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Lead a team to design, build, and deploy Python-based data pipelines and cloud applications using PySpark, AWS, and Agile practices for enterprise clients.
Build and maintain enterprise AML/financial-crime systems in AWS, including ETL pipelines, data integrations, and batch jobs using Java/Python and cloud services like AWS Glue and Informatica.
Designs and optimizes SQL queries, builds ETL pipelines with AWS Glue/S3, and develops Python-based data solutions for scalable data warehousing.
Build and maintain scalable data pipelines on AWS using PySpark, Glue, Lambda, and Step Functions, while automating infrastructure with Terraform and CI/CD.
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the…
Celem projektu jest zaprojektowanie i wdrożenie nowoczesnej platformy Data Lakehouse opartej na AWS, która scentralizuje dane operacyjne klienta w jednym, skalowalnym środowisku. Rozwiązanie umożliwi efektywne…
Build and maintain scalable data pipelines, ETL processes, and APIs in AWS/GCP to support analytics and applications, using Python, SQL, Spark, and cloud services.
Responsibilities: - Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization. - Perform data extraction, cleaning, transformation, and flow.…
Builds and maintains scalable AWS-based data pipelines using PySpark, AWS Glue, and Lambda to transform and process large datasets, while automating workflows with Terraform and CI/CD tools.
POSITIONOVERVIEW : Data Engineer (Cloud) POSITIONGENERAL DUTIES AND TASKS : Position Name: Data Engineer (Cloud) Term: 12 Months Minimum Relevant Experience: 5 Years Start Date: Immediate Key Skills: Oracle, MS SQL,…
BAU Lead - Data Engineering (12-month Contract) About the Company: Our client is a Singapore-based Insurance organisation. Role: BAU Lead - Data Engineering (12-month Contract) Remuneration: Up to SGD 7,200 per month…
ABOUT US ODDITY is a consumer-tech company which builds and scales digital-first brands to disrupt offline-dominated categories. With HQ in New York City and an R&D center in Tel Aviv, we built one of the…
Lead the architecture and delivery of an AI-powered SaaS data platform in Snowflake, building scalable ELT pipelines, Power BI analytics, and data quality frameworks while mentoring engineers and collaborating with cross-functional teams.
Build and maintain the data platform for an AI-powered SaaS finance automation product, designing Snowflake pipelines, Power BI reports, and ensuring high-quality, trusted analytics for internal and customer use.
Designs and maintains scalable cloud data pipelines and warehouses using Python, SQL, and AWS services to support analytics and AI workloads.
Maintain and troubleshoot Databricks-based cloud data platforms, ensuring reliable ETL/ELT pipelines and Spark workloads on AWS or Azure for enterprise clients.
Lead a team to design, build, and support Murex-based derivatives systems and integrations, automating trade lifecycle workflows, reporting, and data pipelines for investment accounting and regulatory compliance.
Build and maintain scalable data pipelines and warehouses to power real-time analytics for global ecommerce brands, using tools like Snowflake, Kafka, Spark, and Airflow.
Design and build scalable AWS Data Lake and Lakehouse solutions using Glue, Lambda, Step Functions, and Kinesis to process large-scale cloud data pipelines.
Design and build scalable AWS data platforms, including data lakes and ETL/ELT pipelines using AWS Glue, Redshift, and Kinesis for batch and streaming workloads.
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