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Introdução

A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions. 

Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.

We are seeking a skilled Spark Developer developer to join our IBM Software team. As part of our team, you will be responsible for developing and maintaining high-quality software products, working with a variety of technologies and programming languages.


IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.



Sua Função e suas Responsabilidades

·      Design, develop, and optimize big data applications using Apache Spark and Scala.

·      Architect and implement scalable data pipelines for both batch and real-time processing.

·      Collaborate with data engineers, analysts, and architects to define data strategies.

·      Optimize Spark jobs for performance and cost-effectiveness on distributed clusters.

·      Build and maintain reusable code and libraries for future use.

·      Work with various data storage systems like HDFS, Hive, HBase, Cassandra, Kafka, and Parquet.

·      Implement data quality checks, logging, monitoring, and alerting for ETL jobs.

·      Mentor junior developers and lead code reviews to ensure best practices.

·      Ensure security, governance, and compliance standards are adhered to in all data processes.

·      Troubleshoot and resolve performance issues and bugs in big data solutions.

Formação requerida
Diploma do ensino médio/DEEM
Formação preferencial
Bacharelado
Experiência Profissional e Técnica Requerida
  • 12+ years of total software development experience.
  • 5+ years of hands-on experience with Apache Spark and Scala.
  • Proficiency in Scala with deep knowledge of functional programming.
  • Strong experience with distributed computing, parallel data processing, and cluster computing frameworks and problem-solving skills and the ability to work independently or as part of a team.
  • Experience with cloud platforms such as AWS, Azure, or GCP (especially EMR, Databricks, or HDInsight).


  • Solid understanding of Spark tuning, partitions, joins, broadcast variables, and performance optimization techniques.
  • Hands-on experience with Kafka, Hive, HBase, NoSQL databases, and data lake architectures.
  • Familiarity with CI/CD pipelines, Git, Jenkins, and automated testing.
Experiência Profissional e Técnica Preferencial


  • Experience with Databricks, Delta Lake, or Apache Iceberg.
  • Exposure to machine learning pipelines using Spark MLlib or integration with ML frameworks.
  • Contributions to open-source big data projects are a plus.
  • Excellent communication and leadership skills.
  • Understanding of data lake and lakehouse architectures.
  • Knowledge of Python, Java, or other backend languages is a plus.

Sobre a Unidade de Negócios

Do aprendizado de máquina à IA generativa, o software IBM injeta inteligência nas principais operações de negócios para tornar as empresas mais responsivas, produtivas e resilientes. O software IBM ajuda os clientes a colocar a IA em ação para agregar valor real, de forma rápida e segura, à mão de obra digital, automação de TI, modernização de aplicação, segurança e sustentabilidade. Para isso, a capacidade de usar todos os dados é fundamental, porque a IA somente será boa se os dados que a alimentam também forem. Na maioria das empresas há dados locais, dados espalhados por diversas nuvens, dados em data centers privados e na borda. A plataforma de dados e IA da IBM escala e acelera o impacto da IA com dados confiáveis, além de fornecer recursos de ponta para treinar, ajustar e implementar a IA nos negócios. A plataforma de nuvem híbrida da IBM é uma das abordagens mais abrangentes e consistentes ao desenvolvimento, segurança e operações em ambientes híbridos, atuando como uma base flexível que utiliza os dados, onde quer que estejam, para estender amplamente a IA sobre os negócios.

SEU LIFE @ IBM

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?

Sobre a 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.

IBM 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.

Outros detalhes relevantes do cargo

IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:

  • Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
  • Financial programs such as 401(k), the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs
  • Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
  • Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
  • Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences


We consider qualified applicants with criminal histories, consistent with applicable law.


This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.