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Design and maintain scalable ETL pipelines for music data using Python, PostgreSQL, Spark, and AWS, transforming raw records into business insights in a fast-paced startup.
Senior Data Engineer builds and optimizes ETL pipelines, cloud data infrastructure, and Python apps to process millions of music-industry records daily using AWS, Snowflake, Spark, and Airflow.
Senior Data Engineer at Bureau to design and own the cloud data lake and streaming pipelines that power real-time fraud detection and identity intelligence products using AWS, Spark, Airflow, and graph databases.
Lead a hybrid team of data engineers to build scalable pipelines and platforms that power analytics and data science for a leading sports-betting and gaming company.
Build and deploy agentic AI workflows for legal SaaS, using FastAPI backends and LLM tooling to automate contract review and legal research.
Build and maintain Databricks-on-Azure pipelines and dashboards that turn industrial manufacturing data into KPIs and insights for R&D, quality, and production teams.
Analyze e-commerce product and marketing data to validate A/B tests, uncover growth insights, and evaluate AI features using SQL, Tableau, and LLM-based frameworks.
Build and maintain scalable back-end services in Python/Go for fraud-prevention and compliance analytics, using distributed architectures, APIs, and cloud infrastructure.
Lead architecture and team for Inari’s Data & AI Platform, integrating AWS, Kubernetes, Databricks, and AI systems to power predictive design and scientific workflows.
Build a cloud-native analytics platform from scratch: warehouse, dbt pipelines, semantic layer, and embedded analytics to turn HR survey data into insights for clients and internal teams.
Build and maintain cloud data pipelines and datasets to track cloud costs, usage, and performance for engineering and finance teams using AWS, Snowflake, and Python.
Engineering Manager- Data & Analytics Location: Bengaluru, Karnataka, India Department: Weekday's Client via platform Workplace: on_site Employment Type: full Description This role is for one of the…
Designs and maintains the data infrastructure for an AI company, ensuring scalable pipelines and efficient data models.
Builds and maintains data pipelines and infrastructure to support AI model training and analytics at a fast-growing AI company.
Senior Data Scientist builds and deploys ML models to optimize pricing, orders, and logistics for a large fashion ecommerce retailer using Python, PyTorch, and Spark.
Build and maintain cloud data pipelines and platforms for clients using AWS/GCP/Azure, Snowflake, Databricks, Airflow, Spark, and Python.
Senior data engineer builds ETL pipelines, data-delivery tools, and monitoring for Ozon Bank’s analytics platform using Python, Airflow, ClickHouse, Spark, and Kubernetes.
Builds and maintains scalable data pipelines, ETL workflows, and PostgreSQL databases for a fintech client, using Python, Airflow, and cloud platforms to ensure reliability, performance, and data quality.
Build and maintain GRIPS, Allianz’s core financial-risk platform, by developing Python and PL/SQL services, ETL pipelines, and APIs that turn market data into reliable investment insights for risk managers and portfolio teams.
Senior Data Engineer builds and optimizes Snowflake-based pipelines and data models for an international e-commerce platform, enabling analytics and BI across the business.
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