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Build and maintain open-source data platforms using Python, SQL, Spark, and Kubernetes; develop ingestion pipelines, debug configs, and deploy dataflows under senior guidance.
Build and maintain QlikView dashboards and reports for fund accounting, integrating SQL data sources and optimizing complex data models to support financial decision-making.
Build and maintain QlikView dashboards and reports for fund accounting, integrating SQL data sources to enable data-driven decisions in a private equity fund administration context.
Обязанности: Сформировать дорожную карту ML‑инициатив для трейдинга и смежных функций (ценообразование, прогнозы спроса/предложения, оптимизация логистики, риск‑метрики); Разрабатывать end-to-end LLM-приложения : от…
Builds and maintains data pipelines using Ab Initio, Spark, PySpark, and Databricks for ETL and warehouse/lake implementations.
Total compensation range: €28,968 - €39,952 The Position At Hive, we're building the most customer-centric operations platform in Europe — and our Merchant Care team is at the heart of that mission. As a Merchant…
Analyze user behavior and conversion funnels for a crypto product using SQL and dashboards, supporting A/B tests and data-driven product decisions in a 3–6 month internship.
Builds and optimizes data pipelines for banks using Python, ETL tools (Informatica, Airflow, Spark), and databases (Oracle, ClickHouse) to support regulatory reporting and analytics.
Build and optimize large-scale data pipelines using Apache Spark and Scala/Python to power financial IT systems, ensuring scalability and reliability for cross-country operations.
Builds and maintains ETL/ELT pipelines, data lakes, and warehouses using Hadoop/Spark to process blockchain and financial logs for AML/KYT compliance and on-chain analytics.
Designs and builds scalable GCP data pipelines and architectures, focusing on security, compliance, and ELT workflows to turn raw data into business insights.
Internship role analyzing product metrics for Binance’s crypto exchange, running A/B tests, building dashboards, and translating data into actionable insights.
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 data pipelines in Snowflake, ingesting and transforming financial data for retail banking and payments systems using Python, PySpark, and CI/CD tooling.
Analyzes large datasets using Python and SQL to optimize auto-loan processes, runs A/B tests, and builds data pipelines on Hadoop/Spark.
Build anomaly-detection and forecasting models to optimize bank server infrastructure, reducing costs and preventing outages using Python, ML, and distributed data pipelines.
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 high-performance data pipelines for JioStar’s ad delivery and analytics systems using Spark, Kafka, and Scala to process petabyte-scale datasets.
Analyze retail media performance metrics (ROAS, ad spend, churn) using SQL and Python to optimize advertiser and retailer outcomes, build dashboards, and support product decisions.
Designs and maintains scalable big-data pipelines using Spark, Kafka, and GCP services like BigQuery and Pub/Sub, focusing on ETL and cloud-native data architecture.
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