AWS Data Architect
1 week ago
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
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