Description

Key Skills: SCALA, AWS, Spark, Databrics ,Spark

Roles and Responsibilities:

• Design and implement data pipelines using AWS Databricks.
• Develop and optimize Spark applications for data processing.
• Utilize Scala for building robust data solutions.
• Collaborate with cross-functional teams to gather requirements and deliver solutions.
• Ensure data quality and integrity throughout the data lifecycle.

Skills Required:

• 7 - 12 years of relevant experience in data engineering.
• Strong experience as a Data Engineer.
• Proficiency in AWS services and Databricks.
• Expertise in Spark for big data processing.
• Hands-on experience with Scala programming.

Good to Have:

• Familiarity with additional AWS services.
• Experience with data warehousing solutions.
• Knowledge of data modeling techniques.

Education: Bachelor's or Master's degree in a relevant field

Key Skills

Education

Any Graduate