Data Engineer: Data Analytics and AI Full-time

Your Role and Responsibilities
Develops applications on Big Data and Cognitive technologies including API development. Expected to have traditional Application Development background along with knowledge of Analytics libraries, open-source Natural Language Processing, statistical and big data computing libraries. Strong technical abilities to understand, design, write and debug complex code. Skills include Python, Spark, Kafka, GO, Hadoop, NoSQL, HBase, HIVE, PIG, C++, SQL, Linux, Java, EAI, SOA, CEP, HDFS, ETL

Introduction
At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.

Required Technical and Professional Expertise

• Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Minimum of 3 years of experience in data engineering, with a focus on implementing data platforms, AI, and ML solutions.
• Hands-on experience with at least one major cloud provider: Azure, AWS, or GCP.
• Proficiency in programming languages such as Python, Py-Spark, PL/SQL, Spark SQL, GO, Java
• Experience with data processing frameworks like Apache Spark, Hadoop, or similar.
• Strong knowledge of SQL and experience with relational and non-relational databases.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes) and CI/CD pipelines.
• Solid understanding of data warehousing concepts and tools (e.g., DataBricks, Redshift, BigQuery).
• Knowledge of AI/ML concepts and experience in supporting AI/ML teams.
• Strong problem-solving skills, with the ability to troubleshoot complex data issues.
• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Preferred Technical and Professional Experience

• Design, implement, and manage data platforms on cloud environments (Azure, AWS, or GCP) to support AI and ML workloads.
• Develop, test, and maintain robust data pipelines that ensure the smooth ingestion, processing, and storage of large datasets from diverse sources.
• Integrate data solutions with cloud-native services, ensuring optimal performance, scalability, and cost-effectiveness.
• Work closely with data scientists, data engineer, business analyst and AI/ML engineers to deploy models and algorithms into production, optimizing them for performance and scalability.
• Design and develop Extract, Transform, Load (ETL) processes to clean, enrich, and prepare data for analysis and machine learning tasks.
• Implement and manage data governance practices, ensuring data quality, security, and compliance with industry standards and regulations.
• Monitor and optimize the performance of data platforms and pipelines, identifying and resolving bottlenecks and inefficiencies.
• Create detailed documentation for data platforms and pipelines, and provide regular status updates to stakeholders.
• Stay updated with the latest trends and technologies in data engineering, AI, and cloud computing, and advocate for best practices within the team.

Required Education
Bachelor’s Degree

Preferred Education
Bachelor’s Degree

About Business Unit
IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

Wonder if IBM is the one for you?
In 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 IBM
IBM’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.

Other Relevant Job Details
For additional information about location requirements, please discuss with the recruiter following submission of your application.

Being You @ IBM
IBM 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.