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Design and maintain scalable AWS data pipelines using PySpark, AWS Glue, and Lambda to enable analytics and business intelligence.
Build and maintain ETL/ELT pipelines and PySpark jobs to feed AI and analytics platforms; write SQL, validate data, and troubleshoot issues in a cloud-based data stack.
Build and maintain scalable data pipelines using PySpark, AWS Glue, and Step Functions, while automating infrastructure with Terraform and CI/CD.
Designs and maintains cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica to support healthcare analytics and reporting.
Build and maintain scalable AWS data pipelines using PySpark, Glue, Step Functions, and Lambda for a fintech client, while automating infra with Terraform and CI/CD.
Design and build scalable cloud-native data pipelines and lakehouse architectures, integrating AI/ML capabilities for a government data platform using Python, Spark, Kafka, and AWS services.
Build and maintain cloud data infrastructure on AWS and Databricks, using Python and Informatica IDMC to design pipelines, integrate data sources, and ensure quality and governance.
Build and maintain ETL/ELT pipelines and data integration solutions using SQL, Python, and cloud tools like AWS Glue and Lambda.
Design and build modern data analytics, Big Data, and data-warehouse solutions in AWS, GCP, or Azure, including ETL/ELT pipelines and governance using Databricks, Snowflake, and Spark.
Backend Developer builds and maintains secure, scalable AWS microservices in Python (FastAPI/Flask) to power Trustonic’s global device-financing platform, using Lambda, SQS, API Gateway, and PostgreSQL.
Responsibilities Build, maintain, and optimize ETL/ELT workflows and data integration processes. Develop scalable data architectures on cloud platforms (Azure, AWS, GCP). Ensure data reliability, performance, and high…
Design and maintain scalable data pipelines and ETL processes using Spark, Kafka, and Airflow, and optimize data storage in cloud warehouses and lakes to support analytics and ML initiatives.
Senior Solutions Engineer partners with SI firms to architect and demo Snowflake-based data pipelines and solutions, leveraging PySpark, SQL, and cloud tooling to enable joint customer engagements.
Lead the architecture and strategy of JLL’s enterprise data platform, consolidating global systems into a unified, scalable data layer to power AI-driven insights and analytics for commercial real estate.
Build and optimize data pipelines using AWS Glue, Apache Spark, and Python to handle large-scale data challenges for a Mexico-based tech firm.
Senior role managing Databricks environments, Delta Lake tables, and multi-cloud data pipelines using Python, SQL, and PySpark for reliable data delivery.
Lead a data engineering team to design and scale a robust, end-to-end data architecture for a gaming platform, ensuring reliable reporting, analytics, and LLM consumption while optimizing AWS costs and performance.
Lead a team to design and build ETL pipelines and AWS data lakes using PySpark and Python, integrating data from SAP and SQL sources.
Designs and maintains scalable data pipelines and ETL/ELT processes, integrating multi-source data into centralized platforms and ensuring high data quality for analytics.
Designs and optimizes AWS Glue and PySpark data pipelines for a banking client, ensuring scalable ETL and high data quality while mentoring junior engineers.
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