Data & AI Solution Architect
Hexaware Technologies
Boston, MA, United States
about 2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Data Analysis
Microsoft Azure
Big Data
Distributed Systems
Oracle Exadata
Apache Hadoop
Hadoop Distributed File System
Apache Hive
Apache Yarn
Snowflake
Apache Spark
Data Lakes
+3 more
Spark Streaming
Data Management
Databricks
Requirements
- Big Data Architect (Spark):
- Extensive experience with Apache Spark for big data processing and analytics.
- Proficiency in Spark Core, Spark SQL, Spark Streaming, and MLlib.
- Knowledge of distributed computing systems and frameworks.
- Familiarity with Hadoop ecosystem components such as HDFS, Hive, and YARN.
- Expertise in optimizing Spark jobs for performance and scalability.
- Designing and implementing data platforms on Azure Could using Snowflake and Databricks
- Five years of prior experience in modernizing and migrating legacy data platforms to cloud is a must have experience.
- Hands-on experience with Exadata is plus, * 10 - 15 years of experience in designing and implementing highly scalable data lakes, Lakehouse s.
- At least 5 years of experience financial domain
- 3-5 years of experience with SEI Wealth Management is must have experience.
- 5 plus years of experience in creating data models.
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