Description

You design, build, and maintain scalable data pipelines and architectures for ingestion, transformation, and storage.

This role is on-site.

Responsibilities

• Design and develop data pipelines and ETL processes for data ingestion, transformation, and storage.
• Implement data models and architectures to ensure data quality and accessibility.
• Optimize data storage and retrieval processes to improve performance.
• Monitor and troubleshoot pipeline performance to ensure timely data delivery.
• Collaborate with teams to translate data requirements into technical specifications.

Required Skills

• 10+ years of experience in data engineering or a related field.
• Strong proficiency in Python, including Pandas and NumPy.
• Experience with ETL processes and data warehousing solutions.
• Proficiency in SQL and experience with relational databases.
• Familiarity with big data technologies like Hadoop or Spark.
• Experience with cloud platforms including AWS, Azure, or GCP.

Preferred Skills

• Bachelor's or Master's degree in Computer Science or related field.

Key Skills

Education

Any Graduate