7 Data Reliability Jobs

As a Senior Data Engineer at SR Analytics in Pune, you will be responsible for designing, constructing, and maintaining scalable data management systems on Azure Cloud. Your role will involve developing and optimizing data pipelines and architectures using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to ensure that systems meet business requirements and industry best practices. You will integrate new Azure-based technologies and software engineering tools into existing data structures, develop processes for data mining, modeling, and production with Azure SQL Database, Cosmos DB, among others. In addition, you will be required to build and maintain custom software components and analytics applications on Azure, leveraging a variety of languages and tools such as Python, SQL, and Azure Functions. Collaboration with cross-functional teams, including data architects, modelers, and engineers, to align on long-term goals for the data platform, will be an essential part of your role. You will also optimize and recommend ways to improve data reliability, efficiency, and quality, conducting research to address complex industry and business problems using Azure-based solutions. Providing strategic input on the overall data platform architecture using Azure Data Lake Storage and Azure Blob Storage will also be expected from you. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, with a minimum of 4 years of experience as a Data Engineer, Software Developer, or in a similar role. Strong hands-on experience with Azure Cloud technologies like Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake is mandatory. Proficiency in SQL, Python, Java, or other scripting languages, along with experience in relational databases and NoSQL databases on Azure, is required. Strong analytical and problem-solving skills, familiarity with DevOps practices, including CI/CD pipelines in Azure DevOps, and excellent communication skills to explain technical concepts to non-technical stakeholders are also necessary. Having experience with machine learning on Azure, knowledge of Power BI for data visualization, or possessing certifications in Azure Data Engineer or Azure Solutions Architect will be considered an added advantage. This opportunity is for individuals who are passionate about Azure Cloud technologies and are ready to take on the challenge in a fast-paced environment. If you are excited about this role and meet the requirements, we encourage you to apply now to join our team at SR Analytics.,

You will be responsible for managing automation projects activities assigned as new or operational enhancement initiatives in R&D functional areas. Your tasks will include contributing to designing, implementing, configuring & testing automation systems, applications & tools, instruments and device interfacing architectures. Additionally, you will be developing project proposals, detailed design specifications, operations & control philosophy, technical recommendations, user and training manuals. You will also contribute to validations & certifications during factory acceptance & site acceptance testing for automation systems and integration packages, and coordinate with basic & detailed engineering partners during project designing and execution stages. Troubleshooting user issues related to data acquisition, tag configuration, historian management, custom definitions, query management, and alert monitoring will be part of your responsibilities. You will be expected to monitor performance and conduct periodic auditing to ensure uptime availability and improve the effectiveness of the implemented automation system. Reviewing & updating SOPs, SMPs, procedures, and guidelines documentation will also be essential. Conducting user awareness & trainings to increase adoption and system usage, ensuring periodic back-ups of process data, databases & system configurations, as well as monitoring & auditing compliance with site HSE procedures/practices and Information security requirements are also key tasks. You should hold a B.E. / B.Tech in Electronics, Computer Science, Instrumentation, Industrial Automation, Biotechnology from a reputed institute. The ideal candidate will have 6-8 years of experience as laboratory informatics, data engineer, database administrator, application developer, managing scientific tools, applications & analytical lab instrument data management, and 3-4 years of experience as a research data scientist, data engineer managing systems and application development in a scientific or research organization. Skills and competencies required for this role include an aptitude towards information, communication and network technology to design, build and maintain automation systems, applications & interfaces. In-depth knowledge of Laboratory informatics, SQL, and scientific databases is essential. Proficiency in Computer Science fundamentals and general-purpose programming languages is a must. You should be able to design, construct, install, test and maintain highly scalable data management systems, ensuring they meet business requirements and industry practices. Building high-performance algorithms, prototypes, predictive models, and proof of concepts, researching opportunities for data acquisition and new uses for existing data, developing data set processes for data modeling, mining, and production, integrating new data management technologies and software engineering tools into existing structures, creating custom software components and analytics applications by employing a variety of languages & tools, having working knowledge of Data warehousing and application of various ETL tools, applying machine learning algorithms and libraries, recommending ways to improve data reliability, efficiency, and quality, collaborating with data architects, data scientists, and analysts on project goals, having strong analytical skills, being a self-starter with a passion for excellence, applying innovative ideas in problem-solving with reasoning skills, having an aptitude to understand diverse functional domains for relevant projects, and being a team player with strong coordination and communication skills. The successful candidate should possess a combination of technical expertise, problem-solving skills, and excellent communication abilities to excel in this role.,

A Career at HARMAN Automotive: Join a global, multi-disciplinary team at HARMAN Automotive where you can fast-track your career by utilizing the innovative power of technology to transform tomorrow. As part of our team, you will engineer audio systems and integrated technology platforms that enhance the driving experience. By combining ingenuity, in-depth research, collaboration, design, and engineering excellence, you will contribute to advancing in-vehicle infotainment, safety, efficiency, and enjoyment. About the Role: As a Data Collection Manager in our Automotive AI Lab, you will play a pivotal role in shaping data-driven products at HARMAN Automotive. Your responsibilities will include ensuring that development and validation teams have access to the necessary datasets. You will collaborate with data users to analyze requirements, define specifications for engineering and labeling teams, oversee data collection preparation and execution at our main site in Bangalore, and ensure timely delivery. What You Will Do: - Lead data collection activities in Bangalore and other locations in India. - Coordinate vehicle/lab hardware/software data collection setup. - Define working packages for internal resources and external vendors. - Execute, supervise, and report data collection activities. - Lead the labeling team, prepare labeling specifications, optimize the labeling process, and supervise data pre-/post-processing. - Work with data consumers to analyze requirements and lead data collection concept development. - Perform QA, provide feedback on data quality, and ensure compliance with data privacy laws. What You Need to Be Successful: - Masters Degree or higher in computer science, electrical engineering, or a similar field. - 8+ years of experience managing engineering teams, preferably in the information technology industry. - Understanding of sensor and data management hardware, computer vision, and machine learning. - Experience with Atlassian Jira, Confluence, CI/CD concepts, and tools. - Ability to work with incomplete technical information, strong organizational and management skills, attention to detail, and quality. Bonus Points if You Have: - Experience in developing scripts (e.g., in Python) for data processing. - Experience with hardware assembly, maintenance, large-scale data collection, and CI tools. - Ability to improve data reliability, efficiency, and quality. What Makes You Eligible: - Willingness to travel up to 10% domestically and internationally. - Willingness to work in an office in Bangalore. - Clean driving record for the use of a HARMAN or customer-owned vehicle. What We Offer: - Flexible work environment with remote work opportunities. - Employee discounts on Harman and Samsung products. - Training through HARMAN University, wellness benefits, tuition reimbursement. - Access to fitness center, cafeteria, and an inclusive work environment that supports personal and professional development. You Belong Here: At HARMAN, every employee is welcomed, valued, and empowered to share ideas and perspectives. We encourage a support-minded culture that celebrates uniqueness and offers opportunities for training, development, and continuing education. About HARMAN: HARMAN is a leading innovator in automotive, lifestyle, and digital transformation solutions. With a legacy of amplifying sound since the 1920s, we create integrated technology platforms that make the world smarter, safer, and more connected. Our award-winning portfolio under iconic brands like JBL, Mark Levinson, and Revel sets high engineering and design standards to exceed customer expectations. If you are ready to innovate and make a lasting impact, join our talent community today! Please be aware of recruitment scams.,

You will be responsible for managing automation projects activities that are assigned as new or operational enhancement initiatives in R&D functional areas. Your role will involve contributing to designing, implementing, configuring & testing automation systems, applications & tools, instruments, and device interfacing architectures. Additionally, you will develop project proposals, detailed design specifications, operations & control philosophy, technical recommendation, user and training manuals. You will also contribute to validations & certifications during factory acceptance & site acceptance testing for automation systems and integration packages. It will be crucial to coordinate with basic & detailed engineering partners during project designing and execution stages. Troubleshooting user issues related to data acquisition, tag configuration, historian management, custom definitions, query management, and alert monitoring will be part of your responsibilities. Monitoring performance and conducting periodic audits to ensure uptime availability and improve the effectiveness of the implemented automation system will be essential. You will also need to review & update SOPs, SMPs, procedures, and guidelines documentation. Conducting user awareness & trainings to increase adoption and system usage is also a key aspect of the role. Ensuring periodic back-ups of process data, databases & system configurations will be part of your routine tasks. Monitoring & auditing compliance with site HSE procedures/practices and Information security requirements is also crucial. **Education Requirement:** - B.E. / B.Tech in Electronics, Computer Science, Instrumentation, Industrial Automation, Biotechnology from a reputed institute. **Experience Requirement:** - 6-8 years as a laboratory informatics, data engineer, database administrator, application developer, managing scientific tools, applications & analytical lab instrument data management. - 3-4 years of experience desirable as a research data scientist, data engineer managing systems and application development in a scientific or research organization. **Skills & Competencies:** - Aptitude towards information, communication, and network technology to design, build, and maintain automation systems, applications & interfaces. - In-depth knowledge of Laboratory informatics, SQL, and scientific databases. - Computer Science fundamentals and general-purpose programming languages. - Design, construct, install, test, and maintain highly scalable data management systems. Ensure systems meet business requirements and industry practices. - Build high-performance algorithms, prototypes, predictive models, and proof of concepts. - Research opportunities for data acquisition and new uses for existing data. - Develop data set processes for data modeling, mining, and production. - Integrate new data management technologies and software engineering tools into existing structures. - Create custom software components and analytics applications by employing a variety of languages & tools (e.g., scripting languages), interface systems. - Working knowledge of Data warehousing and the application of various ETL tools. - Applying machine learning algorithms and libraries. - Recommend ways to improve data reliability, efficiency, and quality. - Collaborate with data architects, data scientists, and analysts on project goals. - Possess strong analytical skills, be a self-starter, and have a passion for excellence. - Apply innovative ideas in problem-solving with reasoning skills. - Aptitude to understand diverse functional domains for relevant projects. - Team player with strong coordination and communication skills.,

The BA/SBA_MDM_Central Master_SSC Officer is a key role within the organization, responsible for managing and maintaining the master data set, including creation, updates, and deletion. This role provides quality assurance of imported data, working with quality assurance analysts if necessary. The Officer will also commission and decommission of data sets, manage and resolve data quality issues, and work to improve data reliability, efficiency, and quality.

You are a skilled 24*7 Operations Support Engineer who will be working in Data Movement & Data Reliability Platform Components including Self-Serve, Database Adaptor, Transactional Adaptor, Batch Materializers, Streaming Materializer, HiveSerDe, Stream2Hive, Thrive, S3Writer, Replay Capability, Data Quality Management (DQM), Data Reliability, etc. As a Lead Support Engineer, your role will be based in all PSL Locations. You should have 7 to 10 years of experience and will be employed full-time. Your responsibilities will include handling Level 1 escalation of all PD alerts, Customer Slack requests, Security Defects, and owning Infrastructure Maintenance activities of all Data Movement and Data Reliability AWS resources on schedule. You will manage the L1 Oncall Runbook lifecycle, update the runbook with latest instructions, and drive end-to-end Change Management processes. This involves creating CRs with proper release and rollback plans, maintaining documentation evidence as guided by Audit and ISO Standards, and decommissioning of UIP Pipelines/AWS Resources. You will also drive Program activities requiring stakeholder communications & collaboration, support platform users maintenance activities, perform Bi-Monthly Self Audits, and ensure ISO Standards compliance. Providing 24*7 support for all incidents and problems related to the supported applications, involvement in war room activities, maintaining Dashboards, and addressing anomalies will be part of your responsibilities. You will also provide release support during downtime windows, post-release validation and support on application and AWS, and follow escalation metrics for timely delivery. Your expertise should cover working on L0, L1, L2 support mode, readiness for 24*7 on-call support, support on UIP Pipeline creation & BPP pipeline creation, and support on Security/Compliance Bug fix resolution. The benefits include a competitive salary and benefits package, talent development focus with quarterly promotion cycles, company-sponsored higher education and certifications, work with cutting-edge technologies, employee engagement initiatives, annual health check-ups, and insurance coverage for self, spouse, two children, and parents. Persistent offers a values-driven and people-centric work environment that enables you to accelerate growth professionally and personally, impact the world positively using the latest technologies, enjoy collaborative innovation, diversity, and work-life wellbeing, and unlock global opportunities to work and learn with the industry's best. Join Persistent, where your full potential can be unleashed.,

Job Description Customer Excellence Advisory Lead (CEAL) aims to enable customers to fully leverage their data by offering top-tier architectural guidance and design. As part of the Oracle Analytics Service Excellence organization, our team includes Solution Architects who specialize in Oracle Analytics Cloud, Oracle Analytics Server, and Fusion Data Intelligence. Our main goal is to ensure the successful adoption of Oracle Analytics. We engage with customers and partners globally, building trust in Oracle Analytics. We also collaborate with Product Management to enhance product offerings and share our insights through blogs, webinars, and demonstrations. This role is crucial for any enterprise aiming to fully leverage Oracles Fusion Data Intelligence, ensuring that their business users not only adapt to but also thrive in a data-driven environment. Career Level - M2 Responsibilities Strategy Development: Develop and refine the strategy for deploying, integrating, and enhancing the adoption of Fusion Data Intelligence to support organizational goals. Team Leadership: Lead, develop, mentor, and retain a team of solution architects to implement FDI solutions effectively in timely fashion, pre and post sales. Project Management: Oversee multiple customer projects, ensuring they are implemented (post sales) and converted (pre-sales) on time, within scope and within the budget. Stakeholder Engagement: Collaborate with key internal and external stakeholders to align Fusion Data Intelligence capabilities and its vision with business needs. Training and Development: Ensure team members are well-trained on the latest features and best practices in Fusion Data Intelligence including AI and ML. Technical Guidance: Provide expert guidance on the technical aspects of Fusion Data Intelligence, including data augmentation, data reliability, and data security. Innovation: Encourage innovation and continuous improvement within the team, exploring new ways to leverage Fusion Data Intelligence for business advantage. Partner Management: Manage relationships with Oracle and other partners to ensure that the customer&aposs needs are being met and to stay updated on the latest developments. Compliance and Security: Ensure that all data management practices comply with legal and regulatory standards. About Us As a world leader in cloud solutions, Oracle uses tomorrows technology to tackle todays challenges. Weve partnered with industry-leaders in almost every sectorand continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. Thats why were committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. Were committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [HIDDEN TEXT] or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less