Description

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

This role is on-site.

Responsibilities

• Design and develop scalable data pipelines and architectures.
• Clean and optimize data systems for organizational decision-making.
• Maintain data architectures that support key business processes.
• Collaborate with data scientists, analysts, and business stakeholders to optimize data systems.

Required Skills

• 6-7 years of experience in data engineering roles.
• Proficiency with AWS services including AWS Glue, Amazon Redshift, Amazon S3, and Amazon Kinesis.
• Strong programming skills in Python, SQL, or Java.
• 2-3 years of experience with data modeling, ETL processes, and data warehousing.
• Experience working with Snowflake.
• Knowledge of cloud computing concepts and data security best practices.
• Ability to work with any graduate level education background.

Preferred Skills

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

Key Skills

Education

Any Graduate