9 Kappa Jobs

Role & responsibilities About bp bp Technical Solutions India (TSI) center in Pune, strives to build on bps existing engineering and technical strengths to deliver high quality services to its hydrocarbons and new energy businesses worldwide. TSI brings together diverse engineering capability to provide technical services across a range of areas including engineering, maintenance, optimization, data processes, projects and subsurface, to deliver safe, affordable and lower emission energy, while continuously innovating how we work. At bp, we’re reimagining energy for people and our planet. We’re leading the way in reducing carbon emissions and developing more balanced methods for solving the energy challenge. We’re a team with multi-layered strengths of engineers, scientists, traders and business professionals determined to find answers to problems. About the Role Global Subsurface Solutions (GSS) delivers high-quality, high impact, subsurface technical products to address prioritized business challenges across bp’s oil, gas, and low carbon businesses. As a Reservoir engineer you will be responsible for utilizing broad reservoir engineering experience to inform reserves estimation, resources progression and the appropriate reservoir management activities and/or Carbon storage plans are implemented. You will have the opportunity to work across BP global portfolio on projects as diverse as early field development offshore West Africa, large-scale waterflood developments in the Caspian Sea and Middle East and global screening and development of Carbon Capture and Storage (CCS) fields. You will be responsible for supporting region decisions on reserves estimation, reservoir management, and production forecasting. Responsibilities Work closely with the regions across the globe, utilising broad classical reservoir engineering methods to properly analyse and integrate wells and reservoir data into the team’s current understanding. Conduct classical reservoir engineering analyses, integrating rate and pressure transient analysis, material balance, decline curve and volumetric analyses into reservoir evaluation and reserves estimation Provide sound Reservoir Engineering technical analysis, judgement, and guidance to support identification, evaluation, and progression of value-generating resources Provide technical support and guidance in delivery of projects and progression of resources Apply reservoir engineering concepts to understand and optimize the production and recovery, Including Rock and fluid properties, relative permeability, and depletion mechanisms Promote hydrocarbon resources progression by assessing surveillance and analogue data, development activities and materiality, and working across multi-disciplines to provide input and justification for reserves/resources estimation and reporting, following company’s guidelines Must have educational qualifications: Bsc / Msc degree in Petroleum/ Reservoir Engineering or related applied science engineering. Preferred candidate profile Must have experiences/skills: Have a strong understanding of reservoir analysis fundamentals such as pressure transient analysis, decline curve analysis and material balance. Good industry track record as Reservoir Engineer. Relevant classical reservoir engineering experience in Reservoir Management, Reservoir Performance, and Analytical Reservoir Engineering workflows. Experience with classical RE toolkits (e.g. PETEX IPM, Kappa (Saphir)) Skillful communication and influencing skills, with track record of sharing learnings Able to manage multiple activities and quickly respond to changing business priorities Able to cope with short-term deadlines and flexible prioritization acting as a squad member as required Minimum years of relevant experience: 4 to 12 years’ experience as Reservoir Engineer, with experience in classical reservoir engineering and reserves estimation Good to have experiences/skills: Basic knowledge of CCUS subsurface workflow Numerical Reservoir simulation. Waterflood management and/or gas reservoir management experience You will work with Your line manager will be the TSI Reservoir Engineering Discipline Leader. You will work in Pune, India, but may be remotely deployed into an international, integrated subsurface delivery ‘squad’ where day-to-day activities/deliverables will be prioritised by the squad leader. These GSS squads typically consist of 5-10 multi-disciplinary technical members in several locations and are deployed based on global subsurface business prioritisation. You will also work in close collaboration with subsurface teams in the country your squad supports, as well as with bp’s global subsurface technical specialists and subject matter experts. Why join bp At bp, we support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to fostering an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, and excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Dear Candidate, We are looking for a Big Data Developer to build and maintain scalable data processing systems. The ideal candidate will have experience handling large datasets and working with distributed computing frameworks. Key Responsibilities: Design and develop data pipelines using Hadoop, Spark, or Flink. Optimize big data applications for performance and reliability. Integrate various structured and unstructured data sources. Work with data scientists and analysts to prepare datasets. Ensure data quality, security, and lineage across platforms. Required Skills & Qualifications: Experience with Hadoop ecosystem (HDFS, Hive, Pig) and Apache Spark. Proficiency in Java, Scala, or Python. Familiarity with data ingestion tools (Kafka, Sqoop, NiFi). Strong understanding of distributed computing principles. Knowledge of cloud-based big data services (e.g., EMR, Dataproc, HDInsight). Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Knowledge of KOMAX and Kappa machines, knowledge of wiring harness industry

Knowledge of KOMAX and Kappa machines, knowledge of wiring harness industry

Support well performance optimization, production surveillance, and artificial lift design. Provide consulting, tool development, workflow support, and field troubleshooting for BU assets and global projects. Required Candidate profile Mid-level production engineers with 5–8 years of experience in artificial lift systems, well surveillance, optimization, and troubleshooting. Proficient with OFM, Kappa, and field consulting.

Job Summary We are looking for a highly skilled Cloud Engineer with a strong background in real-time and batch data ingestion and data processing, azure products-devOps, azure cloud. The ideal candidate should have a deep understanding of streaming architectures and performance optimization techniques in cloud environments, preferably in subsurface domain. Key Responsibilities: Automation experience essential : Scripting, using PowerShell. ARM Templates, using JSON (PowerShell also acceptable) Azure DevOps with CI/CD, Site Reliability Engineering Must be able to understand the concept of how the applications function. The ability to priorities workload and operate across several initiatives simultaneously Update and maintain the Kappa-Automate database and connectivity with the pi historian and data lake Participate in troubleshooting, performance tuning, and continuous improvement of the Kappa Automate platform Designing and implementing highly configurable Deployment pipelines in Azure Configuring Delta Lake on Azure Databricks Apply performance tuning techniques such as partitioning, caching, and cluster Working on various Azure storage types Work with large volumes of structured and unstructured data, ensuring high availability and performance. Collaborate with cross-functional teams (data scientists, analysts, business users) Qualifications • Bachelors or Masters degree in Computer Science, Information Technology, or a related field. • 8+ years of experience in data engineering or a related role. • Proven experience with Azure technologies.

Job Summary We are looking for a highly skilled Cloud Engineer with a strong background in real-time and batch data ingestion and data processing, azure products-devops, azure cloud. The ideal candidate should have a deep understanding of streaming architectures and performance optimization techniques in cloud environments, preferably in subsurface domain. Key Responsibilities Automation experience essential : Scripting, using PowerShell. ARM Templates, using JSON (PowerShell also acceptable) Azure DevOps with CI/CD, Site Reliability Engineering Must be able to understand the concept of how the applications function. The ability to priorities workload and operate across several initiatives simultaneously Update and maintain the Kappa-Automate database and connectivity with the pi historian and data lake Participate in troubleshooting, performance tuning, and continuous improvement of the Kappa Automate platform Designing and implementing highly configurable Deployment pipelines in Azure Configuring Delta Lake on Azure Databricks Apply performance tuning techniques such as partitioning, caching, and cluster Working on various Azure storage types Work with large volumes of structured and unstructured data, ensuring high availability and performance. Collaborate with cross-functional teams (data scientists, analysts, business users) Qualifications • Bachelors or Masters degree in Computer Science, Information Technology, or a related field. • 8+ years of experience in data engineering or a related role. • Proven experience with Azure technologies.

Support production management via SA&O tools, artificial lift systems, well performance optimization, and consulting across BU teams. Lead workflows, troubleshoot issues, and drive solution deployment. Required Candidate profile Mechanical or Petroleum Engineers with experience in SA&O tools (OFM, Kappa), artificial lift systems (ESP, gas lift, rod pump), well integrity, and optimization techniques.

Dear Candidate, We are hiring a Scala Developer to work on high-performance distributed systems, leveraging the power of functional and object-oriented paradigms. This role is perfect for engineers passionate about clean code, concurrency, and big data pipelines. Key Responsibilities: Build scalable backend services using Scala and the Play or Akka frameworks . Write concurrent and reactive code for high-throughput applications . Integrate with Kafka, Spark, or Hadoop for data processing. Ensure code quality through unit tests and property-based testing . Work with microservices, APIs, and cloud-native deployments. Required Skills & Qualifications: Proficient in Scala , with a strong grasp of functional programming Experience with Akka, Play, or Cats Familiarity with Big Data tools and RESTful API development Bonus: Experience with ZIO, Monix, or Slick Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies