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Junior Data Engineer
Build and maintain data pipelines, data lakes, and models to support business decision-making using Python, Spark, Kafka, and cloud platforms like AWS/Azure.
AI DATA ENGINEER
Build and optimize large-scale data pipelines with Apache Spark and Azure, then apply ML models for forecasting and anomaly detection in enterprise domains.
AWS Data Engineer
Designs and builds AWS-based data pipelines, migrates on-prem workloads to cloud, and sets up monitoring and CI/CD for scalable data platforms.
Cloud Data Engineer
Design and build cloud-based data pipelines, warehouses, and analytics solutions for clients using AWS, GCP, Azure, Databricks, and Snowflake.
Senior Data Engineer
Senior Data Engineer builds and scales a Lakehouse-based data platform with Redshift, dbt, Airflow, and streaming pipelines to power analytics and ML at a fintech company.
Data Engineer M/F
Build and optimize data pipelines using Spark, Scala, Python, and AWS to enable analytics and ML workflows for clients.
Big Data Engineer
Builds and maintains scalable big-data pipelines and storage layers using Spark, Kafka, and NoSQL databases to support analytics and ML workloads for an insurtech and IoT-focused company.
Data Engineer - Lione
Design and maintain scalable data pipelines and storage systems to support AI-driven analytics and operations, using Python, SQL, and cloud platforms like AWS/Azure/GCP.
DATA ENGINEER
Builds and maintains data pipelines using Python/Scala and Spark on AWS/GCP/Azure for a consulting firm.
Azure Data Engineer
Designs and builds cloud-native data pipelines on Azure, integrating data for analytics and ML models using Spark, Databricks, and Azure Synapse.
Data Engineer
Build and maintain scalable data pipelines using Scala, Spark, and Kafka to process real-time and batch data for an AI-focused product company.
Azure Data Engineer
Designs and builds Azure-based data pipelines, ETL/ELT workflows, and data lakes to feed analytics and ML models, collaborating with architects and analysts.
Hybrid Data Engineer: Spark, Python & Data Pipelines
Designs and maintains large-scale data pipelines using Python/Scala, Spark, and cloud tools in a hybrid role.
Data Engineer
Designs and builds cloud-based data pipelines, Datalake/Lakehouse systems, and ETL/ELT workflows for clients in finance, insurance, and energy.
Data Engineer
Design, build, and maintain data pipelines and models to support analytics and business decisions using Java/Scala/Python and cloud platforms.
Data Engineer
Designs and manages end-to-end data pipelines in on-prem and cloud environments, builds a new Data Platform, and creates data marts and dashboards for business analytics.
Data Engineer
Build and optimize distributed Big Data pipelines and ETL workflows using Java, Apache Spark, Kafka, and Cloudera for financial-sector clients.
Data Engineer
Design and build BI systems for public-sector data, including ETL pipelines, SQL databases, and Metabase dashboards to drive decision-making.
Data Engineer
Designs and maintains ETL pipelines, data warehouses, and data models using Python, SQL/NoSQL, and Qlik/Qlik-Sense to process and deliver business data efficiently.
Data Engineer
Designs and maintains scalable data pipelines and cloud infrastructure for clients in telecom, media, finance, automotive, and consumer sectors using Python, Spark, Kafka, and cloud platforms.