Data Engineer

Job Description

Strong knowledge of UNIX systems and shell scripting.
 

Proficiency in SQL for database management and manipulation.
 

Hands-on experience with SPARK for big data processing.
 

Methodologies: Understanding and application of Agile practices.
 

Communication: Excellent verbal and written communication skills, with the ability to collaborate effectively with team members and stakeholders."Candidates should possess an experience between 3 to 5 years in data engineering. Strong knowledge in UNIX, SQL, SPARK. Good to have skills are - PySpark and AWS. Good communication and should know the Agile practices.