Senior Lead Software Engineer - Python, Pyspark & Databricks

Job Description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

• Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• Be accountable for decisions that influence teams resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Ensures successful collaboration across teams and stakeholders
• Identifies and mitigates issues to execute a book of work while escalating issues as necessary
• Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
• Creates a culture of diversity, equity, inclusion, and respect for team members and prioritizes diverse representation.

• Formal training or certification in software engineering concepts with 5+ years of applied experience.
• Hands-on experience in system design, application development, testing, and operational stability.
• Proven experience leading teams of technologists and managing global stakeholders.
• Proficiency in cloud-native application development, particularly with Python and PySpark.
• Advanced skills in one or more programming languages.
• Experience in data integration and handling large data volumes for reporting models.
• Proficiency with data platforms like Databricks/Snowflake and both SQL and NoSQL databases, including complex SQL query development.
• In-depth knowledge of software applications and technical processes, with expertise in areas like cloud, AI, machine learning, or mobile.
• Expertise in agile projects and automated testing/dev ops environments.
• Familiarity with big data technologies such as Apache Spark or PySpark.
• Experience with containerization technologies like Docker and Kubernetes (EKS), and ability to guide teams toward strategic goals.

• Experience in financial / banking domain