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AWS Data Engineer — Data Lake & Cloud Automation Expert
Designs and builds AWS-based data lakes and cloud pipelines to feed analytics and ML workloads, using Java/Scala/Python.
AWS Cloud Data Engineer/Architect
Designs and builds AWS-based data platforms and pipelines for enterprise clients, using Python, PySpark, and Terraform to enable scalable, governed analytics and cloud-native data architectures.
Full Stack Engineer
Build and maintain web apps using TypeScript, React.js, Node.js, and Scala while collaborating with designers and clients to deliver secure, high-quality products.
Junior GCP Data Engineer
Build and maintain GCP-based data pipelines, clean and structure raw data, and integrate ML models for clients, using services like Dataflow, BigQuery, and Vertex AI.
Google Cloud Data Engineer
Designs and builds Google Cloud data pipelines, transforms raw data into clean datasets, and integrates ML models for scalable execution to power analytics and AI workloads.
Senior Databricks Data Engineer
Designs and builds scalable data pipelines on Databricks (PySpark/Scala) and Delta Lake, optimizing cloud-native architectures on Azure for batch and streaming workloads.
Senior Data Engineer IV (Remote)
Senior Data Engineer builds and optimizes scalable data pipelines and systems using Hadoop, Spark, Java, and Scala, while mentoring peers and leading technical designs for data-intensive applications.
Experienced Professional | GCP Data Engineer
Designs and builds scalable, secure GCP data pipelines and ETL/ELT workflows using BigQuery, Dataflow, and Spark to support analytics and AI-driven solutions.
Data Engineer - Turn Data Into Strategic Impact
Data Engineer at an IT consulting firm in Turbigo, Italy, building pipelines and models with Spark, Scala, Python, and NoSQL to turn raw data into business insights for clients.
Big Data Engineer - Technical Leader
Leads Big Data projects for a finance client, designing scalable pipelines and architectures using Cloudera/Databricks, Spark, Kafka, and Python/Java/Scala.
Remote Databricks Data Engineer | ETL & Pipeline Expert
Build and maintain ETL/ELT pipelines on Databricks using Python, Scala, and SQL for a consulting client.
Databricks Architect & Data Engineer — Cloud
Designs and builds scalable data pipelines on Databricks and Azure, bridging data engineering with data science needs for enterprise clients.
GCP Data Engineer/Data Architect
Designs and builds secure, scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights.
Data Engineer – AI & Data Products
Build cloud-native data pipelines and AI/ML feature stores for a large insurer, using Python, Spark, and cloud platforms to power analytics and GenAI use cases.
GCP Data Engineer/Data Architect
Designs and builds secure, scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights.
Senior Backend Engineer — Scalable Data Pipelines
Designs and scales backend services and data pipelines for a smart sleep technology company, integrating hardware, ML, and mobile platforms using Java/Scala/Kotlin, Python, or NodeJS/TypeScript.
Senior Data Engineer
Senior Data Engineer builds and scales a Lakehouse-based data platform for a fintech, integrating Redshift, dbt, Airflow, and streaming tools to enable self-service analytics and ML tooling.
Senior Backend Engineer — Scalable Data Pipelines
Designs and scales backend services and data pipelines for distributed systems, integrating hardware, ML, and mobile platforms using Java/Scala/Kotlin, Python, or NodeJS/TypeScript.
Google Cloud Data Engineer
Build and optimize Google Cloud data pipelines, including batch/real-time processing, ML model integration, and data quality KPIs for BI, APIs, and databases.
Senior Databricks Data Engineer
Design and build scalable, high-performance data pipelines on Databricks (Delta Lake, Medallion architecture) using PySpark/Scala, optimizing batch and streaming workloads for large-scale data processing in Azure.