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Leads cloud-native big data pipelines and GenAI model infrastructure at a global insurer, collaborating with AI/ML and analytics teams to build scalable solutions for risk management and business insights using Spark, Kubernetes, and AWS SageMaker.
Build and maintain scalable ELT pipelines and SQL-based data models in Snowflake using dbt to power Zendesk’s analytics and AI-enabled CX products.
QA Testing Specialist-Data Engineer validates enterprise data platforms on Databricks, ensuring ETL pipelines and large-scale datasets are accurate and production-ready using advanced SQL, Python, and PySpark.
QA Testing Specialist-Data Engineer validates enterprise data platforms on Databricks, ensuring ETL pipelines and large-scale datasets are accurate and production-ready for financial analytics.
Builds and operates analytics platforms, creating data pipelines, APIs, and dashboards with Angular/React and BI tools like Tableau/PowerBI.
Designs and maintains scalable data pipelines in Databricks, deploys ML models with MLflow, and builds Power BI dashboards to support analytics and reporting.
Build and optimize high-performance Spark data pipelines in Python, migrating legacy SQL ETL to Delta Lake and Airflow orchestration while ensuring privacy-preserving data collaboration.
Design and build scalable data pipelines in Databricks, migrating SAP data to the platform and optimizing analytics workflows using PySpark, Delta Lake, and cloud storage.
Designs and builds secure, scalable cloud data pipelines and platforms in Azure to power analytics and AI for a leading bank in Sandton.
Designs, builds, and optimizes Azure-based data pipelines and lakehouse architectures using ADF, Databricks, Synapse, and PySpark to deliver clean, reliable datasets for analytics and AI workloads.
Build and maintain secure, compliant big-data pipelines on AWS, using Python, PySpark, and Terraform to provision analytics-ready datasets for enterprise reporting and governance.
Designs and builds scalable data pipelines, ETL/ELT processes, and cloud-native data warehouses to support enterprise analytics and reporting using Azure, AWS, or GCP.
Designs and builds scalable Azure cloud data pipelines and lakes using Databricks, Azure Data Factory, PySpark and SQL to process batch and real-time data.
Build and maintain automated data pipelines and BI platforms for a large public-sector organization, using Python, SQL, and Tableau to support risk reporting and operational efficiency.
Leads a global team to implement healthcare data solutions for clients, focusing on ETL workflows, data mapping, and clinical data integration using Python, PySpark, AWS, Databricks, and Snowflake.
Selecty — аккредитованная IT-компания, оказывающая услуги в сфере IT-аутсорсинга. Работаем на рынке более 10 лет, с 2013 года успешно решая задачи любой сложности в рамках цифровой трансформации для крупного бизнеса.…
Hi Employers/ Bench Sales/ Job Seekers , This is Aarif, Technical Recruiter from Promantus. We have multiple exciting job opportunities open across technologies. Kindly review the job details below and share suitable…
Build and optimize ETL pipelines, design SQL-heavy analytics, or develop Python/Django/FastAPI backends for enterprise systems and data platforms.
Senior Data Engineer builds and maintains production-ready data pipelines using Microsoft Fabric, Python, and PySpark, mentoring peers and collaborating with stakeholders.
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