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
Key Responsibilities:
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Team Management Lead and manage a team of technical professionals Data Engineer and Application Developers ensuring effective collaboration and productivity
Client Interaction Serve as the primary point of contact for clients understanding their needs and ensuring successful project delivery
Status Reporting Prepare and present detailed status reports on ongoing projects to stakeholders highlighting progress risks and mitigation plans
Issue Resolution Proactively identify and resolve any technical challenges or roadblocks faced by the team ensuring smooth project execution
Project Management Oversee the entire project lifecycle from planning to execution ensuring timely delivery within scope and budget
Technical Requirements:
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Pyspark Bigdata Spark Python Databricks AWS
Additional Responsibilities:
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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
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