Data Engineer - Python/SQL/ETL
Volto consulting
Role Overview : We are looking for an experienced Data Engineer to design, develop, and maintain scalable data platforms and enterprise data pipelines in cloud environments.Key Responsibilities : - Design and develop scalable ETL/ELT data pipelines.- Build and optimize data solutions using Python, SQL, Spark, and Databricks.- Develop data workflows using Azure Data Factory, Azure Synapse, and Databricks.- Integrate data from multiple enterprise applications and operational systems.- Implement data models, data quality, governance, and metadata management.- Work with both batch and near real-time data processing architectures.- Optimize data pipelines for performance, reliability, and scalability.- Collaborate with data scientists, analysts, application teams, and business stakeholders.Required Skills : - 5+ years of experience in Data Engineering and large-scale data platforms.- Strong hands-on experience with Python, SQL, Spark, and Databricks.- Strong knowledge of ETL/ELT and distributed data processing.- Experience with Azure Data Factory, Synapse, or equivalent cloud data services.- Good understanding of data modeling, data governance, data quality, and metadata.- Experience working with cloud data platforms and data storage ecosystems.- Knowledge of batch and real-time data architectures.- Exposure to GitHub/Git-based version control and CI/CD is preferred.Preferred : - Experience with Azure Kubernetes Service (AKS).- Experience integrating AI/ML workloads with enterprise data platforms.- Strong problem-solving and communication skills. (ref:hirist.tech)
Vacancy posted 1 day ago
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