Data Engineer

What role you will play in team: Design and build data pipelines for machine learning model training.

What you will do: Develop and maintain data infrastructure for a large-scale machine learning platform.

Key responsibility:

• Design and develop data pipelines for ingesting, processing, and storing large datasets.
• Build and maintain data warehouses and data lakes.
• Ensure data quality and consistency.
• Develop and implement monitoring and alerting systems.
• Collaborate with data scientists and other engineers.

Required Qualification and Skills:

• Bachelor's degree in Computer Science or a related field.
• 3+ years of experience in data engineering.
• Proficiency in SQL, Python, and big data technologies (Spark, Hadoop).
• Experience with cloud-based data platforms (AWS, Azure, GCP).
• Strong problem-solving and communication skills.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for career advancement.
• A challenging and rewarding work environment.
• Access to cutting-edge technologies.

A Day in the Life: Typical day involves designing, implementing, and maintaining data pipelines and collaborating with other engineers and data scientists.