1794 Data Architecture Jobs - Page 41

Project Role : Technology Architect Project Role Description : Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements. Review and integrate the technical architecture requirements. Provide input into final decisions regarding hardware, network products, system software and security. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Cloud Data ArchitectureMinimum 5 year(s) of experience is required Educational Qualification : BE or MCA Summary :As a Technology Architect, you will be responsible for reviewing and integrating all application requirements, including functional, security, integration, performance, quality, and operations requirements. Your typical day will involve reviewing and integrating technical architecture requirements, providing input into final decisions regarding hardware, network products, system software, and security. Roles & ResponsibilitiesShould have a minimum of 8 years of experience in Databricks Unified Data Analytics Platform. Good experience in implementing data ingestion pipelines from multiple sources and creating end to end data pipeline on Databricks platform Should have strong educational background in technology and information architectures, along with a proven track record of delivering impactful data-driven solutions. Strong requirement analysis and technical solutioning skill in Data and Analytics Client facing role in terms of running solution workshops, client visits, handled large RFP pursuits and managed multiple stakeholders. Technical Experience6 or more years of experience in implementing data ingestion pipelines from multiple sources and creating end to end data pipeline on Databricks platform. 2 or more years of experience using Python, PySpark or Scala. Experience in Databricks on cloud. Exp in any of AWS, Azure or GCPe, ETL, data engineering, data cleansing and insertion into a data warehouse Must have Skills like Databricks, Cloud Data Architecture, Python Programming Language, Data Engineering. Professional AttributesExcellent writing, communication and presentation skills. Eagerness to learn and develop self on an ongoing basis. Excellent client facing and interpersonal skills. Qualification BE or MCA

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities:- Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist.- Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques.- Experience with chatbot , generative AI models, prompt Engineering- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 7 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15 years full time education is required Qualification 15 years full time education

Project Role : Solution Architect Project Role Description : Own the overall solution blueprint and roadmap, work closely with clients to articulate business problems and translate them into an appropriate solution design. Must have skills : Solution Architecture Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary : Summary :As a Data Architect, you will own the overall solution blueprint and roadmap, working closely with clients to articulate business problems and translate them into an appropriate solution design. You will be responsible for providing technical leadership and guidance to the team, ensuring the successful delivery of projects. Roles & Responsibilities:Understand Data & AI business requirements and convert them into technology requirements (like ETL, DQ, BI, AI) Define application architecture diagrams from Data ingestion to Data consumption (AI/BI)Align D&A technology components with application architecture (like Informatica for ETL, Power BI for BI, SAS/Python for AI, Converse for Chatbot) Create ADM effort estimates based on scope & inventory (like XXX man days) Work with Data & AI Capability SMEs and leads for estimation sign offs Create staffing plans based on recommended on/off ratios, pyramid guidelines (like 6 months, 10 FTEs, 3 On & 7 ATCI) Create solution plan decks as a common understanding document for sales and delivery teams (30-40 slides deck) Conduct solution reviews with Global sales leadership /account leads/commercial directors Conduct delivery reviews with Global, ATCI delivery leadership/ DoDs Act a bridge between sales and delivery teams Provide inputs to client facing proposal documents - Why this solution, Why this tech component, Why our organization for this solution etc.Defend the solution (architecture, estimates, staffing etc. ) in various internal and external forums - Client presentations, Capability/delivery/sales MD reviews Provide solution inputs to legal team for SOW/contracting Provide solution hand over to delivery team after winning the deal Professional & Technical Skills: Must To Have Skills: Data Architecture principles or any D&A skills like Informatica, Tableau etc.Experience in designing and implementing scalable and secure solutionsKnowledge of cloud platforms and services such as AWS, Azure, or Google CloudProficient in Microsoft Excel like - Pivots, Drop downs, Data validations, Macros. Good To Have Skills: knowledge in Microsoft Power Point for leadership reporting Experience in working with cross-functional teamsExcellent communication and presentation skills Additional Information:- The candidate should have a minimum of 12 years of experience in Solution Architecture- This position is based at our Mumbai office- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Aveva OSIsoft PI Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will be responsible for designing and delivering technology architecture for a platform, product, or engagement. You will define solutions to meet performance, capability, and scalability needs, contributing to the success of the project. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead technology discussions and provide guidance on architectural decisions.- Stay updated on emerging technologies and trends to incorporate into the architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Aveva OSIsoft PI.- Strong understanding of system integration and data architecture.- Experience in designing and implementing scalable and reliable technology solutions.- Knowledge of cloud technologies and their integration with on-premise systems.- Hands-on experience in conducting technology assessments and recommending improvements. Additional Information:- The candidate should have a minimum of 5 years of experience in Aveva OSIsoft PI.- This position is based at our Pune office.- A 15 years full-time education is required. Qualification 15 years full time education

We are seeking a highly experienced and skilled Data Architect to join our dynamic team. In this pivotal role, you will work directly with our enterprise customers, leveraging your expertise in the Adobe Experience Platform (AEP) to design and implement robust data solutions. The ideal candidate will possess a profound understanding of data modeling, SQL, ETL processes, and customer data architecture, with a proven track record of delivering impactful results in large-scale environments. About the Role : As a Data Architect specializing in AEP, you will be instrumental in transforming complex customer data into actionable insights. You will serve as a technical expert, guiding clients through the intricacies of data integration, standardization, and activation within the Adobe ecosystem. This is an exciting opportunity to lead projects, innovate solutions, and make a significant impact on our clients' data strategies. Key Responsibilities : - Interface directly with Adobe enterprise customers to meticulously gather requirements, design tailored data solutions, and provide expert architectural recommendations. - Foster seamless collaboration with both onshore and offshore engineering teams to ensure efficient and high-quality solution delivery. - Produce comprehensive and clear technical specification documents for the effective implementation of data solutions. - Design and structure sophisticated data models to enable advanced customer-level analytics and reporting. - Develop and implement robust customer ID mapping processes to create a unified and holistic customer view across diverse data sources. - Automate data movement, cleansing, and transformation processes using various scripting languages and tools. - Lead client calls and proactively manage project deliverables, ensuring timelines and expectations are met. - Continuously identify and propose innovative solutions to address complex customer data challenges and optimize data workflows. Requirements : - 10+ years of demonstrable experience in data transformation and ETL processes across large and complex datasets. - 5+ years of hands-on experience in data modeling (Relational, Dimensional, Big Data paradigms). - Profound expertise with SQL/NoSQL databases and a strong understanding of data warehouse concepts. - Proficiency with industry-leading ETL tools (e.g., Informatica, Iil, etc.). - Proven experience with reporting and business intelligence tools such as Tableau and Power BI. - In-depth knowledge of customer-centric datasets (e.g., CRM, Call Center, Marketing Automation platforms, Web Analytics). - Exceptional communication, time management, and multitasking skills, with the ability to articulate complex technical concepts clearly to diverse audiences. - Bachelor's or Masters degree in Computer Science, Data Science, or a closely related quantitative field.

We are seeking a highly experienced and skilled Data Architect to join our dynamic team. In this pivotal role, you will work directly with our enterprise customers, leveraging your expertise in the Adobe Experience Platform (AEP) to design and implement robust data solutions. The ideal candidate will possess a profound understanding of data modeling, SQL, ETL processes, and customer data architecture, with a proven track record of delivering impactful results in large-scale environments. About the Role : As a Data Architect specializing in AEP, you will be instrumental in transforming complex customer data into actionable insights. You will serve as a technical expert, guiding clients through the intricacies of data integration, standardization, and activation within the Adobe ecosystem. This is an exciting opportunity to lead projects, innovate solutions, and make a significant impact on our clients' data strategies. Key Responsibilities : - Interface directly with Adobe enterprise customers to meticulously gather requirements, design tailored data solutions, and provide expert architectural recommendations. - Foster seamless collaboration with both onshore and offshore engineering teams to ensure efficient and high-quality solution delivery. - Produce comprehensive and clear technical specification documents for the effective implementation of data solutions. - Design and structure sophisticated data models to enable advanced customer-level analytics and reporting. - Develop and implement robust customer ID mapping processes to create a unified and holistic customer view across diverse data sources. - Automate data movement, cleansing, and transformation processes using various scripting languages and tools. - Lead client calls and proactively manage project deliverables, ensuring timelines and expectations are met. - Continuously identify and propose innovative solutions to address complex customer data challenges and optimize data workflows. Requirements : - 10+ years of demonstrable experience in data transformation and ETL processes across large and complex datasets. - 5+ years of hands-on experience in data modeling (Relational, Dimensional, Big Data paradigms). - Profound expertise with SQL/NoSQL databases and a strong understanding of data warehouse concepts. - Proficiency with industry-leading ETL tools (e.g., Informatica, Iil, etc.). - Proven experience with reporting and business intelligence tools such as Tableau and Power BI. - In-depth knowledge of customer-centric datasets (e.g., CRM, Call Center, Marketing Automation platforms, Web Analytics). - Exceptional communication, time management, and multitasking skills, with the ability to articulate complex technical concepts clearly to diverse audiences. - Bachelor's or Masters degree in Computer Science, Data Science, or a closely related quantitative field.

We are seeking a highly experienced and skilled Data Architect to join our dynamic team. In this pivotal role, you will work directly with our enterprise customers, leveraging your expertise in the Adobe Experience Platform (AEP) to design and implement robust data solutions. The ideal candidate will possess a profound understanding of data modeling, SQL, ETL processes, and customer data architecture, with a proven track record of delivering impactful results in large-scale environments. About the Role : As a Data Architect specializing in AEP, you will be instrumental in transforming complex customer data into actionable insights. You will serve as a technical expert, guiding clients through the intricacies of data integration, standardization, and activation within the Adobe ecosystem. This is an exciting opportunity to lead projects, innovate solutions, and make a significant impact on our clients' data strategies. Key Responsibilities : - Interface directly with Adobe enterprise customers to meticulously gather requirements, design tailored data solutions, and provide expert architectural recommendations. - Foster seamless collaboration with both onshore and offshore engineering teams to ensure efficient and high-quality solution delivery. - Produce comprehensive and clear technical specification documents for the effective implementation of data solutions. - Design and structure sophisticated data models to enable advanced customer-level analytics and reporting. - Develop and implement robust customer ID mapping processes to create a unified and holistic customer view across diverse data sources. - Automate data movement, cleansing, and transformation processes using various scripting languages and tools. - Lead client calls and proactively manage project deliverables, ensuring timelines and expectations are met. - Continuously identify and propose innovative solutions to address complex customer data challenges and optimize data workflows. Requirements : - 10+ years of demonstrable experience in data transformation and ETL processes across large and complex datasets. - 5+ years of hands-on experience in data modeling (Relational, Dimensional, Big Data paradigms). - Profound expertise with SQL/NoSQL databases and a strong understanding of data warehouse concepts. - Proficiency with industry-leading ETL tools (e.g., Informatica, Iil, etc.). - Proven experience with reporting and business intelligence tools such as Tableau and Power BI. - In-depth knowledge of customer-centric datasets (e.g., CRM, Call Center, Marketing Automation platforms, Web Analytics). - Exceptional communication, time management, and multitasking skills, with the ability to articulate complex technical concepts clearly to diverse audiences. - Bachelor's or Masters degree in Computer Science, Data Science, or a closely related quantitative field.

Design and implement data architecture solutions that align with business requirements Develop and maintain data models, data dictionaries, and data flow diagrams.

Data Architect Kadel Labs is a leading IT services company delivering top-quality technology solutions since 2017, focused on enhancing business operations and productivity through tailored, scalable, and future-ready solutions. With deep domain expertise and a commitment to innovation, we help businesses stay ahead of technological trends. As a CMMI Level 3 and ISO 27001:2022 certified company, we ensure best-in-class process maturity and information security, enabling organizations to achieve their digital transformation goals with confidence and efficiency. Role: Data Architect Experience: 6-10 Yrs Location: Udaipur , Jaipur, Bangalore Domain: Telecom Job Description: We are seeking an experienced Telecom Data Architect to join our team. In this role, you will be responsible for designing comprehensive data architecture and technical solutions specifically for telecommunications industry challenges, leveraging TM forum frameworks and modern data platforms. You will work closely with customers, and technology partners to deliver data solutions that address complex telecommunications business requirements including customer experience management, network optimization, revenue assurance, and digital transformation initiatives. Key Responsibilities: Design and articulate enterprise-scale telecom data architectures incorporating TMforum standards and frameworks, including SID (Shared Information/Data Model), TAM (Telecom Application Map), and eTOM (enhanced Telecom Operations Map) Develop comprehensive data models aligned with TMforum guidelines for telecommunications domains such as Customer, Product, Service, Resource, and Partner management Create data architectures that support telecom-specific use cases including customer journey analytics, network performance optimization, fraud detection, and revenue assurance Design solutions leveraging Microsoft Azure and Databricks for telecom data processing and analytics Conduct technical discovery sessions with telecom clients to understand their OSS/BSS architecture, network analytics needs, customer experience requirements, and digital transformation objectives Design and deliver proof of concepts (POCs) and technical demonstrations showcasing modern data platforms solving real-world telecommunications challenges Create comprehensive architectural diagrams and implementation roadmaps for telecom data ecosystems spanning cloud, on-premises, and hybrid environments Evaluate and recommend appropriate big data technologies, cloud platforms, and processing frameworks based on telecom-specific requirements and regulatory compliance needs. Design data governance frameworks compliant with telecom industry standards and regulatory requirements (GDPR, data localization, etc.) Stay current with the latest advancements in data technologies including cloud services, data processing frameworks, and AI/ML capabilities Contribute to the development of best practices, reference architectures, and reusable solution components for accelerating proposal development Required Skills: 6-10 years of experience in data architecture, data engineering, or solution architecture roles with at least 5 years in telecommunications industry Deep knowledge of TMforum frameworks including SID (Shared Information/Data Model), eTOM, TAM, and their practical implementation in telecom data architectures Demonstrated ability to estimate project efforts, resource requirements, and implementation timelines for complex telecom data initiatives Hands-on experience building data models and platforms aligned with TMforum standards and telecommunications business processes Strong understanding of telecom OSS/BSS systems, network management, customer experience management, and revenue management domains Hands-on experience with data platforms including Databricks, and Microsoft Azure in telecommunications contexts Experience with modern data processing frameworks such as Apache Kafka, Spark and Airflow for real-time telecom data streaming Proficiency in Azure cloud platform and its respective data services with an understanding of telecom-specific deployment requirements Knowledge of system monitoring and observability tools for telecommunications data infrastructure Experience implementing automated testing frameworks for telecom data platforms and pipelines Familiarity with telecom data integration patterns, ETL/ELT processes, and data governance practices specific to telecommunications Experience designing and implementing data lakes, data warehouses, and machine learning pipelines for telecom use cases Proficiency in programming languages commonly used in data processing (Python, Scala, SQL) with telecom domain applications Understanding of telecommunications regulatory requirements and data privacy compliance (GDPR, local data protection laws) Excellent communication and presentation skills with ability to explain complex technical concepts to telecom stakeholders Strong problem-solving skills and ability to think creatively to address telecommunications industry challenges Good to have TMforum certifications or telecommunications industry certifications Relevant data platform certifications such as Databricks, Azure Data Engineer are a plus Willingness to travel as required Educational Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Visit us: https://kadellabs.com/ https://in.linkedin.com/company/kadel-labs https://www.glassdoor.co.in/Overview/Working-at-Kadel-Labs-EI_IE4991279.11,21.htm

INNsight.com is looking for a Software Engineer with experience in PHP (Codeigniter preferred), MySQL, JavaScript, XML, and a strong understanding of development processes, database architecture, load, and performance, and is familiar with industry standards. You will ensure that these components and the overall application are robust and easy to maintain. In addition, you will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem-solving and sophisticated design in quality products is essential. We offer a professional platform for engineers to gain rich experience and work with some of the best minds in the industry. RESPONSIBILITIES AND DUTIES: Design, build, document, and maintain efficient, reusable, and reliable codes by setting expectations and feature priorities throughout the development life cycle. Identify bottlenecks and bugs, and recommend system solutions by comparing the advantages and disadvantages of custom development. Designing database schemas that represent and support business processes. Contributing to team meetings troubleshooting development and production problems across multiple environments and operating platforms. Ability to work with clients to identify business challenges and contribute to client deliverables by refining, analyzing, and structuring relevant data. Logical thinking and problem-solving skills, along with an ability to collaborate. Ability to assess the current processes, identify improvement areas, and suggest technology solutions.

Bachelors in computer science, Information Systems, or a related field Minimum of 10+ years of experience in data architecture with a minimum of 1-3 years of experience in healthcare domain Strong hands-on experience with Cloud databases such as Snowflake, Aurora, Google BigQuery etc. Experience in designing OLAP and OLTP systems for efficient data analysis and processing. Strong handson experience with enterprise BI/Reporting tools like (Looker, AWS QuickSight, PowerBI, Tableau and Cognos). A strong understanding of HIPAA regulations and healthcare data privacy laws is a must-have for this role, as the healthcare domain requires strict adherence to data privacy and security regulations. Experience in data privacy and tokenization tools like Immuta, Privacera, Privitar OpenText and Protegrity. Experience with multiple full life-cycle data warehouse/transformation implementations in the public cloud (AWS, Azure, and GCP) with Deep technical knowledge in one. Proven experience working as an Enterprise Data Architect or a similar role, preferably in large-scale organizations. Proficient in Data modelling (Star Schema (de-normalized data model), Transactional Model (Normalized data model) using tools like Erwin. Experience with ETL/ETL architecture and integration (Matillion, AWS GLUE, Google PLEX, Azure Data Factory etc) Deep understanding of data architectures that utilize Data Fabric, Data Mesh, and Data Products implementation. Business & financial acumen to advise on product planning, conduct research & analysis, and identify the business value of new and emerging technologies. Strong SQL and database skills working with large structured and unstructured data. Experienced in Implementation of data virtualization, and semantic model driven architecture. System development lifecycle (SDLC), Agile Development, DevSecOps, and standard software development tools such as Git and Jira Excellent written and oral communication skills to convey key choices, recommendations, and technology concepts to technical and non-technical audiences. Familiarity with AI/MLOps concepts and Generative AI technology.

We are seeking a detail-oriented Data Architect to design and implement robust data architecture and frameworks that support enterprise-level platforms. These platforms serve as central repositories for product asset data, enabling data-driven decision-making and supporting both field and digital services. Required Skills: Expertise in data modeling and design principles Proficiency in database management systems (e.g., SQL, NoSQL) Strong analytical and problem-solving skills Experience with data warehousing and ETL processes Experience with BI tools such as Power BI, Tableau, Quicksight Ability to create and manage complex data models Excellent communication and collaboration skills Experience with data governance and data security practices Good knowledge of Master Data Management (MDM) Familiarity with Salesforce environments Experience with cloud platforms such as AWS Basic knowledge of integration platforms (e.g., SnapLogic, Informatica CAI) Qualifications: 7+ years of experience in data architecture, database design, or related roles 5+ years of experience designing and implementing enterprise data solutions Proven experience with data modeling and architecture design methodologies Demonstrated experience with both relational and non-relational database systems Experience leading data architecture for major transformation initiatives or system implementations Track record of translating business requirements into effective data solutions Bachelor's degree in Computer Science, Information Systems, or a related field. Roles and Responsibilities Create blueprints for data management systems that ensure scalability, performance, and alignment with business needs Define and enforce data standards, principles, and models across the organization Ensure data quality, security, and governance are maintained at all levels Collaborate with business and technical stakeholders to align data strategies with enterprise goals Maintain consistency in data architecture practices and documentation Improve system performance through testing, troubleshooting, and integration of new technologies Lead data migration and transformation initiatives during major deployments

About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 12 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our growth trajectory continues, as we reported $1,231M annual revenue (16% Y-o-Y). Along with our growth, we’ve onboarded over 4900 new employees in the past year, bringing our total employee count to over 23,500+ people located in 19 countries across the globe. Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. For more details please login to www.persistent.com About The Position We are looking for an experienced Java Lead to be responsible for providing solutions for technical issues which may affect product delivery. You will facilitate requirement analyses, conduct peer reviews, and provide feedback, and enhance frameworks. To be successful as a Java technical lead, you should demonstrate sound knowledge of industry best practices, good organizational and leadership skills, and proficiency in Java technologies. Ultimately, as a top-notch Java technical lead, you should have good analytical skills, the ability to anticipate issues and frame remedial actions, and excellent teamwork skills. What You?ll Do Develop and support JMS based integration solutions, and API (based on REST principles and architecture) for internal applications third party systems integration scenarios Participate in architecture, design, implementation, deployment, and support Participate in physical design and development planning meetings to help determine the best solution to accommodate the business need Partner with the entire technical team to determine systems planning, scheduling and implementation timeline to ensure the appropriate timing is set to ensure the project can be completed in scheduled time Understand and develop software to support technical specifications for software Use technical knowledge of standard development concepts, practices, and procedures Write, develop, and continuously unit test software that meet the needs of the design specifications Create and review technical specifications and test plans Perform functional testing of software to ensure software is performing appropriately and at an optimal level Identify and escalate issues that impact project performance Expertise You?ll Bring Experience:3+ years as software architect or technical lead 3 ? 5 years working within presentation layer technologies (JQuery, JavaScript, CSS3.0, HTML5.0, DHTML, Ajax, DOJO) Working with logical and physical data models Working on agile projects and leading implementation of agile processes. Skills: Design, model, implement, and test high performance software for mission critical applications Define or influence technology strategy Comfort in interacting regularly with both technical subject matter experts and business owners of all organizational levels Strong communication and influencing skills with the ability to tailor their approach to dealing with senior members of the business, architecture teams and developers Knowledge: Java frameworks and libraries (Spring, Hibernate, JEE, JDBC, JMS, JMX) Oracle Object-oriented design and development (OOA / OOD) and the J2EE framework and data architectures Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage : group term life , personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Let's unleash your full potential. See Beyond, Rise Above

About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 12 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our growth trajectory continues, as we reported $1,231M annual revenue (16% Y-o-Y). Along with our growth, we’ve onboarded over 4900 new employees in the past year, bringing our total employee count to over 23,500+ people located in 19 countries across the globe. Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. For more details please login to www.persistent.com About The Position We are looking for a Big Data Developer to carry out coding or programming of Hadoop applications and developing software using Hadoop technologies like Spark, Scala, Python, Hbase, Hive, Cloudera. In this role, you will need to concentrate in creating, testing, implementing, and monitoring applications designed to meet the organization?s strategic goals. What You?ll Do Develop (Coding) for Hadoop, Spark and Java and Angular Js Collaborate with like-minded team members to establish best practices, identify optimal technical solutions (20%) Review code and provide feedback relative to best practices; improve performance Design, develop and test a large-scale, custom distributed software system using the latest Java, Scala and Big Data technologies Adhere to appropriate SDLC and Agile practices Contribute actively to the technological strategy definition (design, architecture and interfaces) in order to effectively respond to our client?s business needs Participate in technological watch and the definition of standards to ensure that our systems and data warehouses are efficient, resilient and durable Provide guidance and coaching to associate software developers Use Informatica or similar products, with an understanding of heterogeneous data replication technique Conduct performance tuning, improvement, balancing, usability and automation Expertise You?ll Bring Experience developing code on distributed databases using Spark, HDFS, Hive 3+ years of experience in Application Developer / Data Architect, or equivalent role Strong knowledge of data and data models Good understanding of data consumption patterns by business users Solid understanding of business processes and structures Basic knowledge of the securities trading business and risk Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage : group term life , personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment •We offer hybrid work options and flexible working hours to accommodate various needs and preferences. •Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. Let's unleash your full potential at Persistent. See Beyond, Rise Above.

About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 12 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our growth trajectory continues, as we reported $1,231M annual revenue (16% Y-o-Y). Along with our growth, we’ve onboarded over 4900 new employees in the past year, bringing our total employee count to over 23,500+ people located in 19 countries across the globe. Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. For more details please login to www.persistent.com About The Position We are looking for a Big Data Developer to carry out coding or programming of Hadoop applications and developing software using Hadoop technologies like Spark, Scala, Python, Hbase, Hive, Cloudera. In this role, you will need to concentrate in creating, testing, implementing, and monitoring applications designed to meet the organization?s strategic goals. What You?ll Do Develop (Coding) for Hadoop, Spark and Java and Angular Js Collaborate with like-minded team members to establish best practices, identify optimal technical solutions (20%) Review code and provide feedback relative to best practices; improve performance Design, develop and test a large-scale, custom distributed software system using the latest Java, Scala and Big Data technologies Adhere to appropriate SDLC and Agile practices Contribute actively to the technological strategy definition (design, architecture and interfaces) in order to effectively respond to our client?s business needs Participate in technological watch and the definition of standards to ensure that our systems and data warehouses are efficient, resilient and durable Provide guidance and coaching to associate software developers Use Informatica or similar products, with an understanding of heterogeneous data replication technique Conduct performance tuning, improvement, balancing, usability and automation Expertise You?ll Bring Experience developing code on distributed databases using Spark, HDFS, Hive 3+ years of experience in Application Developer / Data Architect, or equivalent role Strong knowledge of data and data models Good understanding of data consumption patterns by business users Solid understanding of business processes and structures Basic knowledge of the securities trading business and risk Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage : group term life , personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment •We offer hybrid work options and flexible working hours to accommodate various needs and preferences. •Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. Let's unleash your full potential at Persistent. See Beyond, Rise Above.

About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 12 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our growth trajectory continues, as we reported $1,231M annual revenue (16% Y-o-Y). Along with our growth, we’ve onboarded over 4900 new employees in the past year, bringing our total employee count to over 23,500+ people located in 19 countries across the globe. Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. For more details please login to www.persistent.com About The Position We are looking for an experienced Java Lead to be responsible for providing solutions for technical issues which may affect product delivery. You will facilitate requirement analyses, conduct peer reviews, and provide feedback, and enhance frameworks. To be successful as a Java technical lead, you should demonstrate sound knowledge of industry best practices, good organizational and leadership skills, and proficiency in Java technologies. Ultimately, as a top-notch Java technical lead, you should have good analytical skills, the ability to anticipate issues and frame remedial actions, and excellent teamwork skills. What You?ll Do Develop and support JMS based integration solutions, and API (based on REST principles and architecture) for internal applications third party systems integration scenarios Participate in architecture, design, implementation, deployment, and support Participate in physical design and development planning meetings to help determine the best solution to accommodate the business need Partner with the entire technical team to determine systems planning, scheduling and implementation timeline to ensure the appropriate timing is set to ensure the project can be completed in scheduled time Understand and develop software to support technical specifications for software Use technical knowledge of standard development concepts, practices, and procedures Write, develop, and continuously unit test software that meet the needs of the design specifications Create and review technical specifications and test plans Perform functional testing of software to ensure software is performing appropriately and at an optimal level Identify and escalate issues that impact project performance Expertise You?ll Bring Experience:3+ years as software architect or technical lead 3 ? 5 years working within presentation layer technologies (JQuery, JavaScript, CSS3.0, HTML5.0, DHTML, Ajax, DOJO) Working with logical and physical data models Working on agile projects and leading implementation of agile processes. Skills: Design, model, implement, and test high performance software for mission critical applications Define or influence technology strategy Comfort in interacting regularly with both technical subject matter experts and business owners of all organizational levels Strong communication and influencing skills with the ability to tailor their approach to dealing with senior members of the business, architecture teams and developers Knowledge: Java frameworks and libraries (Spring, Hibernate, JEE, JDBC, JMS, JMX) Oracle Object-oriented design and development (OOA / OOD) and the J2EE framework and data architectures Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage : group term life , personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment •We offer hybrid work options and flexible working hours to accommodate various needs and preferences. •Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. Let's unleash your full potential. See Beyond, Rise Above.

About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 12 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our growth trajectory continues, as we reported $1,231M annual revenue (16% Y-o-Y). Along with our growth, we’ve onboarded over 4900 new employees in the past year, bringing our total employee count to over 23,500+ people located in 19 countries across the globe. Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. For more details please login to www.persistent.com About The Position We are looking for an experienced Java Lead to be responsible for providing solutions for technical issues which may affect product delivery. You will facilitate requirement analyses, conduct peer reviews, and provide feedback, and enhance frameworks. To be successful as a Java technical lead, you should demonstrate sound knowledge of industry best practices, good organizational and leadership skills, and proficiency in Java technologies. Ultimately, as a top-notch Java technical lead, you should have good analytical skills, the ability to anticipate issues and frame remedial actions, and excellent teamwork skills. What You?ll Do Develop and support JMS based integration solutions, and API (based on REST principles and architecture) for internal applications third party systems integration scenarios Participate in architecture, design, implementation, deployment, and support Participate in physical design and development planning meetings to help determine the best solution to accommodate the business need Partner with the entire technical team to determine systems planning, scheduling and implementation timeline to ensure the appropriate timing is set to ensure the project can be completed in scheduled time Understand and develop software to support technical specifications for software Use technical knowledge of standard development concepts, practices, and procedures Write, develop, and continuously unit test software that meet the needs of the design specifications Create and review technical specifications and test plans Perform functional testing of software to ensure software is performing appropriately and at an optimal level Identify and escalate issues that impact project performance Expertise You?ll Bring Experience:3+ years as software architect or technical lead 3 ? 5 years working within presentation layer technologies (JQuery, JavaScript, CSS3.0, HTML5.0, DHTML, Ajax, DOJO) Working with logical and physical data models Working on agile projects and leading implementation of agile processes. Skills: Design, model, implement, and test high performance software for mission critical applications Define or influence technology strategy Comfort in interacting regularly with both technical subject matter experts and business owners of all organizational levels Strong communication and influencing skills with the ability to tailor their approach to dealing with senior members of the business, architecture teams and developers Knowledge: Java frameworks and libraries (Spring, Hibernate, JEE, JDBC, JMS, JMX) Oracle Object-oriented design and development (OOA / OOD) and the J2EE framework and data architectures Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage : group term life , personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment •We offer hybrid work options and flexible working hours to accommodate various needs and preferences. •Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. Let's unleash your full potential. See Beyond, Rise Above

About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 12 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem. Our growth trajectory continues, as we reported $1,231M annual revenue (16% Y-o-Y). Along with our growth, we’ve onboarded over 4900 new employees in the past year, bringing our total employee count to over 23,500+ people located in 19 countries across the globe. Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. For more details please login to www.persistent.com About The Position We are looking for a Big Data Developer to carry out coding or programming of Hadoop applications and developing software using Hadoop technologies like Spark, Scala, Python, Hbase, Hive, Cloudera. In this role, you will need to concentrate in creating, testing, implementing, and monitoring applications designed to meet the organization?s strategic goals. What You?ll Do Develop (Coding) for Hadoop, Spark and Java and Angular Js Collaborate with like-minded team members to establish best practices, identify optimal technical solutions (20%) Review code and provide feedback relative to best practices; improve performance Design, develop and test a large-scale, custom distributed software system using the latest Java, Scala and Big Data technologies Adhere to appropriate SDLC and Agile practices Contribute actively to the technological strategy definition (design, architecture and interfaces) in order to effectively respond to our client?s business needs Participate in technological watch and the definition of standards to ensure that our systems and data warehouses are efficient, resilient and durable Provide guidance and coaching to associate software developers Use Informatica or similar products, with an understanding of heterogeneous data replication technique Conduct performance tuning, improvement, balancing, usability and automation Expertise You?ll Bring Experience developing code on distributed databases using Spark, HDFS, Hive 3+ years of experience in Application Developer / Data Architect, or equivalent role Strong knowledge of data and data models Good understanding of data consumption patterns by business users Solid understanding of business processes and structures Basic knowledge of the securities trading business and risk Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage : group term life , personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment •We offer hybrid work options and flexible working hours to accommodate various needs and preferences. •Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. Let's unleash your full potential at Persistent. See Beyond, Rise Above.

Hi, Job Description Summary The Sr. Engineer, Data Modeler will be responsible for shaping and managing the data models and architecture, enabling the organization to store, analyze, and leverage large-scale healthcare data efficiently. This includes developing and implementing reliable, scalable, and effective data models for various data warehouse solutions using cutting-edge tools such as Fivetran, DBT, Snowflake, AWS, Atlan, Erwin ER Diagrams , and Sigma Computing. This role will collaborate with a diverse set of stakeholders to develop a comprehensive data architecture that supports decision-making, reporting, analytics, and data governance. This role requires significant experience with dimensional models, RDBMS, cloud platforms, and ETL processes. This role will be responsible for defining and designing data models that support data governance, data quality, and master data management (MDM), while also working with stakeholders to implement data-driven solutions that enhance business outcomes in the healthcare sector. A strong focus will be placed on creating a trusted data environment by ensuring accurate data mapping, implementing Golden Record practices. Job Description Data Modeling & Architecture: Design and implement conceptual, logical, and physical data models, including Entity-Relationship (ER) models, Star Schema, Snowflake Schema, Data Vault Modeling, and Dimensional Modeling. Lead the design of normalized and denormalized structures to meet business requirements and ensure optimal performance of the Data Warehouse and Data Marts. Collaborate with business and technical teams to map business requirements to data models, ensuring that Master Data Management (MDM) processes and Golden Record concepts are well-defined. Build and maintain a comprehensive Business Glossary and Data Dictionary to standardize definitions and ensure consistency across the organization. Data Lineage & Mapping: Ensure that data lineage is accurately defined, visualized, and documented across the Data Warehouse environment. Oversee the data mapping process to track the flow of data from source to destination, ensuring consistency, integrity, and transparency of data throughout its lifecycle. Data Governance & Quality: Implement Data Governance processes to manage data access, quality, security, and compliance. Define and enforce Data Quality standards and practices, including Data Cleansing, to ensure data integrity and accuracy within the data warehouse environment. Work with stakeholders to establish governance frameworks for Data Lineage, ensuring data traceability, and transparency across the platform. Work with data architects and IT leadership to establish guidelines for data access, data security, and lifecycle management. Real-Time Data Ingestion & Change Data Capture (CDC): Design and implement real-time data ingestion pipelines using Kafka, AWS Kinesis, or Snowpipe to enable streaming data integration into the data warehouse. Implement Change Data Capture (CDC) mechanisms to efficiently capture and propagate data changes from operational systems using tools such as Fivetran or AWS, Lambda. Ensure low-latency processing, incremental updates, and data availability for real-time analytics and reporting. Quality Assurance & Continuous Improvement: Ensure high standards for data quality through rigorous testing, data validation, and performance optimization. Continuously evaluate and improve data modeling processes, tools, and methodologies. Automation & Process Improvement: Work with Data Engineers and development teams to improve data platform automation and enhance the data modeling lifecycle. Continuously monitor, test, and optimize data models and pipelines to ensure scalability, flexibility, and performance of the Data Warehouse. Documentation & Reporting: Maintain clear and up-to-date documentation for data models, data lineage, data mappings, and architectural decisions. Create and present technical diagrams, such as Entity-Relationship Diagrams (ERDs), to stakeholders and ensure alignment with business objectives. Platform Design & Deployment: Develop data architecture for the analytics platform on Snowflake and integrate with other AWS tools for robust data management. Work closely with data engineers to automate data pipeline deployments and updates using Fivetran, DBT, and cloud-based solutions. Stakeholder Collaboration: Partner with Product Manager, and other technical teams to define requirements and deliver optimal data architecture solutions. Conduct regular meetings to communicate technical decisions and ensure alignment with business goals and strategy. Contribute to proposal creation and RFP submissions, ensuring technical feasibility and best practices. Documentation & Reporting: Document all design decisions and data models, adhering to existing guidelines and ensuring clear communication across teams. Create presentations and visual data architecture diagrams for internal and external stakeholders. Perform other duties that support the overall objective of the position. Education Required: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Masters degree or certifications in Data Architecture, Cloud Technologies, or related areas is a plus. Or, any combination of education and experience which would provide the required qualifications for the position. Experience Required: 6+ to 10 years in Data Modeling and Data 6+ to 10 years of hands-on experience in data modeling, data architecture, or information architecture with a focus on large-scale data warehouses. 6+ years of experience with dimensional models and relational database management systems (SQL Server, Oracle, DB2, etc.). 5+ years of experience with cloud technologies, especially AWS services and tools. Experience with ETL tools and automation (e.g., Fivetran, DBT ). Experience with data governance, data quality frameworks, and metadata management. Preferred: Experience in healthcare data modeling and data warehousing. Expertise in AWS environments. Hands-on experience with data integration and cloud automation tools. Familiarity with business intelligence tools (e.g., Sigma Computing). Understanding of healthcare-specific data governance, regulatory frameworks, and security compliance (e.g., HIPAA). Knowledge, Skills & Abilities: Knowledge of: Solid understanding of Data Vault, Star Schema, Snowflake Schema, and dimensional modeling. Proficient in SQL and experience with cloud-based data warehouse solutions such as Snowflake. Familiarity with AWS cloud services, Sigma Computing, Atlan, and Erwin ER diagrams. Skill in: Excellent communication skills to engage with both technical and non-technical stakeholders. Strong analytical and problem-solving skills to design scalable and efficient data models. Ability to: Ability to take ownership of deliverables, manage multiple tasks, and work effectively within an Agile methodology. Proven leadership ability to coach and mentor junior team members.

We are looking for a Senior Data Engineer to join our data engineering team and lead the design and implementation of scalable, high-performance data solutions. The ideal candidate will have extensive... We are looking for a Senior Data Engineer to join our data engineering team and lead the design and implementation of scalable, high-performance data solutions. The ideal candidate will have extensive experience with Python, Databricks, AWS platforms, and strong hands-on skills Docker. You will play a key role in integrating data with client s vendors, specifically Flat File exchange for now, but new vendors will be API integrations. Key Responsibilities Design and implement scalable ETL/ELT pipelines using Databricks and Apache Spark. Develop, maintain, and optimise SQL and PL/SQL scripts for data extraction, transformation, and loading from Oracle and other relational databases. Write robust, reusable, and optimised Python and Shell scripts for data automation and workflow orchestration. Manage data ingestion and integration processes across structured and unstructured sources. Deploy and manage code using GitHub for version control and collaboration. Monitor, troubleshoot, and improve performance of data pipelines and jobs. Required Skills & Experience 6+ years of experience in data engineering with large-scale data systems. Strong proficiency in Databricks, Python, AWS S3 buckets, and Docker Solid experience with SQL, PL/SQL. Advanced programming in Python for data transformation and automation. Hands-on experience with GitHub for code versioning, branching, and collaboration. Familiar with data quality frameworks and best practices in data architecture. Lake house architecture implementation experience

Design and lead scalable data architectures, cloud solutions, and analytics platforms using Azure. Drive data governance, pipeline optimization, and team leadership to enable business-aligned data strategies in the Oil & Gas sector Required Candidate profile Experienced data architect or leader with 10–15+ years in Azure, big data, and solution design. Strong in stakeholder management, data governance, and Oil & Gas analytics.

Location: Remote- Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai Notice Period: Immediate iSource Services is hiring for one of their client for the position of Data Architect. About the Role - Experience in architecting with AWS or Azure Cloud Data Platform Successfully implemented large scale data warehouse data lake solutions in snowflake or AWS Redshift Be proficient in Data modelling and data architecture design experienced in reviewing 3rd Normal Form and Dimensional models. Implementing Master data management, process design and implementation Implementing Data quality solutions including processes IOT Design using AWS or Azure Cloud platforms Designing and implementing machine learning solutions as part of high-volume data ingestion and transformation Working with structured and unstructured data including geo-spatial data Experience in technologies like python, SQL, no SQL, KAFKA, Elastic Search Experience using snowflake, informatica, azure logic apps, azure functions, azure storage, azure data lake and azure search.

Job Description We are seeking a highly skilled and motivated Senior Snowflake Developer to join our growing data engineering team. In this role, you will be responsible for building scalable and secure data pipelines and Snowflake-based architectures that power data analytics across the organization. You ll collaborate with business and technical stakeholders to design robust solutions in an AWS environment and play a key role in driving our data strategy forward. Responsibilities Design, develop, and maintain efficient and scalable Snowflake data warehouse solutions on AWS. Build robust ETL/ELT pipelines using SQL, Python, and AWS services (e.g., Glue, Lambda, S3). Collaborate with data analysts, engineers, and business teams to gather requirements and design data models aligned with business needs. Optimize Snowflake performance through best practices in clustering, partitioning, caching, and query tuning. Ensure data quality, accuracy, and completeness across data pipelines and warehouse processes. Maintain documentation and enforce best practices for data architecture, governance, and security. Continuously evaluate tools, technologies, and processes to improve system reliability, scalability, and performance. Ensure compliance with relevant data privacy and security regulations (e.g., GDPR, CCPA). Qualifications Bachelor s degree in Computer Science, Information Technology, or a related field. Minimum 6 years of experience in data engineering, with at least 3 years of hands-on experience with Snowflake. Strong experience working with AWS services such as S3, Glue, Lambda, Redshift, and IAM. Proficient in SQL and Python for data transformation and scripting. Solid understanding of data modeling principles (Star/Snowflake schema, normalization/denormalization). Experience in performance tuning and Snowflake optimization techniques. Excellent problem-solving skills and ability to work independently or as part of a team. Strong communication skills, both written and verbal.

Job Description We are seeking a seasoned Data Engineering Manager with 8+ years of experience to lead and grow our data engineering capabilities. This role demands strong hands-on expertise in Python, SQL, Spark , and advanced proficiency in AWS and Databricks . As a technical leader, you will be responsible for architecting and optimizing scalable data solutions that enable analytics, data science, and business intelligence across the organization. Key Responsibilities: Lead the design, development, and optimization of scalable and secure data pipelines using AWS services such as Glue, S3, Lambda, EMR , and Databricks Notebooks , Jobs, and Workflows. Oversee the development and maintenance of data lakes on AWS Databricks , ensuring performance and scalability. Build and manage robust ETL/ELT workflows using Python and SQL , handling both structured and semi-structured data. Implement distributed data processing solutions using Apache Spark / PySpark for large-scale data transformation. Collaborate with cross-functional teams including data scientists, analysts, and product managers to ensure data is accurate, accessible, and well-structured. Enforce best practices for data quality, governance, security , and compliance across the entire data ecosystem. Monitor system performance, troubleshoot issues, and drive continuous improvements in data infrastructure. Conduct code reviews, define coding standards, and promote engineering excellence across the team. Mentor and guide junior data engineers, fostering a culture of technical growth and innovation. Qualifications Requirements 8+ years of experience in data engineering with proven leadership in managing data projects and teams. Expertise in Python, SQL, Spark (PySpark) , and experience with AWS and Databricks in production environments. Strong understanding of modern data architecture, distributed systems, and cloud-native solutions. Excellent problem-solving, communication, and collaboration skills. Prior experience mentoring team members and contributing to strategic technical decisions is highly desirable.

Please Note: 1. If you are a first time user, please create your candidate login account before you apply for a job. (Click Sign In > Create Account) 2. If you already have a Candidate Account, please Sign-In before you apply. Job Description: About Us Join the Avi Application Load Balancer Analytics team which plays a critical role in driving insights, performance optimization, and intelligent automation across our platforms. Beyond our daily responsibilities, our team has a proven history of innovation, with an impressive portfolio of multiple patents. We encourage and support each other in exploring new ideas and turning them into deployable solutions, fostering a culture of creativity and intellectual curiosity. We re looking for a seasoned Staff Engineer to lead complex analytics initiatives that intersect big data, AI/ML, distributed systems, and high-performance computing. This is an on-site position in Bangalore, India, where you will be part of a larger cross-border team of smart and motivated engineers located both in Bangalore, India and Palo Alto, USA while enjoying the autonomy and support to express yourself creatively and deliver at your best. What You ll Do Architect and lead the design of scalable, high-performance data analytics platforms and systems. Develop and optimize services using GoLang, C++, and Python for ingesting, processing, and analyzing massive volumes of telemetry and network data. Implement data pipelines and analytics workflows across SQL/NoSQL databases (e.g., PostgreSQL, TimescaleDB, Redis, etc.). Build and manage search and indexing systems using OpenSearch or Lucene , ensuring low-latency querying and efficient data retrieval. Design and enforce strong data modeling practices across structured and unstructured data sources. Collaborate closely with ML engineers to deploy AI/ML models for predictive analytics, anomaly detection, and intelligent insights. Must have - 15+ years of experience in software/data engineering, preferably within large-scale networking, cloud infrastructure, or data platforms. Expertise in GoLang, C++, and Python with production-level experience in performance-critical systems. Deep understanding of SQL and NoSQL databases , their tradeoffs, scaling strategies, and schema design. Strong hands-on experience with search technologies such as OpenSearch, Lucene , or Elasticsearch. Proven experience with data modeling , pipeline optimization, and data architecture. Solid foundation in AI/ML concepts with applied experience in deploying models into production analytics systems. Strong communication and leadership skills with a passion for mentorship and technical excellence. Nice to Have - A strong background in networking; with proven experience in building high performance networking appliances Experience in telemetry, network data analytics, or observability systems. Familiarity with Kubernetes, Kafka, Spark, or similar distributed systems technologies.