Data Engineer-Big Data

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.

Your Role and Responsibilities
Traduzir necessidades de negócio e seus requisitos, definindo especificações técnicas para criação e estruturação de fluxos de dados; Experiências em estratégias de dados e suas integrações, como DW, Data Lake, Lakehouse, entre outras; Conhecer conceitos e aplicabilidades dos Barramentos de Eventos, APIs e Microserviços; Conhecer conceitos de armazenamentos quente e frio, SQL, NoSQL, CDC e bancos MPP; Conhecer conceitos de escalabilidade horizontal e clusterizações; Experiência com modelagem de dados e Data Warehouses; Conhecer conceitos e processos para gestão de metadados e catálogos de dados; Conhecer conceitos e ter experiência em práticas de integrações e ingestões; Conhecer conceitos e ter experiência em processos de qualidade e sanitizações; Conhecer conceitos e ter experiência em processos de QA para testes e garantia de qualidade informacional;
Programação
Python, Java, Scala, HQL, SQL

• Diferenciais

PySpark
Integrações
Microserviços, APIs

• Diferenciais

gRPC, REST
IBM Cloud
IBM Cloud Monitoring
CP4DATA
DB2Warehouse
Conceitos Alta Plataforma Main Frame
Cloud

• Storage

S3, Cloud Object Storage;

• Banco de Dados (SQL)

Teradata, Postgrees;

• Banco de Dados (NoSQL)

MongoDB, Cassandra

• Eventos

Event Streams, Kinesis, Cloud Streamings

• Orquestradores

K8S, AirFlow, Openshift
Big Data

• Hadoop

Hive, Hbase, Impala, Kafka, GreePlun

• Spark

Spark Engine, SparkStreaming, SparkSql
Visualization

• Analytics e BI

PowerBI

• Diferencial

Cognos
Governança de Dados
IBM Knowledge Catalog

Todas as nossas vagas são elegíveis para pessoas com deficiência ou reabilitadas.

Required Technical and Professional Expertise
Traduzir necessidades de negócio e seus requisitos, definindo especificações técnicas para criação e estruturação de fluxos de dados; Experiências em estratégias de dados e suas integrações, como DW, Data Lake, Lakehouse, entre outras; Conhecer conceitos e aplicabilidades dos Barramentos de Eventos, APIs e Microserviços; Conhecer conceitos de armazenamentos quente e frio, SQL, NoSQL, CDC e bancos MPP; Conhecer conceitos de escalabilidade horizontal e clusterizações; Experiência com modelagem de dados e Data Warehouses; Conhecer conceitos e processos para gestão de metadados e catálogos de dados; Conhecer conceitos e ter experiência em práticas de integrações e ingestões; Conhecer conceitos e ter experiência em processos de qualidade e sanitizações; Conhecer conceitos e ter experiência em processos de QA para testes e garantia de qualidade informacional;
Programação
Python, Java, Scala, HQL, SQL

• Diferenciais

PySpark
Integrações
Microserviços, APIs

• Diferenciais

gRPC, REST
IBM Cloud
IBM Cloud Monitoring
CP4DATA
DB2Warehouse
Conceitos Alta Plataforma Main Frame
Cloud

• Storage

S3, Cloud Object Storage;

• Banco de Dados (SQL)

Teradata, Postgrees;

• Banco de Dados (NoSQL)

MongoDB, Cassandra

• Eventos

Event Streams, Kinesis, Cloud Streamings

• Orquestradores

K8S, AirFlow, Openshift
Big Data

• Hadoop

Hive, Hbase, Impala, Kafka, GreePlun

• Spark

Spark Engine, SparkStreaming, SparkSql
Visualization

• Analytics e BI

PowerBI

• Diferencial

Cognos
Governança de Dados
IBM Knowledge Catalog

Todas as nossas vagas são elegíveis para pessoas com deficiência ou reabilitadas.

Preferred Technical and Professional Expertise
n/a

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.

Are you craving to learn more? Prepared to solve some of the world's most unique challenges? And ready to shape the future for millions of people? If so, then it's time to join us, express your individuality, unleash your curiosity and discover new possibilities.

Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change – to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.

It's time to define your career.

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.

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

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, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.