Description

You will design, develop, and maintain scalable data pipelines and architectures to support data-driven decision-making.

Responsibilities

• Design and develop scalable data pipelines and architectures.
• Maintain data systems to support critical business processes.
• Implement ETL processes and data warehousing solutions.
• Collaborate with data scientists, analysts, and stakeholders to optimize data systems.

Required Skills

• 6+ years of experience in data engineering.
• Proficiency in Python, SQL, or Java.
• Experience with AWS services including Amazon Redshift, Amazon S3, AWS Glue, and Amazon Kinesis.
• 2-3 years of experience with data modeling and ETL processes.
• Hands-on experience with Snowflake and data warehousing concepts.
• Practical knowledge of cloud computing and data security best practices.
• Strong analytical and problem-solving capabilities.

Preferred Skills

• Experience with big data technologies such as Apache Spark or Apache Kafka.
• Familiarity with data visualization tools like Tableau or Power BI.
• Understanding of DevOps practices and CI/CD pipelines.

Key Skills

Education

Any Graduate