דרושים מהנדס איכות ב-Ibm ב-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 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.

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

In this position you will be working with a web development team (both frontend and backend) to build innovative products from scratch.What you'll do:

You will collaborate with teams like Design, Content, and product management to plan, build, and test innovative AI-infused products through various projects. You'll write well-tested code for APIs and tools for Python, Jenkins, or Travis, driving the product forward with quality in mind. This is a perfect fit for you if you are looking to have large impact and innovate with the latest technologies like LLMs and Generative AI! How we'll help you grow:

• You will have access to all the technical training courses you need to become the expert you want to be
• You will learn directly from senior members/leaders in this field
• You will have the opportunity to work directly with multiple clients.

• 10+ year experience in software development using functional and/or object-oriented programming languages such as Javascript or Python. Candidates in the following:
• Deep knowledge working with back-end development with in Javascript or Python, REST API and Datatbase technologies (DB2) and/or SQL databases.
• Experience working in cloud native application, working on docker, Kubernetes, OpenShift, Sound knowledge of databases, handling APIs, network requests, and general data manipulation.
• Understanding of large-scale application development and cloud architecture, with work experience.
• Experience working in cloud deployment, with building CI/CD pipelines such as Jenkins, Travis, etc..
• Solid knowledge on Agile methodology and practices, such as SCRUM, Test Driven Development (TDD), etc. Experience with modern frontend JavaScript frameworks, such as React or equivalent.
• Experience building restful APIs and Web services in NodeJS, and similar technologies.
• Experience building and scaling web applications

• You can mentor and guide junior developers Experience in infrastructure as code languages such as Terraform and Ansible
• Experience with Continuous Integration / Continuous Delivery (CI/CD) methodologies
• Experience using container management technologies such as Kubernetes and Docker
• Experience with any Public Cloud Services

See more at :

- 8+ years of experience with Programming languages such as Java, Go, JavaScript

- Development and testing software using automation frameworks

- UNIX platforms with scripting using Bash

- Strong technical understanding shown by leadership of software components

- Web frameworks of Node and React

- Container technologies such as Kubernetes and OpenShift

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