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Architect/ Senior Data Engineer @ Scalo
Design and build scalable data pipelines, Data Lakes, and DWHs using BigQuery, Kafka, Airflow, and Kubernetes, with exposure to GenAI integrations.
Senior Data Engineer @ Scalo
Build and maintain data pipelines and warehouses using Oracle, PostgreSQL, BigQuery, Informatica PowerCenter, Kafka, and Python to feed analytics and ML workloads.
Data Engineer (Spark) @ Addepto
Build and maintain scalable data pipelines for large enterprises using Spark, Cloudera, and Airflow to process streaming and batch automotive, aerospace, and telecom data.
Senior Data Engineer @ Vatix
Own and evolve Vatix’s AWS-based data warehouse (Redshift, Postgres RDS) and pipelines that power real-time customer dashboards, while setting the technical direction for data engineering and integrating third-party systems.
Senior Data Engineer – Databricks
Build and optimize cloud-based data platforms using Databricks, SQL, Python, and cloud data warehouses to enable data-driven decisions for global clients.
Data Engineer (ETL/GCP)
Build and optimize ETL/ELT pipelines in Google Cloud, transforming raw data into reliable datasets for analytics and reporting using BigQuery, Data Vault, and Airflow.
Data Engineer (K/M)
Builds and maintains dentsu’s Google Cloud-based data platform, writing Python pipelines in Airflow, integrating marketing and semi-structured data, and modeling in BigQuery for analytics and reporting.
Senior Data Engineer (Scala)
Build and scale a high-throughput data pipeline for Allegro’s 5B daily clickstream events using Scala, Spark, Kafka, and GCP services like Dataflow and BigQuery.
Google Cloud Data Engineer
Design and build scalable data pipelines and warehouses on Google Cloud Platform using BigQuery, SQL, and Python to enable data-driven decisions for global clients.
Data Engineering Team Lead
Lead a global data engineering team to build and maintain GCP-based pipelines and platforms that power analytics, compliance, and AI use cases for a FTSE 100 fintech.
Big Data Engineer IV
Design and build large-scale data pipelines and warehouses for a high-traffic ad exchange, processing over 1 PB of daily events with Java/Scala/Python, Spark, BigQuery, and GCP.
Big Data Engineer IV
Build and optimize large-scale data pipelines and warehouses for a digital ad exchange handling billions of daily requests, using Java/Scala/Python, Spark, BigQuery, and GCP.
GCP Data Engineer: BigQuery Pipelines, Airflow & CI/CD
Design and maintain scalable GCP data pipelines using BigQuery, Airflow/Cloud Composer, Terraform, and CI/CD for analytics solutions.
GCP Data Engineer: Build Scalable Pipelines & BigQuery
Design and maintain scalable data pipelines on GCP, focusing on BigQuery warehousing, data modeling, and query optimization using Airflow, Cloud Composer, and Terraform.
Principal Data Engineer - Data Enablement
Principal Data Engineer enables marketplace teams to adopt Data Mesh practices, event-driven pipelines, and data product standards so they can deliver reliable, business-impactful data products.
Senior Google Data Engineer
Designs and builds scalable data pipelines on Google Cloud using BigQuery, Dataflow, and Airflow to support analytics and AI workloads.
Senior Data Engineer room
Build and maintain data pipelines, warehouses, and lakes using Oracle, PostgreSQL, BigQuery, Kafka, and Python to feed analytics and reporting systems.
Analytics Engineer: dbt + BigQuery Data Pipelines
Builds and maintains dbt-based data pipelines in BigQuery, designs reliable models, and enforces data quality for analytics at Box Poland.
Senior Data Engineer
Senior Data Engineer designs and builds scalable data pipelines and warehouses, mentors junior engineers, and ensures reliable data delivery for analytics and business insights.
Senior Data Engineer
Senior Data Engineer builds scalable data platforms using cloud tools (Azure, GCP, AWS), Databricks, and modern warehouses (Synapse, BigQuery, Redshift, Snowflake) to enable data-driven decisions.