Developing and testing automation frameworks, and other related tasks, in addition to contributing to core product code.
Deliver high-quality products and features, taking a holistic view from the initial idea to final delivery. This involves design, development, testing, and accountability for release deployments as well as providing support post-deployment.
Understand the product in its entirety and ensure the timely delivery of your assigned module within an agile team setting.
Accurately scope efforts, identify risks, and clearly communicate trade-offs with team members and other stakeholders.
Coordinate and participate in Continuous Integration activities,
Effectively communicate status updates, issues, and potential risks accurately and promptly.
Perform other tasks related to data governance and system infrastructure as required.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Basic Qualifications
Bachelor's degree in Computer Science or equivalent field, OR 3+ years of relevant work experience
Preferred Qualifications
Bachelor's degree in Computer Science or equivalent field with 6-24months relevant working experience in the industry
Proven experience in software development in Test, particularly in data-centric projects, demonstrating adherence to standard development best practices
Strong understanding and practical experience with data structures and algorithms, with a passion for tackling complex problems
Proficiency in Java programming
Hands-on experience with Big Data technologies such as Hadoop, Spark, and Hive
Strong knowledge of Unix/Linux operating systems and Shell Scripting
Proficiency in working with RDBMS, SQL and In-memory DB such as Redis
Familiarity with version control systems, specifically Git
Experience working within an Agile framework
Experience with Kafka, Mock data service a good to have
Experience with Load Runner is highly advantageous e
Familiarity with AI concepts and tools, including GitHub Copilot for code development
Exposure to AI/ML development is an added advantage
Proficiency in working with In-memory Databases like Redis
Strong verbal and written communication skills, with a proactive and self-motivated approach to improving existing processes to enable faster iterations.
Demonstrated intellectual and analytical rigor, with a keen attention to detail
Team-oriented, energetic, and collaborative approach to work, coupled with a diplomatic and adaptable style
