Duration: 6 month
Location: Remote
Proficient with any of the mainstream programming languages such as Java, Python, Scala or Go
Proficient in modern software designs, such as microservices and event driven architectures.
Experience with building enterprise level data lakes and data warehouses by leveraging any of the major cloud providers (GCP, AWS or Azure)
Experience with architecting, implementing and maintaining software in the area of data intensive applications.
Experience with designing and implementing integration patterns of data from multiple data sources.
Experience with building batch and streaming systems, using solutions such as Hadoop, Spark, Kafka, Spark-Streaming or Flink
Experience of various persistence technologies (RDBMS or any NoSQL solutions such as Mongo DB, Cassandra, Neo4j), deep understanding and hands on experience with at least one of these is highly desirable.
Experience with security in industry standards like TLS, OAuth2.
Knowledge of modern CICD automation eco-systems: Azure DevOps and pipelines, Terraform, Azure Resource Manager, Kubernetes, GitHub, and configuration management tools such as Puppet, Chef, or Ansible
Skills:
1.)Proficient in multiple programming languages - JAVA, Python, Go, Scala, Proficient in software designs - microservices and event driven architecture, deep understanding of RDBMS or any NoSQL sol (Mango DB, Cassandra, etc)
- Java
- Spring Boot
- Scala
- Kotlin
- Akka
- Ruby
2.)Experience with building batch using sol. as Hadoop, Spark, Flink, knowledge of modern eco-system - azure devops, Kubemetes, tools such as Puppet
- Terraform
- Shell
- Spark (it should be Data Product team, but so far PF has owned the jobs for the native DPs)
- Parquet, JSON, Avro
- ADLS, ADF, Service Bus, AD Groups (provided by infra)
- Familiarity
- Some knowledge of security
- Familiarity with Kubernetes (AKS) - provided by infra
3.) Familiarity with no-SQL DBs: Azure Cosmos DB (no special knowledge needed. We just have a simple state store)
- Familiarity with Databricks (provided by infra)
- Python not much
- Kafka general understanding for streaming solution
Thanks & Regards
Kanika Jain - Technical Recruiter
Ph : +1(732)392-6106
Email : kanika.jain@maxeleven.com | w: www.maxeleven.com |
Max Eleven LLC
116 Village Blvd. Suite 200, Princeton, NJ 08540
E verify | SBE Set-Aside Program & MBE Certified
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