Senior Data Engineer/ Junior Data Engineer

About this kind of role

What a Senior Data Engineer/ Junior Data Engineer usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines to transform and load data from various sources into data warehouses or data lakes. They develop and implement efficient data storage and processing systems, ensuring data quality and reliability. Senior Data Engineers often mentor junior engineers and contribute to architectural decisions, while Junior Data Engineers focus on implementing established pipelines and learning best practices. This role involves collaborating with data scientists, analysts, and other stakeholders to meet data-related needs.

Tools and skills: Proficiency in SQL, Python or Java, cloud platforms like AWS, Azure, or Google Cloud, and experience with ETL tools, data warehousing solutions (e.g., Snowflake, Redshift), and big data technologies (e.g., Spark, Hadoop) is generally expected.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work both independently and collaboratively are typically successful in this role.