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Leads DevOps and AI infrastructure for monday.com’s BigBrain team, designing scalable Kubernetes/AWS pipelines, AI gateways, and AIOps agents to handle billions of daily events while mentoring engineers and ensuring security and reliability across global regions.
Lead a team to design and build scalable data pipelines, warehouses, and analytics products using Python, Spark, and Azure, while collaborating with data scientists and stakeholders.
Build ML models to personalize promotions, predict churn, and optimize cashback mechanics for a large Russian grocery retailer.
Senior Data Engineer designs and maintains data pipelines, warehouses, and ETL processes using Spark, Python, and AWS, collaborating with analytics teams to support business goals.
Senior engineer builds and optimizes Zeta’s Scala-based data infrastructure, including Spark jobs and Hadoop clusters on AWS, to power AI-driven marketing analytics for enterprise clients.
Designs and optimizes Snowflake-based data platforms for banking/financial clients, focusing on data architecture, pipelines, security, and compliance while collaborating with engineering and analytics teams.
Build scalable APIs and automation systems to solve internal bottlenecks, working closely with ops, marketing, and sales while integrating AI tools like LLM APIs into new services.
Builds and maintains the bank’s Asset-Liability Management system, calculates liquidity and funding metrics, and visualizes reports using Vertica, ClickHouse, Airflow, and Superset.
Senior backend engineer building data pipelines and services for investigative journalism at the Financial Times, using Python, AWS, and Apache Airflow to process complex datasets for newsroom tools.
Designs and implements scalable AWS-based cloud architectures for Generative AI and Machine Learning solutions, including chatbots, NLP, and customer engagement systems, while ensuring security, scalability, and compliance.
Lead a team building scalable cloud data pipelines and platforms in AWS, enabling AI initiatives and data-driven decisions with Python, ETL/ELT, and modern data engineering practices.
Build and migrate a large-scale data platform for a global game publisher, using Python, Spark, Airflow, Kafka, Trino, and Iceberg to power analytics and ETL/ELT pipelines.
Design and implement data pipelines and dashboards for industrial clients, translating business needs into PostgreSQL queries and ETL workflows with Airflow, dbt, Flink, and Kafka.
Czym będziesz się zajmować? Project scope: Write production-ready code and use GPU or CPU resources according to ML workload capacity needs. Architect, automate and orchestrate cloud DevOps and MLOps pipelines. Create…
Lead data infrastructure and analytics engineering at a fast-growing ecommerce marketplace, designing scalable pipelines, warehousing, and governance to power data-driven decisions across teams.
Owns data quality for Uberall’s analytics platform, validating pipelines, warehouse models, and reports with SQL and automated checks while collaborating with engineering to prevent defects.
Build and maintain data pipelines, dbt models, and integrations for performance marketing analytics using SQL, Python, and ClickHouse to power user acquisition decisions.
Builds and maintains ML pipelines and serving infrastructure for an AI-agent platform, focusing on LLM inference optimization, GPU cluster management, and scalable deployment across cloud and on-prem environments.
Build and own data pipelines, warehousing, and ML infrastructure for an AI-powered workforce development platform, transforming labor market and skills data into job-matching systems using Python, SQL, Airflow, dbt, and AWS.
Senior Python engineer builds and maintains data pipelines, warehousing, and AI-powered features for US fintech clients while mentoring junior engineers and automating deployments.
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