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Data Engineer designing and building scalable cloud-based data pipelines, ETL processes, and data infrastructure using SQL, PySpark, and Databricks within JLL's Enterprise Data team.
Staff DevOps Engineer owning core infrastructure (Kubernetes, CI/CD, IaC, observability) that powers AI/ML systems for heavy industries, working across cloud and on-prem/edge environments.
Staff DevOps Engineer owning core infrastructure (compute, networking, storage, CI/CD) for AI systems deployed in heavy industries, using Kubernetes, Terraform/Pulumi, and cloud platforms (AWS/GCP/Azure) with a focus on ML workloads and observability.
Lead end-to-end data engineering projects for a media business, designing scalable data lakes, customer data platforms, and AI-powered analytics solutions using SQL, Apache Spark, and Python or Scala.
A Jr. Data Engineer building and maintaining ETL/ELT pipelines, data warehouses, and platform integrations using SQL and Python to support an audio/advertising media company's analytics ecosystem.
Data Engineer focused on Snowflake platform design, optimization, and governance at a fintech company, working on-site in Mexico City with SQL, Snowpipe, Snowpark, Streams, and Tasks.
Design and build AWS-based data architectures—S3 data lakes, Glue ETL pipelines, Redshift/Snowflake/Databricks warehouses, and RAG-powered AI systems—across diverse client engagements, with mentoring and architecture presentation responsibilities.
Hevo () is a simple, intuitive, and powerful No-code Data Pipeline platform that enables companies to consolidate data from multiple software for faster analytics. Hevo powers data analytics for 2000+ data-driven…
¡Hola! Somos una empresa tecnológica con producto propio, especializada en el desarrollo de soluciones de software para entornos críticos del sector aeronáutico. Creamos tecnología robusta, escalable y alineada con las…
Design, implement, and optimize scalable data solutions on Microsoft Azure and Fabric—including pipelines, data lakes, warehouses, ADX/KQL, and BI dashboards—for an aviation-sector product company.
Senior Azure Data Engineer designing, implementing, and optimizing scalable data solutions on Azure and Microsoft Fabric for an aeronautical software company, working with ADF, Databricks, Synapse, ADX/KQL, Spark, and Power BI.
Data Engineer at Bluetab (IBM Company) developing and optimizing large-scale data pipelines using Scala/Python/PySpark on Spark and Databricks, primarily on Azure, with data lake and warehouse design.
Data Engineer focused on SAP BW/BW4HANA data warehouse and BI projects within a consulting firm's Data Analytics team.
Data Engineer at Indra Group designing, developing, and maintaining ETL/ELT pipelines for a European cyberdefense project, working with SQL, Python, orchestration tools like Airflow/NiFi/Prefect, and relational/NoSQL databases.
The Senior Azure Data Engineer will design and maintain scalable cloud-based data platforms, pipelines, and warehouses using Azure services, Databricks, and PySpark. This remote role supports energy sector operations and requires extensive experience in data engineering and SQL development.
Senior Data Engineer on a 3–4 month contract designing and maintaining ETL/ELT pipelines on Microsoft Fabric Lakehouse, implementing medallion architecture (bronze/silver/gold layers) with SQL, Python, and Spark.
The Snowflake Data Engineer will build and maintain cloud-native data ingestion and ELT pipelines on AWS and Snowflake. The role involves collaborating with cross-functional teams to develop and deploy production-ready data solutions and dimensional models.
Data Engineer supporting enterprise data migration and reporting transformation for a bank, using SQL, Hive, Impala, and Hadoop ecosystem tools for source-to-target mapping and ETL development.
The Data Engineer will design, build, and maintain scalable ETL/ELT pipelines and data platforms to support business intelligence and machine learning initiatives. The role requires proficiency in SQL, Python, and ETL tools to ensure data integrity and system performance.
Data Engineer building data warehouse and data management systems using SQL, major public clouds (AWS, GCP, Azure), and their data warehouses (Redshift, Synapse, BigQuery, Snowflake) along with orchestration tools like Airflow/Dagster.
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