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Build and maintain AWS-based data pipelines and ETL workflows using Python, Spark, and Glue to feed analytics and reporting systems.
Build and maintain ETL pipelines, optimize MongoDB schemas, and create Metabase dashboards to power AI-driven travel rental analytics and reporting.
Design and build scalable data pipelines and warehouses for a global client using Spark/Scala, Python, SQL, and AWS services like S3, Glue, and EMR.
Build and optimize scalable data pipelines and analytics infrastructure using Python, Spark, Airflow, and ClickHouse to power Atolls' global shopping platform.
Maintains and scales AWS cloud infrastructure for data analytics projects, automates deployments with CI/CD, and ensures security and cost efficiency.
Build and maintain AWS-based ETL pipelines for a banking client, migrating legacy systems to a Lakehouse architecture using PySpark and Python.
Build and maintain Airthings’ data platform and algorithms using Python, Kotlin, SQL, and AWS services like Glue and Athena to process sensor data and deliver insights to users worldwide.
Build and maintain cloud data pipelines for a banking client, migrating legacy systems to AWS (S3, Redshift, Athena) using Python, PySpark, and AWS Glue.
Senior Data Engineer builds and optimizes AWS-based data pipelines for a financial-sector client, using DBT, Airflow, Glue, Redshift and Python to transform and validate large datasets.
Design and maintain AWS-based data pipelines, cloud data platforms, and AI/ML solutions using Python, Spark, and AWS services like S3, Glue, Redshift, and SageMaker.
Design and build high-performance RESTful APIs and data pipelines for a U.S. consumer-insights provider, using Python, Snowflake, AWS, and data-clean-room tech.
Build and maintain AWS-based data pipelines and ML workflows, turning datasets into insights and scalable analytics for clients across industries.
Own and evolve Vatix’s AWS-based data warehouse (Redshift, Postgres RDS) and pipelines that power real-time customer dashboards, while setting the technical direction for data engineering and integrating third-party systems.
Senior Data Engineer builds and maintains data pipelines and infrastructure for an automotive client using Python, AWS, and AI tools like Pyspark and Glue.
Lead a team to design, build, and maintain scalable data pipelines and analytics platforms using Azure Data Factory, Databricks, and SQL Server, ensuring high-quality financial data for decision-making.
Design and build scalable AWS-based data pipelines and cloud-native architectures to process large datasets, using services like Glue, Redshift, Lambda, and Spark.
Build and maintain Zendesk’s globally distributed data platform using AWS, Spark, Flink, and Kubernetes to power customer-facing analytics and ML initiatives.
Build and maintain AWS cloud infrastructure for a smart metering platform that processes large IoT data volumes, focusing on automation, CI/CD, and Infrastructure as Code.
Build and maintain the data pipelines and warehouse that power a quantitative investment firm’s ML-driven equity strategy, using Python, Snowflake, Airflow, DBT, and AWS.
Senior Data Engineer builds and maintains AWS-based data pipelines for an automotive client using Python, SQL, and services like S3, Glue, and Athena.
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