About the Role
As a Senior Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure and pipelines. You will be responsible for building scalable and efficient data solutions that support our analytics, reporting, and machine learning initiatives. If you are passionate about data, possess strong technical skills, and thrive in a collaborative environment, we encourage you to apply.
- Develop and maintain robust, scalable, and efficient data pipelines using various data integration tools and technologies.
- Design, implement, and optimize data models in data warehouses and data lakes to support analytics and reporting needs.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business objectives.
- Ensure data quality, integrity, and security across all data platforms and processes.
- Monitor and troubleshoot data pipelines, identifying and resolving issues promptly.
- Implement best practices for data governance, metadata management, and data lifecycle management.
- Stay up-to-date with emerging data technologies and trends, evaluating and recommending new tools and approaches.
- Participate in code reviews, design discussions, and contribute to the overall architectural vision of data platforms.
Requirements & Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering, software development, or a related role.
- Strong proficiency in SQL and experience with relational and NoSQL databases.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., S3, EC2, Redshift, Snowflake, Databricks).
- Proficiency in Python or other programming languages for data manipulation and scripting.
- Familiarity with data warehousing concepts, ETL/ELT processes, and data modeling.
- Excellent communication, problem-solving, and collaboration skills.
- Ability to work independently and as part of a team in a fast-paced environment.
