AWS Data Architect

2 months ago

Hyderabad, India HuQuo Full time

Role Description: Data Engineer - Big Data The ideal candidate is a hands-on technology developer with experience in developing scalable applications and platforms. They must be at ease working in an agile environment with little supervision. The person should be a self-motivated person with a passion for problem solving and continuous learning. 


Role and Creating Project Technical Documentation 


- Designing Solution architecture, and work on Data Ingestion, Preparation and Transformation. Debugging the production failures and identifying the solution.


 - Developing efficient frameworks for development and testing using (AWS Dynamo DB, EKS, Kafka, Kinesis/Spark/Streaming/Python) to enable seamless data ingestion process on to the Hadoop platform.


 - Enabling Data Governance and Data Discovery on Hadoop Platform 


- Building data processing framework using Spark, HQL 


- Exposure of Security Framework with Kerberos, Ranger, Atlas 


- Exposure of Data Pipeline Automation using DevOps tools 


- Exposure of Job Monitoring framework along validations automation


 - Exposure of handling structured, Un Structured and Streaming data

Technical skills requirements

- The candidate must demonstrate proficiency in,

- Solid hands-on and Solution Architecting experience in Big-Data Technologies (AWS preferred)

- Hands on experience in: AWS Dynamo DB, EKS, Kafka, Kinesis, Glue PySpark, EMR PySpark

- Hands-on experience of programming language like Python, Scala with Spark.

- Good command and working experience on Hadoop/Map Reduce, HDFS, Hive, HBase, and No-SQL Databases

- Hands on working experience on any of the data engineering/analytics platform (Hortonworks/Cloudera/ MapR/ AWS), AWS preferred

- Hands-on experience on Data Ingestion Apache Nifi, Apache Airflow, Sqoop, and Oozie

(ref:hirist.tech)

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