Job
Description
As a Senior Software Engineer, you would: Application Development & Maintenance: Be responsible for the development and maintenance of applications with technologies involving Enterprise Python and Distributed technologies. Technical Leadership & Collaboration: Lead the team for technical discussions and reviews. Collaborate with developers, product manager, business analysts, and business users in conceptualizing, estimating, and developing new software applications and enhancements. Documentation & Specification: Assist in the development and documentation of software's objectives, deliverables, and specifications in collaboration with internal users and departments. Quality Assurance Collaboration: Collaborate with the QA team to define test cases, metrics, and resolve questions about test results. Design & Innovation: Assist in the design and implementation process for new products, research, and create Proof of Concepts (POCs) for possible solutions. Component Development: Develop components based on business and/or application requirements. Unit Testing: Create unit tests in accordance with team policies & procedures. Mentorship & Support: Advise and mentor team members in specialized technical areas, as well as fulfill administrative duties as defined by support processes. Optimization Focus: Focus on Cost Optimizations, Scalability, Reliability, and Secure solutions for all owned features. Qualifications Required Skills & Experience Education: Bachelor's degree or equivalent in Computer Science. Experience: 9+ years of experience in a combination of the following technologies: Python (Enterprise Python) Big Data DevOps Spark Kafka SQL Angular Cloud (AWS or GCP) Microservices Architecture & APIs: Can develop SOA services and has good knowledge of REST API and Microservice architectures. Solid knowledge of web architectural and design patterns. Performance & Cost Optimization: Strong working experience on performance optimizations and a focus on Cost Optimization and Scalability. Software Security: Understands software security practices including user authentication and authorization, data validation, and an understanding of common DOS and SQL injection techniques. Development Tools: Familiar with profiling, code coverage, logging, common IDEs, and other development tools. Scripting Languages: JavaScript, Linux, and Python. Methodologies: Familiar with Agile Methodologies - SCRUM. Communication: Strong communication skills (verbal and written). Work Management: Ability to work within tight deadlines and effectively prioritize and execute tasks in a high-pressure environment. Cross-functional Interface: Demonstrated verbal and written communication skills, and ability to interface with Business, Analytics, and IT organizations. Team & Adaptability: Ability to work effectively in a short-cycle, team-oriented environment, managing multiple priorities and tasks. Problem Solving: Ability to identify non-obvious solutions to complex problems. Preferred Knowledge/Experience Big Data Ecosystems: Hadoop, Spark, Kafka, Databricks. Containerization: Docker and Kubernetes. Analytics: Streaming and Batch Analytics processes. Tools: Eclipse, Maven, Gradle, DB tools, Bitbucket/JIRA/Confluence. JavaScript UI Frameworks: Desirable knowledge of JavaScript UI frameworks (backbone, angular, react, etc.). Nice to Have Qualifications Technical: Certifications: BigData/Python/Spark/Cloud Certifications. SQL & Data Analysis: Strong technical knowledge of SQL and data analysis with relational database modeling principles and techniques. Cloud Data Technologies: Working knowledge of Data Technologies in the Cloud such as AWS services of compute, storage, messaging, RDS/Redshift, or Snowflake. Advanced SQL: Strong skills in writing SQL queries (Oracle/SQL Server/Warehouse/NoSQL) and experience in Databricks. UNIX/Linux: Basic UNIX/Linux knowledge/exposure is a plus but not required. Data Warehousing: Knowledge of data warehousing concepts. ETL/ELT Tooling: Proven expertise in ETL/ELT tooling such as Pentaho, Integration Services, Informatica, Data Pipeline, Glue. Non-Technical: Functional Knowledge: Functional knowledge of CRM, Marketing, Loyalty. Problem Solving: Excellent Analytical and problem-solving skills. Troubleshooting: Ability to diagnose and troubleshoot problems quickly. Time Management: Strong time management skills with accountability. Ownership: Ability to take full ownership of tasks and projects. Behavioral Attributes Team Player: Excellent interpersonal collaboration skills. Communication: Strong verbal and written communication. Attitude: Possess a Can-Do attitude to overcome challenges with high energy levels. Motivation: Self-motivated, directed, and passionate
