Senior Engineer

Job Description

What You'll Do Collaborate with client facing teams to understand solution context and contribute in technical requirement gathering and analysis Design and implement technical features leveraging best practices for technology stack being used Work with technical architects on the team to validate design and implementation approach Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews Write unit tests as well as higher level tests to handle expected edge cases and errors gracefully, as well as happy paths Uses bug tracking, code review, version control and other tools to organize and deliver work Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies Consistently contribute in researching & evaluating latest technologies through rapid learning, conducting proof-of- concepts and creating prototype solutions What You'll Bring 2+ years of relevant hands-on experience CS foundation is must Strong command over distributed computing framework like Spark (preferred) or others. Strong analytical / problems solving Ability to quickly learn and become hands on new technology and be innovative in creating solutions Strong in at least one of the Programming languages - Python or Java, Scala, etc. and Programming basics - Data Structures Hands on experience in building modules for data management solutions such as data pipeline, orchestration, ingestion patterns (batch, real time) Experience in designing and implementation of solution on distributed computing and cloud services platform (but not limited to) - AWS, Azure, GCP Good understanding of RDBMS, with some exp on ETL is preferred Additional Skills: Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform AWS Solutions Architect certification with understanding of broader AWS stack Knowledge of data modeling and data warehouse concepts Willingness to travel to other global offices as needed to work with client or other internal project teams