapient, you will lead technical solutions that drive digital transformation by building scalable, high-performance data platforms. You ll be responsible for translating business and technical requirements into modern, data-centric solutions using Big Data technologies, cloud services (Azure), and advanced data engineering practices. Key Responsibilities Design and implement data ingestion, integration, and transformation processes from multiple heterogeneous sources in both batch and real-time. Build scalable data platforms using Hadoop stack components such as HDFS, Kafka, Spark, Hive, NiFi, Oozie, Airflow, Flink, and Storm. Develop real-time analytics, aggregation, and search features to support various data-driven applications. Collaborate closely with cross-functional teams on data infrastructure, computation frameworks, and data visualization. Apply cloud-native principles and Azure services to build and deploy data pipelines. Ensure performance optimization and data pipeline tuning. Work with NoSQL and MPP platforms like MongoDB, Cassandra, Redshift, Azure SQL DW, HBase, BigQuery. Contribute to infrastructure, automation, and DevOps for data pipelines using CI/CD practices. Ensure data governance, lineage, and cataloging using tools like Collibra or Alation. Required Qualifications 6 8 years of professional experience in software/data engineering. Minimum of 3 years hands-on experience with Big Data technologies. Strong programming expertise in Java (preferred), Scala, or Python. Expertise in the Hadoop ecosystem and real-time stream processing tools (Kafka, Pulsar, Spark Streaming, etc.). Hands-on experience with Azure data services (e.g., Data Factory, Synapse, ADLS, Databricks). Experience working with modern ETL tools (Informatica, Talend, etc.) and traditional RDBMS platforms (Oracle, PostgreSQL, SQL Server, MySQL). Bachelor's degree in Computer Science, Engineering, or related field. Nice to Have Certifications in Azure Data Engineer, GCP Big Data, or related cloud specializations. Experience with distributed messaging frameworks (ActiveMQ, RabbitMQ, Solace). Familiarity with microservices architecture and search technologies (Elasticsearch). Performance tuning of distributed data processing systems. Exposure to data governance, security, and metadata management. Benefits and Culture at Publicis Sapient Gender-neutral workplace policies 18 paid holidays annually Generous parental leave + new parent transition support Flexible work arrangements Access to Employee Assistance Programs (wellness & well-being) A dynamic culture focused on learning, creativity, and collaboration Qualification : Bachelor's degree in Computer Science, Engineering, or related field.

Job Title: Senior Developer SQL & Snowflake Location: Bangalore, India Experience: 7+ Years (Minimum 3+ years in Snowflake) Employment Type: Full-Time Job Overview: We are seeking a highly skilled Senior Snowflake Developer to join a global financial services project for a client operating in public/private loans, CLOs, and long/short credit. The ideal candidate will bring expertise in Snowflake, SQL, Coalesce, and Fivetran, with a strong background in data integration and cloud-based data warehousing. You will be instrumental in driving forward key data initiatives and delivering innovative, scalable data solutions in a fast-paced, agile environment. Key Responsibilities: Design, develop, and optimize Snowflake objects including databases, schemas, tables, views, and stored procedures. Build and maintain Snowflake data pipelines utilizing tools like SnowSQL, SnowPipe, Streams, and Tasks. Implement data loading strategies using COPY, PUT, GET, LIST, and REMOVE commands for batch and bulk data movement. Ensure seamless migration and integration of data from Azure Cloud to Snowflake with high attention to performance and data integrity. Define and manage Snowflake roles, custom role hierarchies, masking policies, and network policies for enhanced security and governance. Use Coalesce and Fivetran for designing and managing ETL/ELT workflows that extract and transform data from MS SQL Server. Write complex T-SQL queries, stored procedures, triggers, and functions for data transformation and reporting. Collaborate closely with cross-functional teams to understand requirements and translate them into technical solutions. Participate in Agile sprints, offering technical guidance, solution design, and timely issue resolution. Required Skills & Qualifications: 8+ years of total IT experience with at least 3+ years of Snowflake development experience. In-depth understanding of Snowflake architecture, utilities, and performance optimization techniques. Strong expertise in MS SQL Server with proficiency in writing advanced T-SQL scripts. Hands-on experience with ETL tools like Coalesce and Fivetran. Proficiency in Azure Data Integration strategies and tools. Excellent problem-solving and communication skills. Experience working in an Agile development environment. Preferred Skills: Prior exposure or high-level understanding of hedge funds, private equity, or private debt domains. Familiarity with data governance and compliance requirements in financial institutions. What s on Offer: Competitive and above-market salary. Hybrid work model with flexibility. Opportunity to work on cutting-edge technology in global financial markets. Collaborative, innovation-driven team culture. Education: Bachelor s degree in Computer Science, Information Technology, Finance, Economics, or a related discipline.

SQL Developer Team Lead (8 12 Years) | Bangalore (Work from Office) Location: Bangalore (Onsite) Experience: 8 to 12 Years Employment Type: Full-time About the Role We are looking for a SQL Developer Team Lead to join our fast-growing engineering team in Bangalore. In this leadership position, you will be responsible for managing a team of SQL developers, designing scalable data architectures, and optimizing high-performance queries and stored procedures. This is an exciting opportunity to work on large-scale enterprise applications that power the real estate and construction industry through our flagship platform, In4Suite . Key Responsibilities Lead, mentor, and manage a team of SQL developers, driving technical excellence and collaboration. Develop and optimize complex T-SQL stored procedures, triggers, functions, and SSIS packages. Design reusable and scalable database schemas for multi-tenant architecture across customers. Perform performance tuning and query optimization for large datasets. Maintain and evolve the data dictionary and metadata documentation. Work on Microsoft SQL Server 2012 and above for server-side database development. Ensure adherence to coding standards and best practices for SQL development. Conduct regular code reviews, QA checks, and validation of data exports and reports. Collaborate with cross-functional teams in a Scrum/Agile environment. Troubleshoot and resolve complex SQL/database-related issues independently. Required Skills Strong hands-on experience with Microsoft SQL Server (2012 and above). Expert-level knowledge in T-SQL programming and SSIS (SQL Server Integration Services). Proven track record in data modeling, schema design, and multi-tenant architecture. Skilled in query optimization, performance tuning, and analyzing execution plans. Solid understanding of database best practices, indexing strategies, and stored procedure optimization. Experience managing a high-performing development team in a product-based environment. Preferred Skills Familiarity with .NET code and jQuery is a plus. Experience with SSRS (SQL Server Reporting Services) for report generation. Exposure to Database Administration (DBA) tasks such as backups, indexing, and monitoring. Working knowledge of Agile project tracking tools and collaboration platforms. Educational Qualifications Bachelor s or Master s Degree in Computer Science, Information Technology, or a related field. 8 to 12 years of relevant industry experience in SQL development and database leadership roles. Soft Skills & Team Culture Fit Strong leadership qualities with a team-first mindset. Excellent written and verbal communication skills. Highly analytical with a proactive problem-solving attitude. Eager to mentor and support junior team members. Committed to continuous learning and knowledge-sharing. Benefits of Working with In4Velocity Flexible working hours Continuous learning & professional development opportunities Medical and insurance coverage Work with a fast-growing enterprise software company Collaborative and inclusive team culture About In4Velocity Founded in 2004, In4Velocity is a market leader in providing technology solutions for the real estate, construction, and infrastructure sectors. Our flagship product, In4Suite , is an end-to-end ERP platform that helps real estate developers streamline operations and make data-driven decisions through a single, unified system. Trusted by clients globally, In4Suite eliminates the need for multiple disjointed tools by combining project management, sales, finance, procurement, and CRM into one powerful ecosystem. With unmatched support, intuitive design, and deep business intelligence capabilities, In4Suite is the platform of choice for digitally transforming real estate businesses. Apply now and become part of a pioneering technology company redefining real estate management. Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or a related field.

SEO Specialist Location: Bangalore Experience: 3-4 Years Company: KredX About KredX Since 2015, KredX has been revolutionizing working capital solutions into a comprehensive financial ecosystem. We are India s leading integrated supply chain finance provider, holding both RBI s TReDS license and IFSCA s ITFS license making us one of the few double-licensed entities in the country. Our core platforms include: DTX (Domestic Trade Exchange): RBI-licensed platform enabling MSMEs to access early payments through invoice discounting. GTX (Global Trade Exchange): IFSCA-licensed platform offering efficient cross-border trade finance. CMS (Cash Management Solutions): AI-powered automation streamlining enterprise financial operations globally. DTX (dtxindia.in) is powered by KredX and supports MSMEs by offering quick, safe, and cost-effective working capital solutions, leveraging advanced finance automation technologies. Role Overview We re looking for an SEO Specialist to enhance our organic search presence and improve overall search engine rankings. The role blends strategic planning with tactical execution, focusing on content alignment, technical SEO health, and performance optimization. Key Responsibilities Develop and execute effective SEO strategies to increase organic traffic and improve search rankings. Conduct comprehensive keyword research to guide and optimize content strategies. Optimize on-page SEO elements such as metadata, headers, internal linking, and site architecture. Identify and resolve technical SEO issues by collaborating closely with product and tech teams. Monitor, analyze, and report on SEO performance metrics and trends, providing actionable insights. Support organic growth efforts across social media by optimizing posts and tracking engagement metrics. Keep abreast of search engine algorithm updates and evolving SEO best practices. Requirements 2 to 4 years of hands-on SEO experience. Strong knowledge of on-page, off-page, and technical SEO principles. Proficiency in SEO tools such as Google Search Console, SEMrush, Ahrefs, etc. Experience in content optimization, link-building strategies, and website structural improvements. Ability to collaborate effectively across content, product, and technical teams. Basic understanding of HTML and website coding is a plus.

Subject Matter Expert (SME) Production Optimization Location: Bengaluru Department: Global Strategic Services Data Science EMEA Employment Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation through AI and data. Our flagship solutions include Cognite Atlas AI and Cognite Data Fusion (CDF), empowering industries such as Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy to optimize operations and innovate at scale. We have been honored with awards like the 2022 Technology Innovation Leader and 2024 Microsoft Energy and Resources Partner of the Year. Our Values Impact: Deliver meaningful results in every endeavor. Ownership: Take responsibility beyond boundaries, fostering inclusivity and teamwork. Relentless: Innovate persistently with resilience and care. Role Overview As a Production Optimization SME, you will leverage deep industry expertise to guide Cognite s Data Science and Customer Success teams in delivering data-driven production optimization solutions. Acting as a trusted advisor, you will collaborate with project teams and customers to ensure maximum value realization through strategic and technical guidance. Key Responsibilities Advise customers and internal teams on production optimization challenges and solutions. Collaborate with Project Managers, Customer Success, Sales, and Product teams to align delivery with business goals. Translate customer needs into actionable project scopes and solution designs. Demonstrate the value of Cognite Data Fusion and related applications for production optimization. Create demos, visualizations, and supporting materials for customer implementations. Provide on-site technical support and mentoring to technical teams, especially data scientists. Gather and relay customer feedback to improve products and solutions. Stay current on industry trends, Big Data, Business Intelligence, and Machine Learning technologies. What You Bring Bachelor s degree in Petroleum Engineering, Chemical Engineering, or related technical field. 5+ years experience in production engineering with expertise in: Optimizing production near wellbore, completions, and pipeline/network systems Designing and troubleshooting artificial lift systems (ESP, gas-lift, sucker rod pumps) Using multiphase flow simulators (Prosper, Gap, Pipesim) Analyzing reservoir and well performance data Conducting flow assurance studies (corrosion, scale, wax, hydrates, slugs) Familiarity with data-driven production optimization challenges and technologies. Python programming skills are a plus. Excellent presentation, coaching, and communication skills across organizational levels. Self-motivated, results-driven, and able to work independently and collaboratively. Proficient in English. Join a diverse, global team representing 70+ nationalities, with a strong focus on Diversity, Equality, and Inclusion (DEI). Work from a modern hybrid office environment in Bengaluru (Rathi Legacy, Hoodi). Enjoy a flat organization with direct access to leadership and minimal bureaucracy. Collaborate on ambitious projects impacting multiple industries worldwide. Engage with the Cognite HUB to exchange ideas and connect with peers and partners. Make Your Impact Be part of Cognite s mission to power digital transformation with DataOps and AI, enabling industrial clients to optimize operations sustainably and make better decisions every day. We welcome candidates from all backgrounds apply today! Qualification : Bachelors degree in Petroleum Engineering, Chemical Engineering, or related technical field.

Job Title: Consultant - Content Operations Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Glance is a leading consumer technology company powering innovative digital platforms such as Glance, Roposo, and Nostra. Founded in 2019 and headquartered in Singapore, Glance s smart lock screen technology transforms how users engage with their smartphones by delivering relevant content without searching or downloading apps. Currently, Glance s lock screen reaches over 400 million smartphones globally. Our platforms include: Glance: The revolutionary smart lock screen platform Roposo: A dynamic LIVE video platform transforming creator-led experiences Nostra: The largest gaming platform across India and Southeast Asia Join Glance and unlock your potential in a fast-paced, innovative environment. Here, your ideas matter you ll work on impactful projects alongside ambitious peers, leveraging the latest tech to reshape digital content experiences. We value autonomy, creativity, and collaboration. Enjoy benefits such as daily meals, wellness programs, tech tools, and a family-friendly workplace where your kids and pets are welcome. Key Responsibilities Content Operations Consultant Content Moderation: Ensure all user-generated and platform content adheres to Glance s brand guidelines, legal compliance, and community standards. Content Curation: Analyze user preferences, regional trends, and current events to select and organize engaging, relevant content. Creative Enhancement: Innovate by adding creative elements that boost emotional connection and user engagement across platforms. Content Publishing: Manage the end-to-end content publishing lifecycle, guaranteeing accurate, timely releases aligned with operational goals. Cross-Functional Collaboration: Work closely with engineering and product teams during content production and staging to ensure flawless publishing and technical accuracy. Candidate Profile & Qualifications Demonstrated experience (0.5 months to 1 year) in content moderation, digital content curation, creative content strategy, or content publishing in a fast-paced digital or tech environment. Strong understanding of content compliance, audience engagement, and digital publishing workflows. Ability to collaborate with cross-functional teams including engineering and product management. Excellent attention to detail, creativity, and adaptability in a dynamic work setting.

Data Management Analyst Location: Bengaluru, Karnataka Team: Data Management About this Role This position is part of BlackRock s initiative to revolutionize private markets data and technology, complementing the Aladdin platform to deliver comprehensive investment solutions globally. The Data Management team is dedicated to ensuring that coverage of the alternative assets industry remains accurate, up to date, and comprehensive. As a Data Management Analyst, you will focus on processing and assuring the quality of public data. Reporting to the Data Lead, you will collaborate with a distributed team of specialists to research, analyze, and curate public data delivered to our clients. What You ll Do Acquire, update, and maintain high-quality alternative assets data using internal tools and software. Conduct thorough web-based research on firms, funds, and transaction activities in the alternative asset space. Update databases with key financial information, statistics, and analyses relied upon by clients. Participate in complex data projects involving data quality, process re-engineering, and workflow optimization. Develop domain expertise to enhance the quality and scope of data offerings. Collaborate with stakeholders across various business units to improve data product offerings. What You Bring Bachelor s degree or equivalent experience in Finance or a related field. Approximately 6 months of relevant experience. Strong interest in finance and knowledge of financial markets. Proficiency in English with excellent writing and interpersonal skills. Experience with Microsoft tools such as Excel, SharePoint, and Office 365. Benefits We offer a wide range of benefits designed to keep you energized, engaged, and supported, including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO) so you can relax and recharge. Hybrid Work Model Our hybrid work model fosters collaboration and mentorship, supporting employee growth and flexibility. Employees typically work at least 4 days per week in the office with the option to work from home 1 day per week, ensuring a balance between teamwork and individual productivity. About BlackRock At BlackRock, our mission is to help more people achieve financial well-being. Our clients, and those they serve, rely on investments that support retirement, education, home ownership, and business ventures. These investments also strengthen the global economy by supporting businesses, financing infrastructure, and enabling innovation. We invest deeply in our employees, creating a welcoming and supportive environment with opportunities for development, networks, and benefits to help you thrive. Qualification : Bachelors degree or equivalent experience in Finance or a related field.

Job Title: Lead Salesforce Engineer Location: Bangalore, India Job Type: Full-Time (Hybrid Work Model) Experience Level: 8+ Years About Eightfold: Eightfold AI is revolutionizing the way we think about skills, careers, and talent management. With over $410 million in funding and a valuation of over $2B, we are leading the industry with our AI-powered Talent Intelligence Platform. Our mission is to transform how organizations hire, develop, and retain talent, ultimately helping individuals transform their careers. Join a dynamic team of innovators and make a tangible impact on employment worldwide. Led by experts with backgrounds from Google, Facebook, and IIT, we re on a mission to redefine how talent is connected with opportunity. What You Will Do: As a Lead Salesforce Engineer, you will lead the design, development, and enhancement of Salesforce solutions, ensuring scalability and maintainability. You will be involved in both technical leadership and hands-on development, driving improvements while mentoring junior and senior developers. Key Responsibilities: Salesforce Solutions Design: Lead and architect the development of Salesforce solutions, including customizations, programming, and data migrations. Project Management: Participate in the planning and execution of Salesforce initiatives, leading the delivery of features, enhancements, and KTLO work items. Team Leadership: Mentor and guide a team of Salesforce developers, ensuring adherence to best practices and alignment with enterprise architecture. Code Reviews & Best Practices: Promote coding best practices, perform solution and code reviews, and ensure compliance with Salesforce best practices. Stakeholder Collaboration: Work closely with GTM systems, RevOps, and business teams to define and execute on Salesforce system enhancements. Technical Debt Management: Identify technical debt and propose design strategies to restructure or overcome existing limitations without compromising functionality. Agile/Scrum Methodologies: Use Agile practices to drive development, including sprint planning, standups, and retrospectives. Salesforce Development: Develop and deploy solutions using Apex, Visualforce, Lightning Web Components (LWC), Salesforce CPQ, Flows, and APIs. Salesforce Performance Optimization: Continuously monitor Salesforce performance, identifying areas for improvement and optimization. Knowledge Transfer & Post-Delivery Support: Coordinate post-delivery activities including support, documentation, and knowledge transfer. Proof of Concept: Lead the creation and demonstration of proof of concepts to address complex business needs. Cross-Functional Collaboration: Work with teams across departments to ensure effective integration and deployment of Salesforce solutions. Qualifications: Required Skills & Experience: 8+ years of experience in implementing Salesforce CRM capabilities, with strong expertise in Salesforce Sales Cloud, Service Cloud, CPQ, and Experience Cloud. Advanced proficiency in Salesforce development tools including Apex, JavaScript, VisualForce, LWC, SOQL, REST API, and Bulk API. Deep understanding of Salesforce architectures, data models, and best practices. Proficient in Salesforce deployment (Metadata API, ChangeSets, Version Control) and data governance (profiles, permission sets, data visibility). Expertise in middleware integration tools, data analysis, and ensuring data hygiene. Strong problem-solving skills with the ability to manage high-level software issues. Solid understanding of Salesforce security practices (e.g., profiles, permission sets, sharing settings). Familiarity with Agile/Scrum methodologies and experience with development cycles, including UAT and deployment. Strong verbal and written communication skills, including presentation skills. Bachelor s degree in Computer Science or related field. Good to Have: Salesforce Certifications (e.g., Salesforce Certified Platform Developer, Salesforce Certified Technical Architect). Exposure to middleware integration tools. Impactful Work: Play a key role in transforming the future of employment and talent management with AI. Growth Opportunity: Eightfold has received $410M in funding and boasts a $2B+ valuation, offering immense opportunities for career growth. Hybrid Work: Enjoy a flexible, hybrid work model that balances remote work with in-office collaboration twice a week in Bangalore or Noida. Inclusive Culture: We believe in equal opportunity and diversity in the workplace, welcoming individuals from all backgrounds. How to Apply: If you are an experienced Salesforce Engineer with a passion for solving complex business problems and leading innovative projects, apply today to join Eightfold AI s mission to reshape how talent and opportunity meet! Qualification : Bachelors degree in Computer Science or related field.

Position: Data Integration Developer Talend Location: Bangalore Employment Type: Full-time Experience Required: 4 to 7 years Overview: We are seeking a Data Integration Developer with strong expertise in Talend to join our growing data engineering team. This role is ideal for professionals who are passionate about designing and building robust, scalable ETL/ELT pipelines and integrating enterprise data across cloud and on-premise platforms. You will work closely with data architects, business analysts, and reporting teams to support data transformation, integration, and analytics efforts. Key Responsibilities: ETL/ELT Solutions Development: Design, develop, and deploy scalable ETL/ELT processes using Talend Data Integration (on-prem and cloud). Data Transformation & Integration: Implement data transformation using stored procedures and other data processing techniques. Report Development Support: Collaborate with reporting teams to support dashboard/report creation using tools like MicroStrategy and Power BI. Documentation & Data Governance: Create detailed pipeline documentation, configurations, and data workflows. Performance Optimization: Monitor pipeline performance, identify bottlenecks, and troubleshoot data integration issues. Essential Skills: Hands-on experience with Talend Suite (Talend Data Integration, Talend Cloud) Experience with Snowflake and writing Stored Procedures Knowledge of ETL/ELT design, data warehousing, and data modeling Familiarity with JSON, XML, CSV data formats Experience with data quality frameworks and job monitoring/scheduling tools Proficiency in Agile methodology and tools like JIRA Desirable Skills: Experience with reporting tools such as MicroStrategy and Power BI Skills in scripting languages: Python, Java, or Shell Understanding of cloud platforms (AWS, GCP, Azure) and related data services Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field Minimum of 3+ years of Talend development experience Qualities We Value: Strong verbal and written communication skills Experience in Agile and cross-functional team environments Problem-solving mindset and ability to work under minimal supervision Quick learner with a passion for data and process improvement Work with modern cloud data integration and enterprise tools Collaborate with global clients and expert teams Be part of cutting-edge data platform transformation initiatives Apply today and be part of our mission to deliver next-gen, data-driven insights. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Role: Senior SEO Executive Experience Required: Minimum of 4+ years of relevant experience Location: Bangalore Notice Period: Open Immediate joiners preferred Employment Type: Full-Time About Aezion: Aezion is a leading technology solutions provider, specializing in custom software development, AI-driven solutions, and digital transformation for enterprises. As one of the trusted digital engineering partners in the USA, we are committed to delivering excellence by exceeding client expectations across all stages of the project lifecycle architecting, designing, developing, hosting, maintaining, and supporting. We live by our core promise: "Get it right, or make it right." At Aezion, we view work as a ministry, an expression of our values, where results not only transform our clients but also forge lasting partnerships. Our Culture: At Aezion, we are a mission-driven organization guided by our Purpose Love others like Christ and our values: Love, Dependability, Humility, Diversity, Speed, and Innovation. We believe service defines us, and our dedicated team of 200+ employees work tirelessly to transform our customers into lifelong partners. Through service excellence, we aim to impact lives and drive success. Role Overview: We are seeking a skilled and motivated Senior SEO Executive to join our dynamic team. You will be responsible for driving organic search growth and improving visibility across search engines. This role will involve developing SEO strategies, conducting keyword research, optimizing on-page elements, building backlinks, and monitoring performance using SEO tools. Additionally, you will collaborate with cross-functional teams to align SEO efforts with broader marketing and content goals. Key Responsibilities: SEO Strategy Development: Formulate and implement effective SEO strategies to improve organic search visibility and drive traffic to the website. Keyword Research: Conduct comprehensive keyword research to identify high-value search terms relevant to Aezion s target audience and industry. On-Page Optimization: Optimize on-page content, including metadata, headers, image alt tags, and internal links, to enhance search rankings and relevance. Content Collaboration: Work closely with the content team to ensure all published content adheres to SEO best practices and targets strategic keywords. Technical SEO: Identify and resolve technical SEO issues, such as crawl errors, page speed optimization, mobile-friendliness, and XML sitemaps. Collaborate with web developers to implement technical SEO best practices across the site. Link Building: Build high-quality backlinks through outreach, guest blogging, and content promotion. Performance Monitoring & Reporting: Track, analyze, and report on organic performance metrics (traffic, rankings, bounce rate, etc.) using tools like Google Analytics, Google Search Console, and other SEO platforms. Provide actionable insights for continuous improvement. Social Media Integration: Develop and implement a social media content strategy that aligns with the overall marketing goals. Manage Aezion s social media presence across platforms like Facebook, Twitter, LinkedIn, and Instagram. Engagement Monitoring: Monitor social media channels for mentions, comments, and messages, responding promptly to inquiries and feedback to maintain brand reputation. Required Skills and Experience: SEO Expertise: At least 4+ years of hands-on experience in SEO, including keyword research, on-page optimization, and link building. Content & Technical SEO: Proven experience in optimizing both content and technical SEO elements to improve rankings and user experience. Analytics & Reporting: Proficiency with SEO tools such as Google Analytics, Google Search Console, Ahrefs, SEMrush, or similar platforms. On-Page & Off-Page SEO: Strong understanding of on-page optimization techniques (metadata, content, internal linking) and off-page strategies (backlink building). Social Media Savvy: Experience in managing and optimizing social media content to support SEO and marketing initiatives. Communication Skills: Strong written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams. Problem-Solving: Ability to identify and resolve SEO challenges, from technical issues to content optimization. Preferred Qualifications: Experience with SEO in a competitive digital environment, preferably in technology or software services. Familiarity with CMS platforms (WordPress, Joomla, etc.) and basic HTML/CSS. Certifications in SEO or related fields (e.g., Google Analytics, SEMrush, or HubSpot) are a plus.

Job Title: Deputy Manager Location: Bengaluru Role Overview: As a Deputy Manager responsible for Data Protection and Security, you will play a pivotal role in leading and managing data protection initiatives. You will oversee a range of security tools and processes, ensuring the effective implementation of DLP, data classification, and CASB solutions across a global organization. You will coordinate with internal and external stakeholders, manage teams, and contribute to the development and execution of enterprise-wide data protection strategies. Key Responsibilities: Stakeholder Coordination: Collaborate with both internal and external stakeholders to understand client requirements, processes, and governance guidelines, ensuring effective communication and relationship management. Leadership: Manage and lead a team of professionals, fostering strong leadership skills and creating a collaborative environment for continuous improvement. Data Protection Strategy: Lead cross-functional initiatives to advance the enterprise-wide data protection strategy, including risk-based application inventory, data classification, access and encryption controls, data discovery, and monitoring. Risk Management: Identify and manage data protection risks, proposing improvements to the enterprise data protection strategy, policies, processes, and tools. DLP and Data Protection Tools: Hands-on experience in managing and implementing Data Loss Prevention (DLP) solutions (e.g., Forcepoint), data classification tools (Microsoft AIP, TITUS, Klassify), and CASB solutions (Netskope) for 6000+ end users globally. Data Inventory & Reporting: Oversee the management and administration of data inventory tools, providing operational reports to management teams on the status and effectiveness of data protection measures. Policy Development & Implementation: Spearhead the design, implementation, and policy development for DLP platforms and CASB solutions, ensuring compliance with organizational and client-specific requirements. Endpoint Security & Intrusion Detection: Implement measures to detect and prevent intrusions using Endpoint, EDR (Endpoint Detection and Response) tools, and other security solutions. Security Program Expansion: Develop business procedures for DLP programs, recommend and implement expansions based on evolving business requirements, and ensure ongoing program improvements. Collaboration & Reporting: Collaborate with leadership to present findings, updates, and strategies for enhancing data protection initiatives. Desired Skills & Experience: Technical Expertise: Hands-on experience with DLP (Forcepoint), Data Classification tools (Microsoft AIP, TITUS, Klassify), and CASB (Netskope). Familiarity with file/email/endpoint encryption, data discovery, and data masking solutions. Experience implementing DLP and CASB standards across a large-scale global environment (6000+ users). Leadership & Management: Strong leadership skills with the ability to manage and mentor a team of professionals, ensuring project delivery and quality standards are met. Data Protection Strategy & Risk Management: In-depth knowledge of data protection strategies, risk management, and enterprise-wide data protection frameworks. Communication & Collaboration: Excellent communication skills with the ability to manage stakeholder relationships and work across multiple teams, ensuring alignment on data protection goals. Process & Policy Development: Experience in developing, fine-tuning, and implementing DLP policies, as well as working on continuous improvements in data protection practices. Security Tools & Practices: Hands-on experience with tools like Endpoint Detection and Response (EDR), DLP solutions, and CASB, with a focus on security program implementation and risk mitigation. Qualifications: Education: Bachelor's degree or equivalent in IT, Cybersecurity, or related fields. Experience: 5+ years of relevant experience in data protection, DLP implementation, and team management in a complex global environment. Certifications: Relevant certifications (e.g., CISSP, CISM, CISA, or equivalent) would be an advantage. Why Join Us: In this role, you will have the opportunity to shape and drive critical data protection initiatives across a large global organization. You will lead the implementation of cutting-edge solutions and be an integral part of a dynamic team focused on securing enterprise data and improving security frameworks. This role offers the chance to make a significant impact on the company s data security posture while also growing and mentoring a team of cybersecurity professionals. Qualification : Bachelor's degree or equivalent in IT, Cybersecurity, or related fields.

Job/Position Summary: Data Engineer Responsibilities: Implement data pipelines that meet design and are efficient, scalable, and maintainable. Implement best practices including proper use of source control, participation in code reviews, data validation and testing. Timely deliveries while working on projects. Act as advisor/mentor and helps junior data engineers in their deliverables. Must Have Skills: Should have experience of at least 4+ years with Data Engineering. Strong experience of design, implementation and fine-tuning big data processing pipelines in production environment. Experience with big tools like Hadoop, Spark, Kafka, Hive, Databricks. Experience in programming at least one of with Python, Java, Scala, Shell Script. Experience with relational SQL and NO SQL databases like PostgresSQL, MYSQL, Cassandra etc. Experience with any data visualization tool (Plotly, Tableau, Power BI, Google Data Studio, Quick sight etc.). Good To Have Skills: Should have Basic Knowledge of CI/CD Pipeline. Experience in working on at least one Cloud (AWS or Azure or GCP). For AWS: - Experience with AWS Cloud services like EC2, S3, EMR, RDS, Athena, Glue, Lambda, EMR. For Azure: -Experience with Azure Cloud services like Azure Blob/Data Lake GEN2, Delta Lake, Databricks, Azure SQL, Azure DevOps, Azure Data Factory, Power BI. For GCP: - Experience with GCP Cloud services Big Query, Cloud Storage bucket, DataProc, Dataflow, Pub Sub, Cloud Function, Data Studio. Sound familiarity in Versioning tools (Git, SVN etc.). Experience Mentoring students is desirable. Knowledge of latest developments in Machine Learning, Deep Learning, Optimization in Automotive domain. Open minded approach to explore multiple algorithms to design optimal solution. History of contribution to articles/blogs/whitepapers etc. in Analytics. History of contribution to Open Source. Requirement: ESSENTIAL SKILLS /COMPETENCIES Data Engineering Hadoop Kafka CI/CD Cloud