Data Engineer

at  Sebratec

Sebratec exists to help industries solve technology-based tasks and accomplish complex projects. We offer real intelligence in the form of highly skilled engineers and developers to make projects come alive and thrive. If you share our passion for great technology, then we’d love to get to know you.

TECHNICAL REQUIREMENTS

To succeed in this role, you should have:

• Proven experience in data engineering and data analysis.
• Proficiency in Python and SQL.
• Experience with ETL tools and data pipeline frameworks.
• Strong knowledge of database systems (e.g., MySQL, PostgreSQL, MongoDB).
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Experience with cloud data platforms (e.g., AWS Redshift, Google BigQuery).
• Understanding of data warehousing and data modeling concepts.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

YOUR ROLE

As a Data Engineer at Sebratec, you will:

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Utilize Python and SQL to process, clean, and analyze large datasets.
• Collaborate with data scientists and analysts to deliver actionable insights.
• Optimize and maintain database systems and data storage solutions.
• Implement data quality and validation checks to ensure data integrity.
• Stay current with industry trends and incorporate best practices in data engineering.

To succeed in this role, you should have:

• Proven experience in data engineering and data analysis.
• Proficiency in Python and SQL.
• Experience with ETL tools and data pipeline frameworks.
• Strong knowledge of database systems (e.g., MySQL, PostgreSQL, MongoDB).
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Experience with cloud data platforms (e.g., AWS Redshift, Google BigQuery).
• Understanding of data warehousing and data modeling concepts.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills