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Designs and builds scalable GCP data pipelines and architectures, focusing on security, compliance, and ELT workflows to turn raw data into business insights.
Lead a team to design, build, and optimize data pipelines and infrastructure for a large bank, using Hadoop, Spark, Kafka, and AWS services to process and monetize financial data.
Czym będziesz się zajmować? Kluczowe wymagania Doświadczenie: Min. 3 lata w Data Science, samodzielne prowadzenie projektów analitycznych "od A do Z". Technologie: Bardzo dobry Python (biblioteki ML i Data),…
Build and operate PayPay’s AWS-based data infrastructure using Terraform and Databricks, ensuring reliability, security, and smooth data workloads for the fintech platform.
Design and build end-to-end data pipelines and analytics infrastructure using Python, Spark, Iceberg, and dbt to enable enterprise reporting and decision-making across cloud and on-premise systems.
Analyzes large datasets using Python, SQL, and big-data tools (Hadoop, PySpark) to run A/B tests and recommend process improvements for an auto-finance division.
Build and maintain large-scale databases and ETL pipelines for a global finance team using Sybase, DB2, Greenplum, Hadoop, and MongoDB.
Builds and optimizes data pipelines, ETL processes, and analytical data stores using Python, Spark, ClickHouse, and PostgreSQL for a large retail-tech company.
Build and maintain a full-stack Java/Spring and React/TypeScript application hosted on AWS, designing microservices and REST APIs while ensuring responsive, cross-browser frontend delivery.
Analyzes retail data to build ML models and dashboards that guide pricing, inventory and marketing decisions using Python, SQL and tools like TensorFlow and Tableau.
Design and maintain OSS performance analytics platforms (InfoVista, AtivaNet, Kibana) for Vodafone’s mobile networks, building dashboards and KPIs to monitor 2G/3G/4G/5G infrastructure.
Analyzes large datasets using Python and SQL to optimize auto-loan processes, runs A/B tests, and builds data pipelines on Hadoop/Spark.
Design and build scalable data pipelines and platforms to power analytics and AI systems using cloud technologies like AWS, Databricks, and Snowflake.
Lead architecture and DevOps for Akamai’s global data streaming platforms, mentoring teams to build ultra-high-performance, fault-tolerant systems using Go, Python, and cloud-native tools.
Principal Software Engineer leads architecture and DevOps tooling for Akamai’s data streaming platforms, ensuring scalability, reliability, and observability for large-scale cloud and edge solutions.
Build anomaly-detection and forecasting models to optimize bank server infrastructure, reducing costs and preventing outages using Python, ML, and distributed data pipelines.
Lead a team to design, build, and maintain scalable data pipelines and distributed processing systems using Spark, Scala, and Hadoop for clients in an ESN setting.
Build and maintain ML models to analyze 4G/5G network performance, troubleshoot issues, and create dashboards for stakeholders using Python, Spark, and cloud tools.
Design and build secure data pipelines and ETL workflows for cyber-defense analytics using Python, Spark, Kafka, and cloud services to support DoD operations.
Lead AI and data science for a grocery retailer’s supply chain, building forecasting, inventory optimization, and agentic AI systems to reduce waste and out-of-stocks.
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