Pyspark developer

Responsibilities :

Team Management: Lead and manage a team of technical professionals â€' 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.

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

Technical and Professional Requirements:

Pyspark, Bigdata, Spark, Python, Databricks, AWS