Senior Data Engineer

Elios Talent is an award-winning company recognized for exceptional employee satisfaction and professional development. They are seeking a Senior Data Engineer to design and implement scalable data pipelines and optimize workflows within Azure ecosystems.

Responsibilities:

• Design and implement scalable, efficient data pipelines using Azure Data Lake, Databricks, Snowflake, and Synapse Analytics
• Develop and optimize workflows with Apache Spark and Scala for batch and streaming data processing
• Build, maintain, and enhance robust ETL/ELT pipelines tailored to big data applications within Azure ecosystems
• Manage and optimize data storage solutions like Azure Data Lake Storage, Snowflake, and Synapse Analytics to ensure peak performance and cost-efficiency
• Partner with data scientists, analysts, and business teams to ensure the reliability and availability of data platforms
• Monitor and fine-tune the performance of data platforms in production environments
• Enforce best practices for data governance, security, and compliance in Azure-based data frameworks
• Stay ahead of the curve by researching and integrating new big data technologies to enhance scalability and performance

Requirements:

• A minimum of 5 years of experience in data engineering or related fields
• At least 3 years of hands-on expertise in Apache Spark using Scala
• Advanced knowledge of Azure data services, including Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory
• Proficiency with Snowflake, including schema design, performance optimization, and integration with cloud platforms
• Solid expertise in cloud-based big data solutions, particularly within the Azure ecosystem
• Strong knowledge of data modeling, ETL/ELT pipelines, and database concepts
• Experience with streaming platforms such as Spark Streaming, Kafka, or Event Hubs
• Familiarity with data lake and data warehouse architecture (e.g., Delta Lake, Snowflake, Synapse)
• Proficiency in DevOps practices, including CI/CD pipelines for data engineering workflows
• Knowledge of Python for data engineering tasks
• Experience with Azure Machine Learning or other machine learning platforms integrated with data workflows