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Big Data Engineer
3 weeks ago
Hiring For Big Data Engineer (Spark, Scala, AWS)
Job description :
- Spark, SCALA, AWS OR Spark, python with AWS lambda exposure.
- Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements.
- Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization.
- Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too.
- Solid hands-on and Solution Architecting experience in Big-Data Technologies (AWS)
- 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 FlinkSpark Streaming)
- Hands on working Experience with AWS Services like EMR, Kinesis, S3, CloudFormation, Glue, API Gateway, Lake Foundation
Technical skills requirements :
- Hands on working Experience with AWS Athena
- 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
- Strengthen the Data engineering team with Big Data solutions
- Strong technical, analytical, and problem-solving skills
- Strong organizational skills, with the ability to work autonomously as well as in a team-based environment - Pleasant Personality, Strong Communication & Interpersonal Skills.
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