We are seeking a highly skilled and experienced Python/PySpark Lead to drive the design, development, and delivery of large-scale data engineering solutions. The ideal candidate should possess strong technical expertise in Python and PySpark, coupled with proven leadership capabilities to manage project deliverables, mentor development teams, and engage effectively with business and technology stakeholders
Responsibilities
Lead the end-to-end delivery of Python/PySpark-based solutions, ensuring adherence to project timelines and quality standards.
Provide technical leadership and guidance to development teams across design, development, testing, and deployment phases.
Collaborate with business stakeholders, project managers, and technical teams to understand requirements and translate them into scalable solutions.
Drive stakeholder communication by providing regular project updates, highlighting risks, dependencies, and mitigation plans.
Perform hands-on development and code reviews to ensure adherence to coding standards, best practices, and performance optimization techniques.
Foster collaboration, accountability, and a high-performance culture within the team.
Support estimation, planning, resource coordination, and delivery governance activities.
Ensure production stability, resiliency, and continuous improvement of data processing frameworks.
Qualifications
10+ years of overall IT experience with strong expertise in Python and PySpark.
Extensive experience in designing and developing scalable data processing and data transformation solutions.
Strong knowledge of Spark architecture, distributed computing, performance tuning, and optimization.
Experience working with Hadoop ecosystem components, Hive, SQL, and large-scale data platforms.
Strong understanding of software engineering principles, design patterns, and Agile delivery methodologies.
Excellent problem-solving, debugging, and analytical skills.
Proven experience in leading technical teams and driving project execution.
Excellent verbal and written communication skills with demonstrated stakeholder management experience.
Preferred Qualifications
Experience in Banking and Financial Markets domain is an added advantage.
Exposure to cloud-based data platforms such as Databricks, AWS, or Azure is desirable.
Experience in mentoring and developing high-performing engineering teams.
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