Arc helps you hire senior Data Engineering developers in São Paulo. With 105 Data Engineering vetted programmers in São Paulo available for hire on a full-time basis, we have one of the largest network of vetted talent. Our vetting process ensure you hire senior Data Engineering developers and experts in São Paulo that you can trust.
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Want to expand your Data Engineering development team in São Paulo? Here are some of our top remote senior Data Engineering developers in São Paulo for you to browse, interview, and hire.
Senior Data Engineer with over 12 years of experience in designing and building data pipelines, data warehouses, and data lakehouses. Highly skilled in AWS, Snowflake, Azure, and other advanced technologies, supporting complex data projects and business initiatives. Exceptionally dedicated professional with keen interpersonal, communication, and organizational skills. Technologies: Python, PySpark, AWS (KInesis, Lambda, S3, others), DBT, Spark, Databricks, Airflow Fundamentals Certified, Snowflake, Docker, Azure Certified Data Engineer (Data Factory, Synapse, others), ETL, Salesforce, DBT, Snowpipe, SQL Server, Terraform, Pentaho, SQL Server, Postgresql.
Professional Data Engineer with 8 years experience in the fintech, edtech and SaaS market, building data warehouses, data pipelines, data integrations for business platforms, data frameworks, modeling, analysis and dashboards. An expert in Python and SQL with experience as a product owner implementing and sustaining a CRM platform.
Google Cloud PlatformData ManagementData modelingData PipelinesData QualityApache AirflowData architectureCloud Functions
Python
AWS
SQLGitHub
GitLabDatabricksCI/CD
APIPandasDashboardsTableauGitLab CI/CDNumPyAmazonBankingJupyterRelational DatabaseGoogle BigQueryPubNubOracle ResponsysHiveQLFacebook APIPower BIProduct OwnerAPI IntegrationGoogle adsFinancial MarketsMarketing campaign• Vast experience on building production, data and machine learning pipelines, on major Cloud providers (AWS,Google Cloud and Azure) using Cloud Native (BigQuery, AWS Redshift, Azure Data Factory, ...) and Cloud Agnostic tools (Snowflake, Databricks, Airflow, ...). • AWS and Azure certified • Contributed to Snowflake open-source Terraform provider
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