data analyst

2 weeks ago

Greater Noida, Uttar Pradesh, India Coforge Full time

Job Description

Job description Role and responsibilities : - 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) 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 : - 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 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.) - 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

Posted On Job description Role and responsibilities : - 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) 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 : - 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 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.) - 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 Skills Required

AWS EMR

Posted On AWS EMR Role

y

Posted On

y

Location

Greater Noida

Posted On Greater Noida

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