Jobs at Ibm in India, Kochi

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform

• Responsibilities:
• Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS
• Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform
• Experience in developing streaming pipelines
• Experience to work with Hadoop / AWS eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc

• Total 3-5+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills
• Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala ;
• Minimum 3 years of experience on Cloud Data Platforms on AWS;
• Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB
• Good to excellent SQL skills

• Certification in AWS and Data Bricks or Cloudera Spark Certified developers

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform

• Responsibilities:
• Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS
• Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform
• Experience in developing streaming pipelines
• Experience to work with Hadoop / AWS eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc

• Total 3-5+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills
• Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala ;
• Minimum 3 years of experience on Cloud Data Platforms on AWS;
• Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB
• Good to excellent SQL skills

• Certification in AWS and Data Bricks or Cloudera Spark Certified developers

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys.Your primary responsibilities include:

• Envision, design, and build the Software infrastructure that keeps the solutions running.
• Challenge ideas, identify problems and create efficient solutions.
• Develop flexible, maintainable, and scalable application components.
• Collaborate with development peers and lead the way staying up to date with tools and technology trends

• Min 4 yrs of exp.
• We are seeking a skilled Telecom Operations Specialist / Support Engineer to join our team.
• The ideal candidate will have a strong background in Linux Shell Scripting, SQL Database Querying, and hands-on experience with OSS/BSS systems in the telecommunications sector.
• Familiarity with Cramer tools, defect triage, and incident management processes are key to ensuring optimal performance and efficient resolution of network and service-related issues.
• Exposure to COTS products used in telecom operations is highly desirable

• Manage and monitor system resources, databases
• Develop and maintain shell scripts for automating repetitive tasks.
• Streamlining system operations in a Linux environment

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

• As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution.
• Your primary responsibilities include:
• Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements.
• Strive for continuous improvements by testing the build solution and working under an agile framework.
• Discover and implement the latest technologies trends to maximize and build creative solutions

• Design and Develop Data Solutions, Design and implement efficient data processing pipelines using AWS services like AWS Glue, AWS Lambda, Amazon S3, and Amazon Redshift.
• Develop and manage ETL (Extract, Transform, Load) workflows to clean, transform, and load data into structured and unstructured storage systems.
• Build scalable data models and storage solutions in Amazon Redshift, DynamoDB, and other AWS services.
• Data Integration: Integrate data from multiple sources including relational databases, third-party APIs, and internal systems to create a unified data ecosystem.
• Work with data engineers to optimize data workflows and ensure data consistency, reliability, and performance. Automation and Optimization: Automate data pipeline processes to ensure efficiency

• Define, drive, and implement an architecture strategy and standards for end-to-end monitoring.
• Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering,
• Good to have detection and prevention tools for Company products and Platform and customer-facing

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

• Managing and developing C++ Applications.
• Bringing your expertise to solve the application criticality.
• C++ coding experience for product application.
• Experience on design, code development, unit test and maintain code quality as defined by project

• 3-7 Years of C++ programming language experience.
• Good Knowledge required on QT.
• Should be able to design, code independently

• Creative problem solving skills and excellent Communication Skill

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

• Candidates must be a CyberArk Certified Delivery Engineer (CCDE) or equivalent. The successful applicant will be an experienced CyberArk PAM consultant to take our client's project forward and support the account.
• Taking on and further developing/deploying of our client's Privileged Access Management solution based on CyberArk technology. Lead Consultant with demonstrable experience of CyberArk Privileged Access Management solution experience. HLD and LLD experience.
• Ability to work with the internal Project team and end customer to continue design and deployment activities and further enhance the PAM solution. Documentation skills. Security Policy and Governance experience and appreciation. Identity & Access Management/IDAM experience and knowledge. Design and deliver high quality security architecture and infrastructure setups and/or sub-systems to agreed deadlines. Assist customers in developing a secured privileged access management infrastructure and also to define policies to protect their applications/platforms/targets from unauthorized access

• 2+ years of industry experience with minimum 2+ years relevant experience in CyberArk privileged access solution. Experience in development and implementation, design and architecture of privileged access solution using CyberArk
• Must possess the technical/functional skills necessary to understand and manage consulting project engagements. Experience in end-to-end implementation lifecycle of CyberArk project
• Excellent hands-on knowledge on the best practices of deploying CyberArk PAS, including various components like EPV, CPM, PVWA, PSM, PSMP, OPM and PTA. Well versed with Active Directory. Experience in developing custom connectors using automation approaches like AutoIT script

• Experience with Okta ASA, Ping, Saviynt, ForgeRock. Experience with JavaScript and one of the major JavaScript MVC frameworks (preferably Angular). Directory experience (AD, Azure AD, LDAP), SaaS deployment experience. Knowledge of enterprise web technologies, security and cutting-edge infrastructures
• Knowledge of Cloud architectures and complex enterprise On-Premises IT landscapes and hybrid Cloud/On-Prem architectures. Knowledge of enterprise identity lifecycle management processes and standards
• Proven track record in working as part of a team, meeting deadlines, tutoring/mentoring. Experience with at least one of the following development environments/languages: J2EE, Java, JavaScript. Experience in specific industry verticals is preferred

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

As a senior SAP Consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic SAP Solution Focus: Working across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution Delivery: Involvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies.

• Total 5 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills
• Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala.
• Minimum 3 years of experience on Cloud Data Platforms on AWS; Exposure to streaming solutions and message brokers like Kafka technologies.
• Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB
• Good to excellent SQL skills

• Certification in AWS and Data Bricks or Cloudera Spark Certified developers