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Data Platform Developer (Kafka)
Build and maintain scalable event-driven data pipelines using Kafka, Spring Boot, and GraphQL for a banking client, deploying across cloud and on-premise environments.
Kafka Architect / Streaming Data Architect
Design and implement enterprise-scale Kafka streaming architectures for a bank’s data lakehouse, integrating Cloudera, CDC pipelines, and real-time processing to ensure high throughput, fault tolerance, and regulatory compliance.
Backend Developer - IBM API Connect (Open Banking)
Design, build, and maintain secure Open Banking APIs using IBM API Connect and DataPower for a Saudi fintech client, with a focus on scalability and governance.
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.
Associate Platform Infrastructure Engineer
Build and maintain Kubernetes clusters, VPCs, and shared cloud infrastructure for 600+ engineers using Java and IaC, ensuring reliable foundations for ecommerce partnership tools.
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.
Frontend-разработчик (react)
Builds and maintains a React/TypeScript SPA that integrates with Keycloak and Kafka, implementing OAuth 2.0/OIDC auth flows, UI components, and monitoring dashboards for Moscow’s city-wide digital platforms.
Platform Engineer
Build and operate the shared infrastructure substrate (Kubernetes, VPCs, Kafka) that supports 600+ product engineers, writing production Java code and IaC modules to scale the platform reliably.
Director, Backend Engineering - Brokerage
Lead backend engineering for GalaxyOne, a platform merging traditional and crypto markets with trading, yield products, and interest reinvestment in Bitcoin.
L2 Support Analyst (OCS)
Join our Team About this opportunity: We are seeking an experienced Netcracker Online Charging System (OCS) L2 Support Analyst to join our telecom production support team. In this role, you will ensure the…
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.
Senior Data Engineer - Streaming
Design and implement a real-time streaming data architecture using Kafka, Spark Streaming, and Microsoft Fabric to replace batch processing with event-driven pipelines.
Senior Data Engineer — Lakehouse & Real-Time Platform
Build and maintain a modern data lakehouse platform, creating batch and real-time pipelines with Kafka, Flink, AWS, Snowflake, and Databricks to power analytics and ML.
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.
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.
Lead Data Engineering (H/F)
Lead a team of data engineers to design, deploy, and maintain GCP-based data platforms and pipelines for a digital-first bank, setting best practices and driving adoption of modern data engineering tools like Kafka, BigQuery, and Kubernetes.
Consultant AMOA Technique & Data Engineering
Acts as a technical business analyst bridging business needs with back-end and data teams, working on data and application solutions using Java, REST APIs, PostgreSQL, Cassandra, Spark, and Kafka.