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The Data Engineer will design, build, and maintain scalable data pipelines and ETL/ELT processes while collaborating with cross-functional teams to support analytics. The role requires proficiency in SQL, Python/Java/Scala, and data processing frameworks like Spark or Airflow.
Position Overview Data Engineer - Full-Time, Onsite, Metro Manila, Philippines Job Description We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and ETL/ELT processes.…
The Data Engineer will design, build, and maintain scalable data pipelines and ETL/ELT processes to support analytics and business intelligence. The role requires proficiency in SQL, Python/Java/Scala, and data processing frameworks like Spark or Airflow.
The Analytics Engineer will design and build executive dashboards and the underlying data models to provide trusted insights across the organization. The role focuses on using Tableau, SQL, and Python to transform complex data into clear, actionable visualizations for business stakeholders.
Senior Data Engineer (hybrid, 3 days in downtown Toronto) building and optimizing scalable ETL/ELT pipelines using AWS, Snowflake, Python, SQL, and Airflow for a wealth technology group in the financial sector.
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Senior DevOps Engineer specialized in AWS, responsible for designing scalable cloud environments, migrating workloads across AWS accounts, and building CI/CD pipelines and infrastructure automation using Terraform, CloudFormation, and container services like ECS/EKS.
The Senior Data Engineer will design, build, and optimize complex data architectures and pipelines for Arcoprime. The role focuses on ensuring data security and availability using technologies like Python, Spark, Airflow, and AWS services.
The Data Engineer will design and build scalable data pipelines and cloud-based data solutions on AWS to support advanced analytics and business use cases. The role involves modeling data, integrating various sources, and collaborating with cross-functional teams to ensure data quality and performance.
The Senior Data Engineer will design, build, and optimize complex distributed data architectures and pipelines using AWS, Python, and SQL. The role involves automating infrastructure via IaC, ensuring data quality and security, and providing technical mentorship.
This Senior Data Engineer role involves designing strategic data architectures and pipelines for a global insurance company using Snowflake, AWS, and Power BI. The position requires translating business needs into technical solutions and offers a path toward data architecture leadership.
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AWS Data Engineer designing and maintaining large-scale data architectures (Data Lakes, Data Warehouses, Lakehouses) on native AWS services, building automated ETL/ELT pipelines with Python/Scala/SQL, Spark, and AWS data tools like Glue, Redshift, and S3.
Principal Data Engineer architecting and deploying scalable big data systems, ETL/ELT pipelines, and AI infrastructure foundations using distributed computing frameworks (Spark, Flink), streaming platforms (Kafka), cloud data warehouses, and data lake architectures.
The Lead Data Engineer builds and maintains custom data ingestion and MLOps platforms using distributed systems, Apache Airflow, Kafka, Spark, and Databricks. The role involves designing scalable data pipelines and supporting data scientists in deploying ML models on cloud and on-premises infrastructure.
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Senior individual-contributor Data Engineer owning the full lifecycle of Bain's Coro B2B analytics data platform — from technical architecture and hands-on Python development through CI/CD deployment and operations, while mentoring junior engineers.
Mid-level Data Engineer building and maintaining scalable data pipelines and ETL/ELT processes using Databricks, Apache Spark, and cloud platforms (Azure/AWS/GCP) at an engineering services firm.
Cloud/FinOps Data Engineer building and optimizing cloud billing data pipelines on GCP or AWS, using Python, SQL/NoSQL, and big data architectures to drive C-level reporting.
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