Senior Data Engineers (Anywhere)
Caba, Argentina, AR
Globant
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 Data Engineers to join our team at Globant!
You will get the chance to:
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Work with professionals who have created some of the most revolutionary solutions in their fields.
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Make an impact. Work in large-scale projects globally.
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Develop your career in our Data & AI Studio. (https://www.globant.com/studio/data-and-ai) Each Studio represents deep pockets of expertise on the latest technologies and trends and delivers tailored solutions focused on specific challenges.
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Develop your career within an industry or multiple industries.
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Work in the city you want, and be nourished by cultural exchanges.
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Be empowered to choose your career path: we have more than 600 simultaneous projects, so you can choose where and how to work.
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Be part of an agile pod. Driven by a culture of self-regulated teamwork, each team -or POD- works directly with our customers with a full maturity path that evolves as they increase speed, quality, and autonomy.
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Participate in the following activities:
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Assembling large, complex sets of data pipelines that meet non-functional and functional business requirements
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Redesign infrastructure for greater scalability, optimize data delivery and automate manual processes, among other internal process improvements.
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Implementing cloud services and SQL technologies for optimal extraction, transformation, and loading of data from various sources
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Analyzing data pipelines to provide actionable insight into operational efficiency, customer acquisition, and other key performance metrics
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Providing technical assistance to stakeholders, including the data, design, product, and executive teams
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Supporting the Executive, Product, Data, and Design teams with their data infrastructure needs and assisting with data-related technical issues
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What would help you succeed:
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Believe and love what you do.
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Enjoy solving problems.
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Have imagination and love innovating.
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Being flexible & goal oriented.
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Advanced English skills.
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Mandatory experience in the following:
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Programming language (Python, Java or Scala)
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Cloud-based data Storage (S3, Cloud Storage or Blob Storage)
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Cloud-Based Analytics DW (BigQuery, Synapse, Redshift or Snowflake)
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Cloud transformation tool (Spark, Glue, Beam, Dataflow or ADF)
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Workflow orchestration tool (Airflow, Astronomer, Composer, Airbyte, Control-M, Dagster or Step Functions)
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RDBMS Engines (Oracle, Microsoft SQL Server, IBM DB2, Teradata or Postgresql)
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Distributed Files Systems (Hadoop, EMR, Databricks or Dataproc)
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Desired experience in these:
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Data Visualization tools (Data Studio, Power BI, Tableau, Looker or QuickSight)
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NoSQL Engines (Cassandra, MongoDB, GraphQL or Redis)
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Streaming system (Kafka, Storm, Flink or Flume)
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Data Quality Frameworks (Great Expectations, Soda, Pytest, Deequ)
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Infrastructure as Code Tools (Terraform, CDK, Azure Management Tools, Morpheus)
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CICD Tools (Github actions, Azure DevOps, Jenkins)
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Cloud certifications (Google Professional Data Engineer, AWS Certified Data Analytics, Microsoft Certified: Azure Data Engineer Associate)
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At Globant we believe that an inclusive culture and a diverse environment make us stronger. We encourage people to have an inclusive spirit as our global footprint expands. We seek to generate a place of inspiration and growth for everyone. A safe space, based on equity as a value, where everyone's careers can be promoted and developed in the same way. There is no innovation without diversity and there is no improvement without plurality.
This job can be filled from anywhere #LI-Remote in Argentina.
Are you ready?
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow AWS Azure BigQuery Cassandra Dagster Data Analytics Databricks Dataflow Data pipelines Dataproc Data quality Data Studio Data visualization DB2 DevOps Engineering Flink GitHub GraphQL Hadoop Java Kafka Looker MongoDB NoSQL Oracle Pipelines PostgreSQL Power BI Python QuickSight RDBMS Redshift Scala Snowflake Spark SQL Step Functions Streaming Tableau Teradata Terraform
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