Data Engineer

Responsibilities

• Design, develop and validate various Data Warehousing & Data Analysis solutions.
• Work with business users to establish requirements to achieve business objectives through Data.
• Decompose the business requirements into one or more reusable DW/ETL products.
• Translate business requirements into Data/ETL Solutions.
• Perform tasks and duties related to ad hoc analysis, design and processing.
• Ensure effective communication of user requirements.

Required Skills

• Understanding of Big Data Ecosystems is an advantage.
• Working knowledge of Java / Python & REST API.
• Understanding of Snowflake, Google Cloud Platform, or MS Azure would help.
• Should possess excellent communication and presentation skills and be able to explain complete data transformation and model mapping process.
• Understand of Graph Databases.
• Willingness to learn new data lake technologies and hand on implementation.
• Proven ability to take initiative and be innovative.
• Effective time management skills.

Required Experience

• Minimum of 2-3 years experience with Data Warehousing tools and technologies (e.g. MySQL or similar database, Pentaho ETL, Java ETL or any other similar ETL tools).
• Experience in working with Java would be a plus.
• Experience in writing complex SQL statements to validate data and ETL code based on the data mapping & requirements and perform extensive data analysis to identify the defects.

Education Requirements

• Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.