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Lead a data engineering team to design, build, and maintain scalable ETL/ELT pipelines and data warehouses for a top Indonesian bank.
Senior Software Engineer in Data building data infrastructure and products at an Indonesian fintech, collaborating with international and local teams. Core stack centers on Java, Python, or Node.js with a preference for GCP/AWS, Apache Beam, DBT, Airflow, and big data warehousing tools.
An internship assisting senior engineers in executing small-to-medium data engineering projects, contributing to APIs, scripts, and bug fixes while learning fintech-focused data platforms (BigQuery, Airflow) and DevOps tools (Kubernetes, Terraform) on Google Cloud.
Lead the design and development of mission-critical, full-stack applications in a Python-based ML/Ops environment, integrating machine learning models into production systems while collaborating with cross-functional teams.
Business Data Analyst focused on implementing data governance frameworks, managing critical data elements, and ensuring data quality for financial and regulatory data in a banking context, using SQL for data reconciliation and analysis.
Design and own the analytics layer and data governance for a FinTech company, using dbt, SQL, and cloud data warehousing to translate business challenges into actionable metrics.
On-site SQL Data Engineer & ETL Developer designing and implementing end-to-end data pipelines using Microsoft SQL, SSIS, and SSRS for large-scale projects in Cape Town.
Builds and maintains the company’s data warehouse, pipelines, and BI systems to extract insights for e-commerce decision-making, using BigQuery, Looker, and cloud infrastructure.
Build and maintain a Python-based regulatory reporting platform that automates SARB returns using AWS, ETL pipelines, and data warehousing to replace manual spreadsheets.
Senior Data Engineer leads data platform architecture, builds scalable pipelines, and ensures high-quality data for Ozow’s fintech payment solutions, collaborating cross-functionally to drive analytics and automation.
Data Engineer at Nedbank building and maintaining data pipelines, data warehouses, and data infrastructure using Azure cloud services, SQL, Python, and big data technologies like Hadoop and Kafka.
Finance Database Engineer building and maintaining scalable data pipelines, SQL data models, and Power BI dashboards on Microsoft Azure and Microsoft Fabric to support financial reporting and operations.
Maintains product data integrity in cannabis retail systems (e.g., MJ Freeway) by managing master data, ensuring compliance, and collaborating with cross-functional teams to optimize workflows and support store operations.
Direct hire. Seeking Data Analyst. Must be US Citizen and/or Greencard holder in order to attain low level clearance. Position is currently hybrid with two days on-site in Washington, DC L'enfrant Plaza area. Pay range…
Hands-on Data Architect/BI Consultant designing and optimising cloud-based data warehouse and pipeline solutions across the Azure stack, guiding BI Developers on a hybrid basis in London.
Location St. Louis, MO 63110

 Scheduled Hours 40 Position Summary Manages resident/fellowship/student program(s) objectives and provides supervision and oversight of program(s) support staff. Develops…
As an Executive Assistant and Office Manager, you will provide high-level support to assigned executives while overseeing the daily operations of the New York City office. The ideal candidate is a versatile, highly…
Data Engineer building scalable data pipelines, ETL/ELT processes, and cloud-based data architectures (Data Warehouse, Data Lake, Lakehouse) on AWS using SQL, Python/Scala, Spark, Airflow/dbt.
Senior Developer in Data Engineering role focusing on data stack modernization, migrating from traditional ETL tools to cloud-native ELT stack using AWS, Python, Airflow, DBT, and Snowflake. Responsible for data modeling, data quality, and building scalable data pipelines.
Senior Data Engineer builds scalable pipelines and systems to productionalize predictive models for Carvana’s automotive retail platform, using Python, Docker/Kubernetes, and cloud services.
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