Aws Data Engineer
2 weeks ago
Job Location:- Hyderabad & Noida
Experience Required: 5 to 8 Years
Mandatory Skills (Hands on experience required)- Spark, Scala, Big Data (Hadoop), AWS, SQL
Shift- UK Shift
Streaming data Technical skills requirements :-
Experience- 5+ Years Solid hands-on and Solution Architecting experience in Big-Data Technologies (AWS preferred)
- Hands on experience in: AWS Dynamo DB, EKS, Kafka, Kinesis, Glue, EMR- Hands-on experience of programming language like Scala with Spark.- Good command and working experience on Hadoop Map Reduce, HDFS, Hive, HBase, and/or 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 - Hands on working experience of data processing at scale with event driven systems, message queues (Kafka Flink Spark Streaming)
Hands-on development experience on above technologies
Data Warehouse exposure on Apache Nifi, Apache Airflow, Kylo - Operationalization of ML models on AWS (e.g. deployment, scheduling, model monitoring etc.)
Feature Engineering Data Processing to be used for Model development- Experience gathering and processing raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.)
Experience building data pipelines for structured unstructured, real-time batch, events synchronous asynchronous using MQ, Kafka, Steam processing
Hands-on working experience in analysing source system data and data flows, working with structured and unstructured data
Must be very strong in writing SQL queries.
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