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Data Engineer (Snowflake)
Build and maintain Snowflake-based ELT pipelines and dbt semantic models to power a multi-country fintech analytics platform that delivers credit solutions to users and merchants across Latin America.
Specialist - Data Platform Engineering
Build and maintain scalable data pipelines and streaming infrastructure using Spark, Flink, Kafka, and Databricks for reliable, high-performance data processing at scale.
Senior Data Architect
Designs and leads large-scale data lake and ODS solutions on Cloudera in AWS for a bank, defining end-to-end architectures and best practices while working across hybrid teams.
Data Engineer
Designs and maintains scalable data pipelines for batch and real-time processing, using Python, PostgreSQL, Apache NiFi, and Kafka to ensure data quality and availability for analytics.
Junior Data Platform Engineer
Build and maintain open-source data platforms using Python, SQL, Spark, and Kubernetes; develop ingestion pipelines, debug configs, and deploy dataflows under senior guidance.
Data Engineering Lead
Lead the design and build of a cloud-first data platform using Azure, Databricks, and Spark, while coaching a global team to deliver real-time analytics and AI-ready data pipelines.
Java FullStack Developer
Build Java microservices and Airflow pipelines for MSCI’s data catalog and AI-ready marketplace, integrating Collibra for governance and MCP tools for automated data discovery.
Java Developer, CDP API
Build and deploy AI-driven data pipelines and APIs that turn MSCI’s financial, ESG, and climate datasets into self-service products for quant developers and portfolio managers.
Senior Data Engineer ID82548
Senior Data Engineer builds and optimizes dbt and Airflow pipelines, ensuring reliable data flows for BI tools with zero downtime and robust error handling.
Data Engineer — AWS SageMaker Unified Studio (Sydney)
Build and maintain scalable AWS data pipelines for HR analytics using SageMaker, Redshift, Glue, and Kinesis, collaborating with data scientists and architects.
Data Engineer – AWS SageMaker Unified Studio-Australia Only
Build and maintain scalable AWS data pipelines and ML platforms using SageMaker, PySpark, Airflow, and Redshift to power HR analytics and AI features.
Senior Data Engineer - Lakehouse & Real-Time Pipelines
Senior Data Engineer builds and maintains batch and real-time data pipelines on a Lakehouse architecture using SQL, Python, Snowflake, Databricks, and Airflow to support analytics and ML across APAC.
Data Engineer
Build and maintain AWS-based data pipelines and migrations using Redshift, PostgreSQL, Python, and SQL to ensure secure, scalable data delivery for analysts and engineers.
GCP Data Engineer
Designs and builds scalable GCP data pipelines using BigQuery, Dataflow, and Pub/Sub to ingest, transform, and deliver data for analytics and reporting.
Senior Data Engineer - Product
Build and maintain scalable data pipelines and Lakehouse assets on AWS, Snowflake, and Databricks to power real-time and batch analytics for Domain’s property platforms.
Data / Analytics Engineer – AWS / Databricks – Economie circulaire – H/F
Build and maintain data pipelines and a cloud data warehouse using AWS and Databricks, then expose clean datasets and dashboards to business teams while contributing to ML/AI use cases.
Data Engineering Manager (F/H)
Manage a European data-engineering team, build and optimize Snowflake/Matillion pipelines, and enforce quality, monitoring and documentation standards.
Data Engineer Snowflake Senior H/F
Senior Data Engineer designing and building Snowflake-based data platforms, pipelines, and transformations using dbt, Airflow, and Terraform on AWS.
DevOps engineer (Внедрение ML платформы)
DevOps engineer to build and maintain CI/CD, monitoring, and Kubernetes-based infrastructure for an internal ML platform used for training models and AI agents.