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Build and maintain large-scale data pipelines and ETL components in Java/Scala, using Spark for batch/streaming processing to support enterprise clients in media, healthcare, and tech.
Designs and maintains scalable data pipelines, warehouses, and governance frameworks using Python, SQL, and cloud tools to ensure clean, reliable data for analytics and reporting.
Designs and optimizes ETL pipelines, builds data warehouses, and creates dashboards using SQL and scripting to deliver business insights.
Senior Data Engineer builds and maintains scalable data pipelines and ETL processes using Python/Java/Scala, Spark, Hadoop, and cloud platforms.
Designs and optimizes data pipelines, ETL processes, and SQL-based data models for analytics, using big data tech and cloud resources.
Design and maintain scalable data pipelines, cloud data lakes/warehouses, and ETL workflows using Python, Spark, and Airflow to support analytics and ML across AWS/GCP/Azure.
Designs and builds secure, scalable data pipelines and APIs to collect, validate, and govern enterprise data across cloud platforms like AWS and Azure.
Design and maintain scalable data pipelines in Python or Java, optimizing cloud-based storage and ensuring data integrity for analytics teams.
Lead a team building data pipelines and real-time analytics for e-commerce/travel clients using Kafka, Spark, and cloud platforms.
Build and scale EarnIn’s real-time financial data infrastructure using AWS, Kafka, Spark, and Python/Scala to power earned-wage insights and analytics for millions of users.
Build and deploy AI-powered applications using LLMs, vector databases, and RAG pipelines. Integrate models with APIs and scale data pipelines for large datasets.
Design and build scalable data pipelines and architectures for AI/ML and BI, working with customers to implement robust data solutions using tools like Spark, Kafka, and SQL.
Designs and maintains scalable data pipelines, cloud infrastructure, and CI/CD workflows using Python, Docker, Kubernetes, and Terraform to deliver reliable data solutions.
Designs and builds ETL pipelines, optimizes data warehousing, and contributes to dashboards using Hadoop, Spark, and Snowflake.
Designs and maintains scalable data pipelines to transform raw data into insights using Python, SQL, Spark, and Hadoop.
Designs and builds data pipelines and warehouses using ETL tools, SQL/NoSQL databases, and big-data platforms to ensure clean, reliable data for analytics and business decisions.
Design modern data architectures and cloud strategies for financial institutions, leading teams to implement scalable analytics, governance, and AI solutions.
Build and deploy reinforcement-learning models for hyper-personalization and agentic AI use cases to boost customer engagement and conversion at a major telecom/media company.
Lead a team building AI and Generative AI models for insurance underwriting, including LLMs for document analysis and risk assessment, while ensuring compliance and scalability in a regulated financial environment.
Builds and maintains scalable blockchain data platforms for a DeFi exchange, using big-data tools like Hadoop and Hive to analyze on-chain and trading data.
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