Description

Key Skills: SQL, Python, ETL, Data Warehousing, GCP, Data Pipeline, Apache Spark, Hadoop

Good to Have Skills: Understanding of star schema and Kimball or Snowflake methodologies, data visualization tools, data governance policies, data security standards, cloud cost optimization, data streaming initiatives, big data technologies, data architecture principles, pipeline orchestration and monitoring.

Roles & Responsibilities:

• Design, implement, and optimize data pipelines with a strong focus on scripting technologies.
• Develop and maintain ETL processes and contribute to data warehousing solutions in analytics environments.
• Write and optimize calculations within data visualization tools to enhance data models and performance.
• Enforce data governance policies and ensure compliance with data security standards across all projects.
• Build, deploy, and support data visualization solutions that effectively communicate data insights to stakeholders.
• Collaborate with stakeholders to understand their requirements and deliver intuitive, visually appealing dashboards.
• Participate in cloud cost optimization efforts, ensuring efficient use of cloud resources and budget management.
• Contribute to the development of data architecture and support data streaming initiatives across the organization.
• Implement basic data pipeline orchestration and assist in integrating big data technologies into existing systems.
• Communicate and collaborate with key internal stakeholders to align data solutions with business needs.

Experience Required: 3 years relevant or practical experience in data engineering or related field.

Education: Bachelor's Degree or relevant experience. Any relevant IT Certification preferred

Key Skills

Education

Any Graduate