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Leads enterprise-wide AI data governance, setting policies and standards to ensure trusted, secure, and compliant data for AI/ML use while embedding governance into data pipelines and analytics platforms.
В SberData мы создаем централизованное хранилище данных. Сбер сегодня обладает одним из крупнейших в стране хранилищ данных - объем данных банка превысил 250 ПБ. За секунду с нашими данными совершается около 500 тысяч…
Designs and maintains enterprise data architecture, builds scalable data platforms (lakes, warehouses, streaming), and sets standards for modeling, governance, and cloud integration to support analytics and AI.
Builds and maintains data marts for risk-management systems using SQL, ETL, and big-data tools like ClickHouse and Spark.
Build and deploy ML models using Python, TensorFlow/PyTorch, and MLOps tools; integrate AI features into products and optimize performance.
Build and scale backend systems managing global advertiser budgets using Flink, Kafka, Spark, Python, and .NET to ensure seamless campaign performance for thousands of customers.
Data Analyst builds and improves Sber’s product recommendation engine by analyzing large datasets, testing hypotheses, and refining data quality to personalize customer offers.
Designs and builds scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights while ensuring security, compliance, and efficiency.
Builds and configures marketing campaigns for a bank by writing SQL queries, analyzing customer data, and automating processes using tools like Greenplum and Python.
Design and maintain high-volume data pipelines for aerospace applications using Python, SQL, PostgreSQL, and cloud tools like Cloudera/Hadoop/Spark.
Designs and builds data pipelines and warehouses for clients using Hadoop, Snowflake, Kafka, Spark, and Python/Java.
Builds and maintains ETL pipelines and data warehouses on GCP to feed AI-driven marketing systems, using Python, SQL, dbt, and Airbyte.
Builds and optimizes data pipelines to automate scientific content generation, using Spark/Hadoop and cloud solutions to reduce manual entry and improve data consistency.
AI & Automations Manager This job is with eBay, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At eBay,…
Leads enterprise-wide AI data governance and management, setting policies for data quality, privacy, and responsible AI use while collaborating with engineering, security, and compliance teams.
Designs and builds enterprise-scale data architectures, data warehouses, and cloud platforms to support analytics and BI, ensuring governance, security, and performance.
Design and maintain scalable ETL pipelines, data warehouses, and real-time streaming solutions using SQL, Python, and cloud platforms like AWS/Azure/GCP.
Design and maintain scalable data pipelines and infrastructure using Spark, Kafka, and cloud tools to process large datasets for enterprise clients.
Build and maintain scalable data pipelines on Azure and AWS, integrating financial data sources with tools like Databricks, Glue, and Redshift to deliver clean, secure datasets for analytics and modeling.
Senior Data Engineer builds and maintains scalable data pipelines and platforms to process structured/unstructured data, enabling analytics and insights for mission-driven projects like fraud detection and healthcare research.
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