What makes you a great fit:

• Industry experience in designing and implementing scalable solutions.
• Strong in object oriented programming concepts, DSA and programming.
• Familiarity using a programming language such as Python, Go, C/C++, Java. -> clean coding in these languages, code analysis tools.
• Strong in building CI/CD pipelines on cloud.
• Strong in RDBMS, NoSQL DB technologies like Posgresql, mongodb etc
• Experience in supporting applications post production like debugging, documentation, support.
• Building tools for automating engineering processes, data processing like SPARK.
• Taking ownership of an application as well as helping in allocating tasks to team members and unblock them from issues.
• Quick Learner and able to demonstrate POCs.
• Open to take new challenges and learn new tech-stacks and technologies.
• Hands-on experience using managed services from one or more of the major cloud vendors: AWS, GCP, Azure
• Experience with containerized platforms like docker and Kubernetes.
• Experience in designing, developing, testing, and deploying applications in the cloud.
• Experience with building orchestrations and workflow management tools such as Airflow, Prefect, Argo or Cloud native technologies like AWS Batch, Azure Data factory.
• Understanding existing code, prepare documentation and working on bug fixes and enhancements.
• Experience working with distributed processing architecture like spark etc.
• Experience in Agile and SaFe way of working.
• Experience in recruiting candidates.
• Experience in Data Engineering and Data Warehousing.
• Experience with building data pipelines on cloud.
• Experience working with Spark, Hadoop, Hive, or other Apache Foundation frameworks.
• Experience Autonomous Driving R&D applications would be added advantage.
• Experience in working on migration projects such as code migration, data migration etc.
• Experience working with spring boot framework
• Experience working on code builds such as Bazel.