Senior Data Engineer
7 hours ago
We are seeking a highly skilled Senior Data Engineer to join our team at Bayforce. As a key member of our data engineering team, you will be responsible for designing, developing, and optimizing data workflows, handling complex data environments, and utilizing contemporary data platforms.
Key Responsibilities:- Design and implement efficient, scalable, and reliable data workflows using Databricks, PySpark, and SQL to handle large datasets.
- Lead efforts to set up, maintain, and optimize Airflow, providing the engineering team with guidance on best practices.
- Work closely with the environment manager to set up and maintain various environments (development, testing, and production) optimized for both performance and cost.
- Collaborate on the design and development of operational data systems, ensuring they meet the needs of performance, scalability, and availability.
- Constantly monitor and adjust data processes to optimize resource utilization and minimize delays in data handling.
- Develop and enforce best practices for coding, testing, documentation, and deployment within the data engineering team.
- 5+ years in data engineering, focusing on managing large-scale environments and building complex data workflows.
- Technical Proficiencies:
- Databricks: Extensive hands-on experience.
- Airflow: Strong expertise in job scheduling and automation with Airflow.
- Snowflake: Deep knowledge of Snowflake as a data warehousing tool.
- PySpark: Advanced proficiency in PySpark for distributed data operations.
- Python: Solid Python skills for scripting and building data workflows.
- SQL: Expert-level SQL for managing and querying data.
- Environment Management: Proven experience managing cloud-based environments.
- Operational Data Stores: Experience in creating and managing operational data systems.
- Bachelor's degree in Computer Science, Information Systems, or an equivalent field of study, or equivalent work experience.
- Cloud Platforms: Experience with AWS, Azure, or GCP.
- Serverless Technologies: Familiarity with designing and implementing serverless solutions.
- Data Lakes: Hands-on experience with Data Lake/Delta Lake.
- Event-Driven Pipelines: Experience in designing event-driven data workflows.
- CI/CD: Knowledge of continuous integration and deployment in a data engineering context.
- Big Data Tools: Experience with additional tools in the big data space is a plus.
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