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Build and maintain robust ETL pipelines, cloud data platforms, and databases to support analytics and AI teams using Python, Spark, and cloud services like AWS/Azure/GCP.
Design and build large-scale Big Data pipelines and ETL modules using Python, SQL, Spark, and cloud platforms (AWS/GCP/Azure) to process and integrate data for enterprise clients.
Build and maintain data platforms for financial clients, ingesting and processing data in batch/streaming pipelines using Spark, Kafka, and cloud tools to deliver analytics and insights.
Build and maintain scalable data pipelines using Scala and Spark to process complex datasets for a railway-focused company.
Senior Data Engineer builds scalable Python pipelines and data models in the cloud to turn business needs into actionable insights.
Designs and builds secure data pipelines for large datasets, focusing on ETL, cloud data warehousing, and security-cleared environments.
Data Engineer building scalable data pipelines on Databricks and Spark, integrating data sources and optimizing solutions for clients in a consulting role.
Build and maintain cloud-based data pipelines on Azure, using Spark, Scala, Python, and SQL to feed a DataLake and power cost-tracking dashboards for FinOps.
Build and maintain scalable data pipelines, integrate diverse sources, and support analytics teams with Python/R scripts and cloud-based ETL workflows.
Lead a team building and optimizing large-scale data pipelines using Spark/Scala, Hadoop, Kafka, and related Big Data tools for enterprise clients.
Build and maintain scalable data pipelines, optimize Big Data architectures, and ensure data quality and governance for analytics and decision-making.
Build and maintain robust data pipelines and cloud data platforms, preparing data for AI systems and ensuring quality and governance for analytics and agentic use cases.
Designs, builds, and maintains scalable data pipelines and architectures to integrate and process diverse data sources for analytics and decision-making.
Build and maintain high-volume data pipelines on AWS/Snowflake, transforming raw ingestions into clean, modeled datasets for analytics and reporting.
Design, build, and optimize scalable data pipelines and architectures for international clients, ensuring data quality, security, and performance while collaborating with data scientists and business teams.
Build and optimize robust, scalable data pipelines and architectures for enterprise clients, blending hands-on engineering with consulting to turn business needs into actionable data solutions.
Build and maintain data pipelines and advanced processing systems for banking clients using Python, Spark, and cloud platforms like AWS/GCP.
Design and build end-to-end data pipelines, from ingestion to production, for enterprise clients using SQL, Python/Java/Scala, and cloud or big-data stacks.
Design and build scalable data pipelines, ETL processes, and dashboards using Python/Scala, SQL, NoSQL, and AWS for a government employment agency.
Build and maintain data pipelines, clean and model customer data, and deploy scalable BigData solutions on AWS/Azure for marketing analytics.
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