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Full Data Engineer
Job description
Responsibility Build and optimize data pipeline; Develop integration components, online and batch with datalake, transactional systems and/or external systems and other consumers (e.g. FICO); Interaction with technical teams DataOps, MLOps, Cloud, Architecture, product systems; Fluid communication with multidisciplinary team (business, infrastructure, operations, architecture and governance Knowledge Technical Knowledge of distributed computing (Spark/Hadoop/Databricks); Knowledge of data processing languages such as SQL, Python, R or Scala; Experience in working with big data technologies such as Hadoop, Spark, Hive, Pig, Presto, Cassandra, MongoDB, PostgreSQL, Oracle, MySQL, MariaDB, Amazon Redshift, Google BigQuery, Snowflake, Azure Synapse Analytics, Databricks, AWS Lake Formation, GCP Bigtable, Azure Cosmos DB; Experience in working with data visualization tools such as Tableau, Power BI, QlikView, D3.js, Matplotlib, Seaborn, Plotly, Bokeh; Knowledge of cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), IBM Cloud, Oracle Cloud, Alibaba Cloud, Rackspace, OpenStack; Experience in working with containerization technologies such as Docker, Kubernetes, Red Hat OpenShift; Knowledge of DevOps tools such as Jenkins, GitLab CI/CD, Travis CI, CircleCI, GitHub Actions; Experience in working with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, LightGBM, CatBoost; Knowledge of data governance and compliance regulations such as GDPR, HIPAA, PCI-DSS, CCPA; Ability to work in a fast-paced environment with multiple priorities and deadlines; Strong analytical and problem-solving skills; Excellent communication and collaboration skills; Bachelor's degree in Computer Science, Information Technology or related field; Master's degree preferred.
Required skills
mysql
docker
databricks
snowflake
sql
power bi
python
kubernetes
pytorch
oracle
jenkins
github actions
gdpr
hadoop
hive
presto
spark
cassandra
postgresql
microsoft azure
mongodb
amazon web services (aws)
tableau
tensorflow
ccpa
mariadb
d3.js
circleci
scala
oracle cloud
pci-dss
r
hipaa
qlikview
bokeh
scikit-learn
rackspace
matplotlib
seaborn
gitlab ci/cd
azure synapse analytics
pig
keras
openstack
azure cosmos db
google cloud platform (gcp)
red hat openshift
plotly
lightgbm
google bigquery
travis ci
alibaba cloud
amazon redshift
ibm cloud
aws lake formation
catboost
gcp bigtable
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Company information
- Company
- FOURSYS
- Location
-
Brasil, Sudeste, Estado de São Paulo, São Paulo
Brazil - Posted
- 7 months ago
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