Cloud Data Architect
1 week ago
**Job Requirements
**Must:
- Industry experience in designing and implementing scalable solutions.
- Strong in object-oriented programming concepts, DSA and programming.
- **Strong background in Java is a must**
- Familiarity using a programming language such as Python, Go, C/C++ -> 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
- Building tools for automating engineering processes, data processing like SPARK.
- 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 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.
Good to have:
- 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 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.
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