Bigdata Cloud Architect

1 week ago

Gurugram Haryana, India Impetus Technologies Full time

Experience in service architecture, development, and high performance and scalability.
- Experience in Spark, SQL performance tuning, and optimization.
- Good hands-on experience in AWS
- In-depth understanding of Spark & Hive Frameworks and their internal architecture
- Strong programming background with Java / Python.
- Practical exposure to end-to-end design and implementation process of Near-Real-Time and Batch Data Pipelines.
- Strong SQL (Hive/Spark) skills and experience tuning complex queries
- Excellent understanding of AWS storage, and it's compute services. Able to effectively use of AWS managed services - Step function, EMR, Lambda, Glue and Athena.
- Hands-on experience on Data Lake and ETL pipeline development
- Expertise on designing and building new Cloud Data platform and its optimization at organization level.
- Hands-on experience in Big Data technologies - Hadoop, Sqoop, Hive and Spark including DevOps.

Must Have:

- 12-14 years of big data technologies or data platform architecture experience with deep technology expertise in Hive, HDFS, Spark, Kafka, Java, or Scala,Python, Pyspark etc.
- Experience in service architecture, development, and high performance and scalability.
- Experience in Spark, SQL performance tuning, and optimization.
- Expertise in design and management of complex data structures and data processes like ETL/ELT.
- Expertise in managing and operating distributed big data systems, including but not limited to the Hadoop ecosystem.
- A deep understanding of issues in multiple areas such as data acquisition and processing, data management, distributed processing, and high availability is required.
- Knowledge of Teradata.
- Expertise on designing and building new Cloud Data platform and it’s optimization at organization level.
- Strong past experience on designing AWS data lake and surrounding ecosystem development.

Good to have
- Understanding of sage maker and ML algorithms
- Experience in migrating workloads from on-premise to cloud and cloud to cloud migrations
- Experience on AWS services like RDS, DynamoDB, Redshift
- Ability to drive the deployment of the customers’ workloads into AWS and provide guidance, cloud adoption model, service integrations, appropriate recommendations to overcome blockers and technical road-maps for AWS cloud implementations.
- Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technologies.
- Coach and mentor engineers to raise the technical ability of the rest of the team, and/or to become certified in required AWS technical certifications

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