Elastic Stack

Roles & Responsibility

Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work-related problems.
- Design and develop data pipelines to extract, transform, and load data across systems.
- Ensure data quality and integrity by implementing data validation and cleansing processes.
- Collaborate with cross-functional teams to understand data requirements and design efficient data solutions.
- Optimize and maintain data infrastructure to support data-driven initiatives.
- Troubleshoot and resolve data-related issues and performance bottlenecks.
- Stay updated with the latest industry trends and technologies in data engineering.
- Implement best practices for data security and privacy.

Requirements

 Must To Have Skills: Proficiency in Elastic Stack (ELK).
- Strong understanding of data engineering concepts and principles.
- Experience with data modeling, database design, and SQL.
- Hands-on experience with ETL tools and frameworks.
- Familiarity with cloud platforms and services, such as AWS or Azure.
- Knowledge of distributed computing and big data technologies, such as Hadoop and Spark.
- Experience with data warehousing and data integration techniques.
- Good To Have Skills: Experience with data visualization tools, such as Tableau or Power B