Senior Data Engineer
Apply NowCompany: Elios
Location: Houston, TX 77084
Description:
Senior Data Engineer - (100% Remote)
Key Responsibilities:
Requirements:
Essential Skills and Experience:
Preferred Skills:
- Fully Remote: Work from anywhere with flexible hours that fit your lifestyle.
- Award-Winning Culture: Be part of a company recognized for exceptional employee satisfaction, inclusivity, and professional development.
- Competitive Compensation: Generous salary, performance bonuses, and comprehensive benefits package.
- Professional Growth: Access to mentorship programs, certifications, and opportunities to advance your career.
- Cutting-Edge Tech: Work with state-of-the-art tools and technologies on impactful, high-visibility projects.
Key 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:
Essential Skills and Experience:
- 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.
Preferred Skills:
- Knowledge of Python for data engineering tasks.
- Experience with Azure Machine Learning or other machine learning platforms integrated with data workflows.