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Introduction

IBM Systems Expert Labs is a Professional Services Team under IBM Technology Expert Labs.

IBM Technology Expert Labs has the proven expertise to help leaders plan, design and implement the essential IT infrastructure for what comes next. We offer a wide range of IT infrastructure services for IBM Power Systems™, IBM Z® and IBM LinuxONE™ systems, and IBM Storage & Software Defined Infrastructure. Technology Expert Labs - Systems' consultants perform IT infrastructure services for clients on site, helping them solve business challenges, gain new skills and discover best practices. Expert Lab has a global presence and can deploy its consultants around the world.

• As a Storage Consultant, the role involves providing specialised storage services around the world. The Expert Labs specialist is a highly skilled expert with a deep knowledge of IBM's Storage Software portfolio and hardware products

• The Expert Labs consultant assume overall technical responsibility for the success of solution construction, implementation and system integration in a technology, industry or business specialty

• You deliver new and complex high-quality solutions to clients in response to varying business requirements

• You have deep skill and strong hands-on skills in ONE or MORE of the following subject matter areas: Enterprise Storage, IBM DS8000, IBM Flash System Products, SAN Networking and Tape products, Spectrum Protect, Spectrum Scale

• Exposure to Containers and Kubernetes technology

• Should be ready to travel (once or twice a month)

Your Role and Responsibilities

As an IBM data engineer, you will be responsible for designing, constructing, installing, testing, and maintaining highly scalable data management systems. You will work closely with data architects, data scientists, and business analysts to understand data requirements, design data models, and implement solutions that optimize data ingestion, storage, and processing.

Key Responsibilities:

1. Data Pipeline Development: Develop and maintain data pipelines to ingest, transform, and load structured and unstructured data from various sources into data storage systems such as data lakes, data warehouses, and databases.

2. Data Modeling: Design and implement efficient data models to support analytical and operational needs, ensuring data integrity, accuracy, and consistency across different data sets.

3. Data Integration: Integrate data from multiple sources, including internal databases, external APIs, third-party data providers, and streaming data sources, using appropriate tools and technologies.

4. Data Processing: Implement data processing workflows using tools like Apache Spark, Hadoop, or IBM Cloud Pak for Data to perform ETL (Extract, Transform, Load) operations, data cleansing, and data enrichment.

5. Database Management: Manage and optimize databases, including relational databases (e.g., IBM Db2, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra), to ensure high performance, availability, and scalability.

6. Data Quality Assurance: Develop and implement data quality checks, validation rules, and monitoring processes to ensure data accuracy, completeness, and consistency over time.

7. Performance Tuning: Optimize data pipelines, queries, and processes for performance, scalability, and efficiency, leveraging techniques such as indexing, partitioning, and caching.

8. Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, software engineers, and stakeholders, to understand data requirements, prioritize tasks, and deliver data-driven solutions.

9. Documentation: Create and maintain documentation for data pipelines, data models, data dictionaries, and technical specifications to ensure transparency, repeatability, and knowledge sharing within the team.

Required Technical and Professional Expertise

1. Bachelor's or Master's degree in computer science, information technology, data engineering, or a related field.

2. Proficiency in programming languages such as Python, Java, Scala, or SQL for data manipulation, scripting, and automation.

3. Experience with data pipeline orchestration tools like Apache Airflow, IBM DataStage, or Informatica.

4. Strong knowledge of database management systems (DBMS), data warehousing concepts, and data modeling techniques.

5. Familiarity with big data technologies such as Apache Hadoop, Apache Spark, Kafka, and distributed computing frameworks.

6. Experience with cloud platforms like IBM Cloud, AWS, Azure, or Google Cloud Platform for data storage, processing, and analytics.

7. Excellent problem-solving skills, analytical thinking, and attention to detail in designing and troubleshooting data solutions.

8. Effective communication skills to collaborate with diverse teams, present technical findings, and explain complex concepts to non-technical stakeholders.

9. Ability to work independently, prioritize tasks, and adapt to changing project requirements in a dynamic environment.

Preferred Technical and Professional Expertise

1. Certification in data engineering or related technologies (e.g., IBM Certified Data Engineer, AWS Certified Data Analytics - Specialty).

2. Experience with data visualization tools like Tableau, Power BI, or IBM Cognos for creating interactive dashboards and reports.

3. Knowledge of machine learning concepts, data science workflows, and statistical analysis techniques.

4. Familiarity with agile development methodologies, DevOps practices, and version control systems (e.g., Git).

5. Experience with containerization technologies such as Docker and orchestration tools like Kubernetes for deploying and managing data applications.

About Business UnitIBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company's Global Markets organization is a strategic sales business unit that manages IBM's global footprint, working closely with dedicated country-based operating units to serve clients locally. These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients' growth and innovation. By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities. Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply. IBM is also expanding its reach to new and existing clients through digital marketplaces.

Your Life @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.

Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.