Description:

BlackStone eIT is seeking a Senior Data Engineer to join their innovative team.
The role involves the design, development, and optimization of data infrastructure.
The Senior Data Engineer will support data analytics initiatives by ensuring robust and scalable data pipelines.
The ideal candidate should be an exceptional data engineer and a problem-solver with the ability to analyze complex data sets and translate findings into actionable insights.
A strong background in database systems, data modeling, and ETL processes is required.
Key responsibilities include designing, implementing, and maintaining scalable data architectures and pipelines, developing ETL processes, collaborating with data scientists and analysts, optimizing database performance, conducting data quality checks, mentoring junior data engineers, and staying current with emerging technologies.

Requirements:

A Bachelor’s degree in Computer Science, Engineering, or a related field is required.
The candidate must have 5+ years of experience in data engineering or a similar role.
Proficiency in SQL and experience with relational databases is necessary.
Hands-on experience with data pipeline tools and ETL processes is required.
Familiarity with big data technologies such as Hadoop and Spark is a plus.
Strong analytical and problem-solving skills are essential.
Excellent communication and teamwork abilities are required.
Experience with cloud-based data solutions is an advantage.