ROLE : BID MANAGERExperience: 5-8YearsLocation: Hyderabad / Bangalore WHAT TO EXPECT IN THIS ROLE Working independently but also collaborating with the wider bids and Bid team, the Bid Manager will:Take ownership of the bids process (end to end, project management, bid delivery, etc.) and further development and improvement of processes.Create storyline in terms of flow of the proposal.Challenge on Bid / No Bid decisions, with both quantifiable evidence and knowledge of other decisions for the same / similar clients around the business.Advise and lead partners and associates through the development of a bid strategy and formulation of a winning proposition.Manage request processing, selecting and leading optimal team for project according to customer requirements and company resources.Develop, review and validate pricing modelsCoordination with multiple stakeholders like solution team, finance team, legal team, risk and other teams to build an effective ecosystem to deliver best in class deliverables in areas of proposals, RFI/RFP response, etc.Responsible for getting all the approvals from various departments including sales, delivery, legal, business finance, HR, etc.Build reusable assets about practices, sectors, delivery methodologies, etc. to use in bids and contribute to the firm's standard content library.Develop business cases, marketing collaterals, and success stories involving inputs from multiple teams.AREAS OF KNOWLEDGE AND EXPERTISE5+ years of presales/bid management experience (APMP certification is preferred)Strong team management experience and communication skillsStrong time management skills, flexibility when managing own workload and priorities to take others' time commitments into accountExcellent writing and editorial skills for pitch contentExcellent attention to detailTechnical background is a plusAbility to understand, articulate and write solutions as explained by Architects, SME;s and Practice Heads in the language of global businessDomain knowledge: Retails, FinTech, Manufacturing & CPG, Life Sciences, etc. is a plusComputer literate and can work expertly in Word and PowerPoint and competently in Excel.A strong team player – willingness to support other colleagues

Location: Chennai, Bangalore, Hyderabad Exp: 5 to 10 years Required Skills - Minimum 5 years of experience. Functional Testing, UI automation, API automation. Preferred: Someone with AI experience, Performance Testing, CI/CD, backend data (SQL, ETL, Power BI experience). Budget: Max 24LPA

Must-Have Skills: Proficiency in Python Experience with Kubernetes and Docker for containerization Strong knowledge of FastAPI for building web services Hands-on experience with Apache Airflow for workflow automation Extensive experience in scalable and available REST API development Good understanding of SQL and RDBMS (e.g., PostgreSQL) Experience in Microservices Architecture Proficiency in SQLAlchemy for database interactions Familiarity with AWS Good-to-Have Skills: Experience with Singlestore and Grafana Basic knowledge of JavaScript (React.js) Familiarity with CI/CD tools (e.g., Argo CI)

We are looking for an experienced Technical Delivery Manager who started their career as a software developer and has grown into a leadership role managing end-to-end technology project delivery. This role is ideal for someone with a strong technical foundation who can communicate effectively with both technical teams and business stakeholders, driving successful outcomes through structured execution and collaborative leadership. Key Responsibilities: Own and lead the delivery of multiple concurrent technology projects from initiation to completion. Collaborate with engineering, QA, product, and business teams to ensure alignment of scope, timelines, and deliverables. Leverage your hands-on development background to guide technical conversations, remove blockers, and ensure best practices. Create and manage detailed project plans, track progress, mitigate risks, and handle dependencies. Foster a high-performance culture by promoting Agile practices, continuous improvement, and accountability. Act as the primary point of contact for internal and external stakeholders, providing regular updates and status reports. Ensure that delivered solutions meet quality standards, business objectives, and customer expectations. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 8+ years of experience in the IT industry, including hands-on development experience. Proven experience in leading technical project delivery and managing cross-functional teams. Solid understanding of software engineering principles, SDLC, and Agile methodologies. Strong problem-solving, decision-making, and organizational skills. Excellent communication and stakeholder management abilities. Preferred Qualifications: Project management certifications (e.g., PMP, CSM, PMI-ACP) are a plus. Experience in managing cloud-based, data, or AI/ML projects is advantageous. Familiarity with tools like JIRA, Confluence, Git, and CI/CD pipelines. Ability to balance technical depth with delivery oversight.

We're Hiring: HR Business Partner at Grid Dynamics Grid Dynamics is looking for an experienced and driven JUNIOR HR Business Partner to join our team in Hyderabad-India . This role is key to enhancing our diversity and inclusion efforts, supporting employee engagement, and strengthening HR operations across the location. Responsibilities: Lead and execute HR projects to standardize practices and introduce new processes. Own the onboarding experience and related KPIs. Act as the escalation point for employees and managers; conduct regular 1:1s and provide guidance on HR processes. Support learning and development needs, performance reviews, and promotion cycles. Monitor compensation reviews and work with payroll and leadership. Drive employee retention, analyze attrition trends, and lead engagement initiatives and corporate events. Mentor junior HR team members and collaborate with Compliance and Analytics teams. Qualifications: 5–7 years of HR experience with strong exposure to business partnering. Excellent communication and interpersonal skills. Proven experience in onboarding, employee relations, L&D, and performance management. Ability to manage multiple HR initiatives in a fast-paced environment. Show more Show less

Grid Dynamics is seeking an AI Expert (Senior Engineer) to spearhead the development of local Large Language Models (LLMs) for Personally Identifiable Information (PII) detection across our vast data ecosystem. This role involves building and fine-tuning custom LLMs that can identify PII in documents, databases, knowledge graphs, source code, and other knowledge-sharing platforms. The models must effectively handle data at scale (50+ PB of data) and remain up-to-date with continuous retraining on a quarterly or monthly basis. As the AI Senior Engineer, you will design and implement these AI solutions using technologies like Ray, llama.cpp, ollama, vLLM, and PyTorch, deploying them on Azure cloud and on-premises infrastructure for efficient, large-scale operation. You will also develop generative AI agents that leverage data schemas and metadata to improve PII detection accuracy. Collaboration is key: you will work closely with data engineering, security, and compliance teams to ensure the AI models meet business requirements and align with industry regulations (GDPR, CCPA, PCI DSS, etc.). Essential Functions Design, train, fine-tune, and optimize local LLMs or other NLP models for PII detection across diverse data types (documents, databases, knowledge graphs, code, and other knowledge-sharing formats). Develop generative AI agents (on Autogen/Langgraph) for schema- and metadata-based PII detection to enhance identification of sensitive data. Work with cutting-edge AI frameworks (Ray, llama.cpp, ollama, vLLM, PyTorch) to deploy and scale models efficiently in a distributed environment. Implement and optimize AI/ML solutions on Azure cloud and on-premise infrastructure, ensuring high performance and reliability. Collaborate with data engineering, security, and compliance teams to align AI solutions with business needs and regulatory requirements. Lead a small team of AI engineers, providing mentorship, code reviews, and technical guidance to drive project success. Maintain and monitor model performance, retraining models on a quarterly or monthly basis to handle 50+ PB of evolving data and to improve accuracy over time. Ensure AI models follow best practices and compliance standards, adhering to security requirements and regulations (GDPR, CCPA, PCI DSS, etc.). Qualifications Strong experience with AI frameworks such as Ray, llama.cpp, ollama, vLLM, and PyTorch for building and scaling LLM solutions. Expertise in LLM fine-tuning and prompt engineering, including techniques like Reinforcement Learning from Human Feedback (RLHF) to refine model outputs. Hands-on experience with AI model deployment in Azure cloud environments as well as on-premises servers. Familiarity with large-scale data (50+ PB) and distributed computing paradigms (e.g., using clusters or Ray) to handle massive datasets. Familiarity with MCP (Model Context Protocol) Servers and securing them. Strong programming skills in Python, with experience in machine learning frameworks and libraries. Ability to work cross-functionally with stakeholders in security, compliance, and data engineering to incorporate their requirements into AI solutions. Strong awareness if not implementation experience with Differential Privacy/Federated Learning. Excellent communication skills, with the ability to explain complex AI concepts and results to non-technical teams and leadership clearly. Would be a plus Knowledge of data security and compliance frameworks, as well as experience with responsible AI practices (ethical AI, bias mitigation, data privacy). Background in financial, payments, or security-related AI applications, giving you insight into the challenges and standards of the fintech industry. We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About Us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India. Show more Show less

Note - Candidate should be an Immediate joiner or within 30 days. This is a Hybrid position in Bangalore (Only Local candidates will be considered for this role or some who can relocate in a day or two) Details required: (Share your resume to zsharief@griddynamics.com with below details for faster response) Total Years of experience - Notice period - CTC - Expected CTC - Current Location - Job Description: Highly skilled DevOps Engineer with 6+ years of experience in designing, implementing, and maintaining robust CI/CD pipelines. Strong Python Programming Language Adept at collaborating with cross-functional teams to streamline development and deployment processes, optimize system performance, and ensure seamless delivery of high-quality software solutions. Cloud Platforms: Azure/AWS, Containerization: Docker, Kubernetes Configuration Management: Ansible, Puppet CI/CD Tools: Jenkins, GitLab CI/CD Monitoring and Logging: Prometheus, Grafana, Opera Infrastructure as Code (IaC): , CloudFormation Security: Security best practices, vulnerability scanning, and risk mitigation Roles & Responsibilities: - Coordinate with cross disciplinary teams to manage, deploy, and support technical projects across a large, rapidly growing business environment. - Develop and maintained automation and orchestration engine in support of large scale private and public cloud deployments. - Develop and implement Software Release Management strategies for various applications according to the agile process. Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation-using Jenkins along with Python and Shell scripts to automate routine jobs. Develop build and deployment scripts using ANT and MAVEN as build tools in Jenkins to move from one environment to other environments. Built and Deployed Java/J2EE to a web application server in an Agile continuous integration environment and also automated the whole process. Integrated Code Quality Analysis tools (PMD, JUnit, Findbugs, CheckMarx and Sonar) post builds and reported on Jenkins console. Formulated and optimized MSSQL What we offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance Corporate social events Professional development opportunities Show more Show less

Experience: 12-16Years Location: Hyderabad and Bangalore Notice period : immediate to 45days only We are looking for an experienced Technical Delivery Manager who started their career as a software developer and has grown into a leadership role managing end-to-end technology project delivery. This role is ideal for someone with a strong technical foundation who can communicate effectively with both technical teams and business stakeholders, driving successful outcomes through structured execution and collaborative leadership. Key Responsibilities: Own and lead the delivery of multiple concurrent technology projects from initiation to completion. Collaborate with engineering, QA, product, and business teams to ensure alignment of scope, timelines, and deliverables. Leverage your hands-on development background to guide technical conversations, remove blockers, and ensure best practices. Create and manage detailed project plans, track progress, mitigate risks, and handle dependencies. Foster a high-performance culture by promoting Agile practices, continuous improvement, and accountability. Act as the primary point of contact for internal and external stakeholders, providing regular updates and status reports. Ensure that delivered solutions meet quality standards, business objectives, and customer expectations. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 8+ years of experience in the IT industry, including hands-on development experience. Proven experience in leading technical project delivery and managing cross-functional teams. Solid understanding of software engineering principles, SDLC, and Agile methodologies. Strong problem-solving, decision-making, and organizational skills. Excellent communication and stakeholder management abilities. Preferred Qualifications: Project management certifications (e.g., PMP, CSM, PMI-ACP) are a plus. Experience in managing cloud-based, data, or AI/ML projects is advantageous. Familiarity with tools like JIRA, Confluence, Git, and CI/CD pipelines. Ability to balance technical depth with delivery oversight. Show more Show less

We are seeking a skilled software engineer with expertise in Java 8, Spring Boot, and Amazon Web Services (AWS) to join our dynamic team at Grid Dynamics. The ideal candidate will have experience working with Microservices architecture and developing RESTful APIs. If you're passionate about building scalable, cloud-based solutions and thrive in an innovative, fast-paced environment, we'd love to hear from you! We are looking for a skilled professional with 6-9 years of experience i n software development with Java , particularly in back-end programming with Java. The ideal candidate should have at least 2 years of hands-on experience with AWS services, including Lambda, S3, DynamoDB, Step Functions, and IAM , and a strong background in designing and implementing microservices architectures with RESTful APIs. Practical experience with workflow orchestration tools like Netflix Conductor or AWS Step Functions is essential. The role also requires familiarity with both relational and NoSQL databases, including schema design and optimization. Strong problem-solving abilities, including troubleshooting complex issues and optimizing workflows, are a must. Additional Note: Immediate joiners are preferred , and this position can be hired in Bangalore or Hyderabad. Show more Show less

We are looking for an experienced software engineer proficient in Java, Spring Framework, and Google Cloud Platform (GCP) (Or) Azure to join our team at Grid Dynamics. The ideal candidate will have hands-on experience with BigQuery, Apache Kafka, and GitHub/GitHub Actions, along with a strong background in developing RESTful APIs. If you're passionate about working with cutting-edge cloud technologies and building scalable solutions, we'd love to connect with you! We are seeking a highly skilled software engineer with at leas t 6-9 years of experience in Java and extensive expertise in the Spring Boot Framework & PostgreSQL . The ideal candidate should have a strong background working with eithe r MS Azure or Google Cloud Platform (GCP) or AWS , along with a solid understanding of data integration patterns and ETL processes. Experience with unit and integration testing (e.g ., JUnit, Mockito ) is essential, along with knowledge of distributed systems architecture. The role requires strong analytical and problem-solving skills to tackle complex challen ges. Additional Note: Immediate joiners are preferred, and this position can be hired across Bangalore, Hyderabad, or Chennai. Show more Show less

We are seeking an experienced and highly skilled UI Developer with 6 to 10 years of hands-on experience in designing and developing scalable front-end applications. The ideal candidate should have strong proficiency in React.js, with a solid understanding of backend integration and cloud infrastructure, particularly within the AWS ecosystem. A collaborative mindset and familiarity with modern development workflows and tools are essential. Technical Stack Frontend: React JS Backend: Node.js Cloud: AWS Lambda Cloud Infrastructure: AWS – including Lambda, API Gateway, DynamoDB, S3 Tools & Collaboration: Jira, Confluence, Slack CI/CD Pipelines – Jenkins, GitHub Actions Key Responsibilities: Design, develop, and maintain high-quality user interfaces using React.js Collaborate with backend developers to integrate APIs developed in Node.js and hosted on AWS Lambda Work closely with UX designers and product managers to translate design wireframes into responsive, interactive applications Optimize front-end performance and ensure cross-browser compatibility Participate in code reviews and contribute to UI architecture decisions Collaborate effectively using tools like Jira , Confluence , and Slack Nice to have requirements: Proven experience in developing admin tools and internal operational dashboards to support business and operational teams. Solid understanding of distributed systems and microservices architecture , enabling scalable and resilient application development. Exposure to the Nike technology ecosystem or similar large-scale retail and commerce platforms , with a focus on performance and customer experience. Collaborative experience working in cross-functional teams alongside UX designers , full-stack developers , and product stakeholders. Familiarity with testing frameworks and implementation of automated deployment pipelines to ensure code quality and delivery efficiency. Active involvement in architectural discussions , design reviews , and technical workshops , contributing to strategic decision-making and solution design. Show more Show less

1. Project description Preferably, a full stack Java, Python and understanding of GenAI along with UML and requirement elicitation skills. Verification dispute management products addresses merchant and acquirer facing capabilities. It includes Java full stack, Python, SQL database and cover ETL tools. New product development relies on GenAI capabilities to drive new features and developer efficiencies. For this role, the person should understand architecture and design concepts, engage with business for requirement elicitation, and build the architecture & system flow diagrams, solution design documents and build hands-on POCs. 2. Tech Requirements - Experience with Core Java and Java web application development for RESTful web services - Good knowledge in multi-threading and concurrency - Desire to work with and share new and innovative ideas, constantly expanding your knowledge - Analytical, strong organization and planning skills - Ability to work on complex technical and business problems while creative solutions - Understand architecture and design concepts, engage with business for requirement elicitation and build the architecture & system flow diagrams, solution design documents and build hands-on POCs. Responsibilities: - Developing, testing, and documenting software programs - Developing micro services using Java, Sprint boot, Kafka and SQL. - Applying the appropriate standards, processes, procedures, and tools throughout the system development life cycle to support the generation of engineering applications and products - Participate in architecture design and review - Developing database queries, or code that generates queries and fixes bugs found in existing codebases - Producing highly scalable, high performing applications - Helping preserve goals and business requirements Show more Show less

Tech stack required: Programming languages: Python Public Cloud: AzureFrameworks: Vector Databases such as Milvus, Qdrant/ ChromaDB, or usage of CosmosDB or MongoDB as Vector stores. Knowledge of AI Orchestration, AI evaluation and Observability Tools. Knowledge of Guardrails strategy for LLM. Knowledge on Arize or any other ML/LLM observability tool. Experience: Experience in building functional platforms using ML, CV, LLM platforms. Experience in evaluating and monitoring AI platforms in production Nice to have requirements to the candidate Excellent communication skills, both written and verbal. Strong problem-solving and critical-thinking abilities. Effective leadership and mentoring skills. Ability to collaborate with cross-functional teams and stakeholders. Strong attention to detail and a commitment to delivering high-quality solutions. Adaptability and willingness to learn new technologies. Time management and organizational skills to handle multiple projects and priorities.

Job Description: We are looking for a talented Android Developer to join our team. As an Android Developer, you will be responsible for designing, developing, and maintaining high-performance mobile applications for the Android platform. You will work closely with cross-functional teams to deliver user-friendly applications that offer a seamless and engaging user experience. Key Responsibilities: Android Application Development: Design, develop, and maintain native Android applications using Kotlin and/or Java . Performance Optimization: Ensure the best possible performance, quality, and responsiveness of applications by optimizing code and resolving bottlenecks. Testing & Debugging: Write clean, maintainable, and well-documented code. Debug and resolve issues while writing and running unit and UI tests to ensure app reliability. Continuous Integration: Participate in continuous integration (CI) and continuous delivery (CD) to automate building, testing, and deploying Android apps. Collaboration: Work in a collaborative team environment with product managers, designers, and other developers to ship new features and improve existing ones. Required Skills: Android Development: Strong experience with Kotlin and/or Java for Android app development. Android SDK: In-depth knowledge of the Android SDK , Android design principles, and interface guidelines. Jetpack Components: Familiarity with Android Jetpack components like LiveData , ViewModel , Room , Navigation , and WorkManager . MVVM Architecture: Understanding of architecture patterns such as MVVM , MVP , or Clean Architecture for organizing Android projects. Third-Party Libraries: Knowledge of common Android libraries like Dagger , Hilt , Glide , Picasso , and Firebase for push notifications and analytics. CI/CD Pipelines: Experience with continuous integration/continuous delivery (CI/CD) tools like Jenkins , CircleCI , or GitHub Actions . Performance Profiling: Familiarity with performance profiling tools such as Android Profiler and LeakCanary for optimizing memory usage and app performance. Testing: Knowledge of automated testing frameworks like JUnit , Espresso , or Robolectric . Material Design: Proficiency in implementing Material Design components and following Google’s UI/UX best practices. NEW - ABOUT GRID DYNAMICS - FEB 2024 Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, and advanced analytics services. Fusing technical vision with business acumen, we enable positive business outcomes for enterprise companies undergoing business transformation by solving their most pressing technical challenges. A key differentiator for Grid Dynamics is our 7+ years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization , and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India. Follow us on LinkedIn . Show more Show less

1. Project description Migration of User Knowledge Objects from Splunk to Clickhouse / Grafana / Bosun: PRE Observability team is undertaking a large-scale observability transformation initiative aimed at migrating from Splunk to a more cost-effective and scalable open-source observability stack based on Clickhouse and Grafana. As part of this effort, we are seeking POD-based teams to support the migration of user knowledge objects such as dashboards, reports, alerts, macros and lookups. 2. Client description 3. Key Responsibilities: Lead the design, development, and deployment of AI-based automation tools for data artifact migration. Develop machine learning models to intelligently map, transform, and validate data across different big data platforms. Build robust data pipelines to handle high-volume, high-velocity data migration. Collaborate with data engineers and architects to integrate AI-driven solutions into existing data workflows. Implement NLP and pattern recognition algorithms to automate schema conversion and data validation. Design custom algorithms for automated data quality checks and anomaly detection. Mentor junior engineers and contribute to technical leadership within the AI engineering team. Stay updated with the latest advancements in AI, big data technologies, and automation frameworks. Create comprehensive technical documentation and best practice guidelines for AI-based data migration. 4. Details on tech stack Splunk ClickHouse Grafana Data Migration Automation Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, and advanced analytics services. Fusing technical vision with business acumen, we enable positive business outcomes for enterprise companies undergoing business transformation by solving their most pressing technical challenges. A key differentiator for Grid Dynamics is our 7+ years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization, and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India. Follow us on LinkedIn.

1. Project description Migration of User Knowledge Objects from Splunk to Clickhouse / Grafana / Bosun: PRE Observability team is undertaking a large-scale observability transformation initiative aimed at migrating from Splunk to a more cost-effective and scalable open-source observability stack based on Clickhouse and Grafana. As part of this effort, we are seeking POD-based teams to support the migration of user knowledge objects such as dashboards, reports, alerts, macros and lookups. 2. Client description 3. Requirements Design, develop, and execute data quality test plans for big data systems. Monitor data pipelines to ensure data accuracy, completeness, and consistency. Implement automated data quality checks and alerting mechanisms using Splunk, ClickHouse, and Grafana. Participate in data migration projects, ensuring seamless and accurate data transfer between systems. Collaborate with data engineers and architects to identify data quality issues and recommend solutions. Create and maintain data validation scripts and test cases for ETL/ELT pipelines. Analyze data discrepancies and anomalies, providing root cause analysis and corrective actions. Develop dashboards and reports in Grafana to monitor data quality metrics and trends. Document data quality processes, standards, and best practices. 3. Details on tech stack Bigdata architecture understanding Exposure to Splunk Clickhouse Grafana 4. Nice to have requirements to the candidate 5. Current team size, their locations and whether team is going to grow? 6. Selling points for this demand (what is good about project / client / team / etc) 1. Project description Migration of User Knowledge Objects from Splunk to Clickhouse / Grafana / Bosun: PRE Observability team is undertaking a large-scale observability transformation initiative aimed at migrating from Splunk to a more cost-effective and scalable open-source observability stack based on Clickhouse and Grafana. As part of this effort, we are seeking POD-based teams to support the migration of user knowledge objects such as dashboards, reports, alerts, macros and lookups. 2. Client description 3. Requirements Design, develop, and execute data quality test plans for big data systems. Monitor data pipelines to ensure data accuracy, completeness, and consistency. Implement automated data quality checks and alerting mechanisms using Splunk, ClickHouse, and Grafana. Participate in data migration projects, ensuring seamless and accurate data transfer between systems. Collaborate with data engineers and architects to identify data quality issues and recommend solutions. Create and maintain data validation scripts and test cases for ETL/ELT pipelines. Analyze data discrepancies and anomalies, providing root cause analysis and corrective actions. Develop dashboards and reports in Grafana to monitor data quality metrics and trends. Document data quality processes, standards, and best practices. 3. Details on tech stack Bigdata architecture understanding Exposure to Splunk Clickhouse Grafana Show more Show less

Job Summary: We are looking for a skilled Data Engineer to join our team. The ideal candidate will be responsible for building and maintaining scalable data pipelines and ensuring efficient data flow across systems. Youll work closely with data scientists, analysts, and business stakeholders to enable data-driven decision-making. Key Responsibilities: Design, build, and maintain scalable and reliable data pipelines. Develop and optimize ETL (Extract, Transform, Load) workflows. Integrate data from various sources including APIs, databases, and third-party services. Ensure data quality, integrity, and consistency across platforms. Implement data warehousing solutions using tools like Snowflake, Redshift, or BigQuery. Collaborate with data analysts and scientists to support analytics and reporting needs. Monitor and troubleshoot data pipelines to ensure performance and reliability. Document data architecture, processes, and standards. Required Skills & Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related field. 5+ years of experience in data engineering or related roles. Strong proficiency in SQL and experience with relational and non-relational databases (e.g., PostgreSQL, MongoDB). Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure). Proficient in programming languages such as Python, Scala, or Java. Experience with workflow orchestration tools like Apache Airflow, Luigi, or Prefect. Familiarity with data modeling, data warehousing, and architecture best practices. Preferred Qualifications: Experience with containerization tools (Docker, Kubernetes). Knowledge of CI/CD pipelines and version control systems (e.g., Git). Exposure to real-time data processing (Kafka, Flink, etc.). Knowledge of data privacy and governance practices.

Roles and Responsibilities Design, implement, and maintain CI/CD pipelines using Jenkins, Docker, Kubernetes, AWS, Python, Linux, Bash Scripting. Collaborate with cross-functional teams to identify areas for improvement in the development process and implement solutions using Agile methodologies. Develop automation scripts using Shell Scripting (Bash) to streamline tasks and improve efficiency. Troubleshoot issues related to pipeline failures or deployments on cloud platforms like AWS. Ensure compliance with security standards by implementing secure coding practices and following best practices for infrastructure management. Desired Candidate Profile 5-8 years of experience in DevOps engineering with expertise in Java/Maven build tools. Strong understanding of Agentic AI concepts and ability to apply them in real-world scenarios. Bachelor's degree in B.Tech/B.E. from a reputed institution; M.Tech preferred but not mandatory.

Key Responsibilities Analyze and validate data during the migration of user knowledge objects from Splunk to ClickHouse and Grafana. Collaborate with engineering teams to ensure data integrity and consistency post-migration. Create and maintain comprehensive reports and dashboards to monitor migration progress and outcomes. Identify discrepancies or data quality issues and work with technical teams to resolve them. Support automation efforts by providing data insights and requirements. Translate complex data findings into clear, actionable recommendations for stakeholders. Required Skills and Qualifications Proven experience as a Data Analyst, preferably with exposure to observability or monitoring data. Strong proficiency in SQL, especially with ClickHouse or similar columnar databases. Experience with data visualization tools such as Grafana or equivalent. Familiarity with Splunk data structures, dashboards, and reports is a plus. Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a POD-based agile team environment. Good communication skills to present data insights effectively. Nice to Have Experience with alerting systems like Bosun. Knowledge of data migration processes and automation tools. Basic scripting skills (Python, Bash) for data manipulation. Understanding of observability concepts and monitoring frameworks.

Key Responsibilities Design and develop scalable data pipelines to migrate user knowledge objects from Splunk to ClickHouse and Grafana. Implement data ingestion, transformation, and validation processes to ensure data integrity and performance. Collaborate with cross-functional teams to automate and optimize data migration workflows. Monitor and troubleshoot data pipeline performance and resolve issues proactively. Work closely with observability engineers and analysts to understand data requirements and deliver solutions. Contribute to the continuous improvement of the observability stack and migration automation tools. Required Skills and Qualifications Proven experience as a Big Data Developer or Engineer working with large-scale data platforms. Strong expertise with ClickHouse or other columnar databases, including query optimization and schema design. Hands-on experience with Splunk data structures, dashboards, and reports. Proficiency in data pipeline development using technologies such as Apache Spark, Kafka, or similar frameworks. Strong programming skills in Python, Java, or Scala. Experience with data migration automation and scripting. Familiarity with Grafana for data visualization and monitoring. Understanding of observability concepts and monitoring systems. Nice to Have Experience with Bosun or other alerting platforms. Knowledge of cloud-based big data services and infrastructure as code. Familiarity with containerization and orchestration tools (Docker, Kubernetes). Experience working in agile POD-based teams.