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Senior DevOps Engineer designs and migrates cloud infrastructure to a highly available, scalable setup, implements CI/CD pipelines, and maintains monitoring and automation tools for cloud-native applications.
Build and optimize data pipelines, ETL workflows, and cloud infrastructure to support analytics and data scientists using AWS/GCP/Azure and tools like BigQuery and Elasticsearch.
Build and optimize data pipelines, ETL workflows, and cloud infrastructure (AWS) to feed analytics and data science teams, using Terraform and SQL.
Build and maintain data pipelines, ETL workflows, and warehouses to feed analytics and BI dashboards for an edtech platform.
Designs and implements ETL pipelines, builds data warehouses, and processes large datasets using SQL, Python, Java, Hadoop, Spark, and MongoDB for a life-insurance company.
Administers and secures cloud-native databases powering a next-gen market infrastructure for fund distribution, integrating with blockchain/DLT and ensuring data integrity, performance, and compliance.
Build and maintain scalable data pipelines and warehouses for an insurance marketplace, enabling analytics, BI, and AI use cases with Python, SQL, and Kafka.
Designs and maintains scalable data pipelines and APIs to feed analytics, BI, and AI systems using Python, SQL, Kafka, and Airflow.
Build and migrate cloud data warehouses using Snowflake, dbt, and Python; design ETL pipelines and validate data integrity for enterprise clients.
Eminevim is seeking a senior BI Developer to design, develop, and optimize data warehouse ETL processes and analytics solutions. You will work with SSIS/SSAS/SSRS, Power BI, and data modeling to deliver dashboards and…
Build and maintain high-performance data pipelines in Scala and Spark to process petabyte-scale datasets and deliver real-time analytics for enterprise clients.
Design and maintain scalable data pipelines and warehouses using Python, SQL, and Spark to move and model data for analytics and products.
Build and maintain cloud-based data pipelines using Microsoft Fabric, Azure, Python, and SQL to support analytics and reporting for a modern data platform.
Build and maintain data pipelines, models, and dashboards in Microsoft Fabric to migrate and modernize a data warehouse, turning raw data into actionable business insights.
Builds and maintains ETL pipelines, data models, and dashboards in Microsoft Fabric to migrate and modernize a company’s data warehouse and deliver business insights.
Leads a large-scale data migration and integration project for a financial services client, coordinating teams to consolidate data into a unified Enterprise Data Platform while ensuring compliance and quality.
Analyze customer data to reduce churn, segment users, and optimize loyalty programs using SQL, BigQuery, and BI tools for a Brussels-based client.
Designs and optimizes data warehouse solutions using Microsoft Fabric, builds ETL pipelines, and translates business needs into technical data solutions in an international setting.
Build and operate a cloud-native data platform on Snowflake and public cloud, owning provisioning, ingestion pipelines, transformations, governance, and cost-efficient scaling for analytics across the travel-tech company.
Build and maintain cloud-based data platforms and AI solutions, integrating heterogeneous data sources to enable advanced analytics, Generative AI, and machine-learning use cases for supply-chain and industrial clients.
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