Pyspark developer

Pyspark Expertise
• Expert proficiency in Pyspark
• Ability to design and implement efficient data processing workflows
• Experience with Pyspark SQL and DataFrames
• Good exposure to Big Data architectures and good understanding of Big Data eco system
• Experience with some framework building experience on Hadoop
• Good with DB knowledge with SQL tuning experience.
• Good to have experience with Python, APIs and exposure to Kafka.

Technical Requirements: Pyspark, Bigdata, Spark, Python, Databricks, AWS

Additional Responsibilities: • Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability
• Good knowledge on software configuration management systems
• Awareness of latest technologies and Industry trends
• Logical thinking and problem solving skills along with an ability to collaborate
• Understanding of the financial processes for various types of projects and the various pricing models available
• Ability to assess the current processes, identify improvement areas and suggest the technology solutions
• One or two industry domain knowledge
• Client Interfacing skills
• Project and Team management