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Remote job: Globant is hiring Data Engineer Expert - Buenos Aires, Anywhere, AR

Globant

Data Engineer Expert - Buenos Aires, Anywhere, AR

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Published: a year ago

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Data Engineer Expert - Buenos Aires, Anywhere, AR

We are a digitally native technology services company where innovation, design, and engineering meet scale. We use some of the latest technologies in the digital and cognitive field to empower organizations in every aspect.

 

Right now, we are looking for a Data Engineering Expert to be part of our Data & AI Studio with more than 500 professionals worldwide. 

 

Activities:
-Assembling large, complex sets of data pipelines that meet non-functional and functional business requirements
-Redesign infrastructure for greater scalability, optimize data delivery, and automate manual processes, among other internal process improvements.
-Implementing cloud services and SQL technologies for optimal extraction, transformation, and loading of data from various sources
-Analyzing data pipelines to provide actionable insight into operational efficiency, customer acquisition, and other key performance metrics
-Providing technical assistance to stakeholders, including the data, design, product, and executive teams

-Supporting the Executive, Product, Data, and Design teams with their data infrastructure needs and assisting with data-related technical issues 

 

Tech Stack & Tools:

Mandatory:
-Programming language (Python, Java or Scala)
-Cloud-based data Storage (S3, Cloud Storage or Blob Storage),
-Cloud-Based Analytics DW (BigQuery, Synapse, Redshift or Snowflake)
-Cloud transformation tool (Spark, Glue, Beam, Dataflow or ADF)
-Workflow orchestration tool (Airflow, Astronomer, Composer, Airbyte, Dagster or Step Functions)
-RDBMS Engines (Oracle, Microsoft SQL Server, IBM DB2, Teradata or Postgresql)
-Distributed Files Systems (Hadoop, EMR, Databricks or Dataproc)

 

Desired:
-Data Visualization tools (Data Studio, Power BI, Tableau or QuickSight)
-NoSQL Engines (Cassandra, MongoDB, GraphQL or Redis)
-Streaming system (Kafka, Storm, Flink or Flume)
-Data Quality Frameworks (Great Expectations, Soda, Pytest, Deequ)
-Infrastructure as Code Tools (Terraform, CDK, Azure Management Tools, Morpheus)
-Cloud certifications (Google Professional Data Engineer, AWS Certified Data Analytics, Microsoft Certified: Azure Data Engineer Associate)

 

Are you ready?

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