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Data Architect
2 months ago
Job responsibilities include
Also, they should have experience in the below
Spark Streaming/Batch
AWS/Azure/GCP
Databricks mandate
Java/Python/Scala
Microservices Architecture
Exposure to API Management
Technology Stack:
Spark Streaming/Batch
AWS/Azure/GCP (at least one)
Data bricks (Must have)
Java/Python/Scala (At least one)
Microservices Architecture (Good to have)
Exposure to API Management (Must-have)
Proficiency with Data Processing: Data bricks, Hadoop, Hive, Spark, Scala, Python, PySpark.
Architect experience in Data Migration Or Data Modernization Projects.
Architectural experience with Data bricks, AWS or Azure Or GCP and Big Data (Hadoop Cloudera Mapr Hortonworks).
Design low-latency, highly-performance data analytics applications
Extensive experience with messaging and stream processing on Kafka/Kinesis/EventHub
Experience on automated data pipelines to synchronize and process complex data streams
Strong experience working on Event Driven Architecture.
Strong knowledge on optimizing workloads developed using Spark/Glue/EMR/Data Factory
Experience in at least one popular programming language – python/Scala/Java
Strong analytic skills in working with structured, semi-structured, and unstructured datasets.
Expertise in at least one popular cloud provider, preferably AWS is a plus.
Good knowledge of any RDBMS/NoSQL database with strong SQL writing skills
Experience with Data warehouse tools like Snowflake and Redshift is a plus.
Experience with any one ETL tool is a plus
Good at ETL architecture. Business rules processing and data extraction from Data Lake into data streams for business consumption.
Experience in Deployment and migration of various workloads to Cloud services from traditional infrastructure or other Clouds.
Familiarity with the DevOps framework
Understanding of Software Development Lifecycle, source code management, code reviews, etc.
Strong analytical and problem-solving capability
Excellent verbal and written communication skills
Ability to collaborate effectively across global teams