Big Data Engineer

Streaming data Technical skills requirements :-

Experience- 5+ Years Solid hands-on and Solution Architecting experience in Big-Data Technologies (AWS Mandatory)

- 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 - 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.)

Mandatory Skills- AWS. Spark, Scala, Hadoop (Big Data)

Hands on experience in following-

- 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.