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Lead Scribd’s Data Engineering team to build scalable data pipelines and platforms for analytics and ML, setting standards and fostering collaboration.
Builds and maintains data pipelines and infrastructure to power AI/ML applications, collaborating with data scientists to integrate models into systems.
Senior full-stack engineer building end-to-end features for a B2B government-relations SaaS platform using Kotlin/Spring Boot backend, React/TypeScript frontend, and AWS infrastructure.
Senior backend engineer building distributed reservation systems in Scala and microservices to integrate travel partners and improve booking infrastructure.
Build and maintain full-stack Java/Scala applications for client onboarding, troubleshooting issues, optimizing performance, and training users.
Build and maintain large-scale data infrastructure for a top crypto exchange, integrating AI agents to automate scheduling, cost optimization, and incident response across distributed systems.
Build and maintain scalable backend systems for a leading multi-currency payment platform using Java, Python, or Ruby, with cloud and microservices expertise.
Build and maintain backend data pipelines and APIs in Python to process commodity trade data, ensuring reliable delivery to internal and external clients.
Build and maintain ETL pipelines for an automotive client using Azure Data Factory, Databricks, and SQL; write Python/Scala/Java code and collaborate in Agile teams.
Designs and optimizes scalable data pipelines using Spark, SQL, and Scala in a hybrid role for an international outsourcing firm.
Designs and builds scalable big-data pipelines using Spark and Scala, integrating Python, Airflow, and DevOps practices to process and analyze large datasets.
Builds and maintains cloud data pipelines and models on GCP/Azure using Python/Java/Scala, SQL, and Snowflake/BigQuery.
Designs and optimizes scalable Azure data pipelines using Databricks, ADF, Data Lake Gen2, and SQL, ensuring reliable data flows for an enterprise project.
Designs and builds data pipelines and ETL/ELT processes using SQL, Python/Scala/Java to process large datasets for a fintech company.
Senior Data Engineer designs and maintains Azure-based ETL pipelines using Data Factory, Databricks, and SQL, ensuring efficient cloud data workflows.
Designs and maintains AWS-based data pipelines using Glue, DMS, Redshift, and S3, writing Python/Scala code and optimizing ETL/ELT workflows.
Design and build AWS-based data pipelines, integrate SAP data, and maintain ETL/ELT workflows using AWS Glue and Python/SQL.
Build and maintain scalable data pipelines on Azure using Databricks, ADF, and PySpark to process and transform enterprise datasets.
Build and maintain scalable data pipelines on AWS using Glue, Redshift, and S3, with Python, Scala, and Bash for transformations and CI/CD.
Build and maintain Scala backend services for identity and access management, securing digital identities for METRO’s global retail systems on Kubernetes and PostgreSQL.
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