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Senior Data analyst (разработка АБС для филиала в Индии)
Senior data analyst builds and validates data models, creates BI dashboards, and consults product teams for a new banking system serving Sber’s Indian branch, using SQL, Python, and Big Data tools.
Data Scientist (AmazMe)
Build and improve AI-powered recommendation systems for millions of users across banking, e-commerce, and other industries using Python, PySpark, and ML frameworks.
Senior Software Engineer II - Data Engineering and Platform
Senior engineer leading data platform design and ETL pipelines that process petabytes daily for a global connected-TV ad business, using Spark, Kafka, Airflow, and cloud infra.
Software Engineer II
Designs and scales terabyte-scale data pipelines for connected TV and cross-screen advertising systems, ensuring data governance and compliance while collaborating across global teams.
Data Analyst, Forensics, Technology, Investigations & Discovery
Analyze financial and operational data to detect fraud and build risk models using SQL, Python/R, and ML; visualize findings in Tableau and advise clients on anti-fraud strategies.
Senior Data Engineer, AI Systems
Senior Data Engineer builds and scales Spark-based data pipelines on GCP to power Movable Ink’s AI-driven marketing personalization engine, collaborating with ML teams to feed production models.
Python Data Engineer - Cloudera
Build and maintain secure, scalable data pipelines for a bank using Python, Spark, Hadoop, and Cloudera tools like CDP and CDSW.
Senior Data Engineer
Build and maintain scalable data pipelines on Databricks using PySpark, refactor legacy ETL to modern ELT, and ensure data quality and reliability for analytics and reporting.
BAU Lead - Data Engineering
Leads day-to-day data engineering operations in a cloud-first environment, building and optimizing AWS and Snowflake-based pipelines, and managing a team to support production systems and continuous improvement.
Data Engineer
Designs and maintains data pipelines, models, and transformations for clients in finance, energy, gaming, and telco using Python, PySpark, SQL, and cloud platforms like Azure.
Data Engineer - Finance
Build and maintain PySpark-based data pipelines and SQL queries to process financial data for a rapidly growing AI company, working onsite in a 6-month contract role.
(Senior) Data Engineer (Kafka)
Designs and maintains scalable, event-driven data pipelines in AWS using Kafka (MSK), AWS Glue, and Python to power a company-wide Operational Data Store.
Data Engineering Tech Lead (MDM)
Leads a team to build and maintain a cloud-native Master & Reference Data platform (MDM/RDM) using Kafka, AWS services, and microservices, ensuring trusted, scalable data across Aviva’s business domains.
Data Engineering Tech Lead (ODS)
Leads a team to build and maintain a cloud-native Operational Data Store (ODS) using Kafka, AWS Glue, ECS, and containerized microservices, ensuring scalable, event-driven data pipelines for enterprise-wide data access.
Data Engineer
Designs and builds analytics-ready datasets and AI-augmented data products for insurance domains like Property & Casualty, Life & Health, or Finance, ensuring data quality, governance, and business usability.
Enterprise Architect - Databricks
Designs and leads enterprise-scale Databricks Lakehouse platforms on Azure, AWS, or GCP, including governance, security, and AI/ML workloads, while migrating legacy systems and mentoring teams.
Senior Manager Architect - Data
Lead the technical vision for Capital One’s cloud-based data ecosystem, designing distributed processing, storage, and real-time analytics to power AI/ML and customer experiences in financial services.
GCS, Data Scientist, AVP
Builds ML and statistical models to detect threats, prioritize vulnerabilities, and enrich security operations using Python, SQL, and Databricks for large-scale cybersecurity datasets.