Description

You design and maintain data infrastructure, pipelines, and Elastic Stack solutions to ensure data quality and system performance.

This role is on-site.

Responsibilities

• Design and develop data pipelines for extracting, transforming, and loading data across systems.
• Implement data validation and cleansing processes to maintain integrity and quality.
• Optimize and maintain data infrastructure to support data-driven initiatives.
• Troubleshoot data-related issues and resolve performance bottlenecks.
• Collaborate with cross-functional teams to design efficient data solutions.

Required Skills

• 5+ years of experience in data engineering roles.
• Proficiency with Elastic Stack (ELK).
• Strong understanding of data modeling and database design.
• Advanced SQL skills.
• Hands-on experience with ETL tools and frameworks.
• Familiarity with cloud platforms including AWS or Azure.
• Knowledge of distributed computing and big data technologies such as Hadoop and Spark.
• Experience with data warehousing and integration techniques.

Preferred Skills

• Experience with data visualization tools like Tableau or Power BI.

Key Skills

Education

Any Graduate