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Data Engineer (Azure Data Factory)
Build and maintain Azure Data Factory pipelines, orchestrate ETL/ELT workflows, and support Azure SQL/Synapse data warehouses for enterprise clients.
Data Engineer with GCP
Build and maintain GCP-based data pipelines using BigQuery and Cloud Functions, following Medallion architecture and optimizing SQL workflows with Python.
AI Data Engineer (Data Engineering, Cloud Platform, Python)
Build and maintain scalable data pipelines and AI-ready cloud infrastructure using Python, PySpark, and cloud platforms to support analytics and machine learning workflows.
Senior Data Engineer
Senior Data Engineer builds and optimizes large-scale ETL/ELT pipelines using Python, PySpark, SQL, and AWS services to deliver reliable, high-performance data solutions for global clients.
Staff Data Engineer
Design and maintain scalable, event-driven data systems for a large marketplace ecosystem using Kafka, CDC, and cloud data platforms like BigQuery or Snowflake.
Senior Data Engineer
Build and optimize cloud data pipelines for a retail client using Snowflake, Python, DBT, and Azure/AWS, focusing on automation, governance, and Data Vault modeling.
Cloud Data Engineer
Build and operate cloud data pipelines using Python, Google Cloud, and Terraform to deliver scalable data products and KPIs in an agile team.
Streaming Data Engineer
Build and maintain scalable data pipelines and streaming platforms using Python, Spark, and cloud tools to power analytics and ML systems.
Data Engineer (Snowflake)
Build and maintain cloud data warehouse solutions (Snowflake) and CI/CD pipelines for a global media group, using SQL, dbt, Airflow, and AWS.
Business Intelligence Analyst
Build and maintain BI dashboards, write SQL in Snowflake, and turn data into actionable insights for Autodesk’s go-to-market teams using Power BI and AI tools.
Staff Data Engineer
Staff Data Engineer builds and maintains the analytics data foundation at Zendesk, designing scalable pipelines and semantic layers to power product decisions and improve customer retention using modern tools like dbt, Snowflake, and Airflow.
Senior Data Engineer
Build and maintain cloud-based data pipelines and warehouses using Python, Spark, and GCP, enabling scalable analytics and data-driven decisions.
Expert Data Engineer
Designs and builds scalable data pipelines, cloud data warehouses, and ETL/ELT frameworks using Python, Spark, and GCP to enable data-driven decisions.
Senior Data Engineer
Build and scale a fault-tolerant data pipeline ingesting 5B daily clickstream events for Allegro’s ecommerce platform using GCP tools like Dataflow, Spark, Kafka, and BigQuery.
Senior Data Engineer
Build and scale ad-tech data infrastructure that processes billions of events daily, transforming raw ad server and SSP/DSP data into real-time analytics for campaign optimization and business intelligence.
Data Engineer
Designs and builds scalable data pipelines and warehouses using cloud tools (AWS/Azure), SQL/NoSQL, and big-data frameworks (Spark, Kafka) to enable analytics and ML for clients.
Data Engineer
Build and maintain data pipelines, warehouses, and lakes using SQL, Python, Spark, and cloud platforms to power analytics and AI products.
Senior Data Engineer
Build and maintain ETL/ELT pipelines in Python/SQL, optimize Snowflake queries, and run Airflow workflows to turn raw freight sensor data into analytics and ML features for a logistics intelligence platform.
Senior Data Engineer
Senior Data Engineer builds high-performance data pipelines and lakehouse architecture using ClickHouse, Postgres, and open-source tools to power real-estate analytics and products.
Middle Data Engineer
Designs and maintains scalable data pipelines and warehouses for analytics and ML using Snowflake, dbt, ADF, and Azure; writes efficient SQL and Python to process large datasets.