Should have a minimum 2+ years in Data Engineering, Data Analytics platform. Should have strong hands-on design and engineering background in AWS, across a wide range ofAWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally andtechnical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation, andloa
Should have a minimum 2+ years in Data Engineering, Data Analytics platform. Should have strong hands-on design and engineering background in AWS, across a wide range ofAWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally andtechnical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation, andloa
Collaborate with Product teams ensuring that raw data is cleansed and transformedand useable by downstream consumers (ML Engineers, BI analytics) Expect level PL-SQL Assist and advise on the re-development and modernisation of end-to-end ETLpipelines and introduce new technologies where appropriate in a real-time streamingenvironment dealing with very large data volumes Working with AWS cloud infrastructure (specifically SQS, SNS, Redshift,OpenSearch,
Collaborate with Product teams ensuring that raw data is cleansed and transformedand useable by downstream consumers (ML Engineers, BI analytics) Expect level PL-SQL Assist and advise on the re-development and modernisation of end-to-end ETLpipelines and introduce new technologies where appropriate in a real-time streamingenvironment dealing with very large data volumes Working with AWS cloud infrastructure (specifically SQS, SNS, Redshift,OpenSearch,
Gather and process raw data at scale. Defining data retention policies. Work closely with our data science team (ad hoc analysis of the data). Acquire data from primary or secondary sources and maintain databases/systems. Create data sets and tables to store data. Work on data Analysis, modeling and architecture.Make and test database schema changes when needed. Identify user needs to create and administer the data lake. Ingest and move data between databa
Gather and process raw data at scale. Defining data retention policies. Work closely with our data science team (ad hoc analysis of the data). Acquire data from primary or secondary sources and maintain databases/systems. Create data sets and tables to store data. Work on data Analysis, modeling and architecture.Make and test database schema changes when needed. Identify user needs to create and administer the data lake. Ingest and move data between databa
Hiring for MNC Data Analyst Noida Job Qualifications: Experience Aplenty: 5+ years of hands-on experience in applicable software development environments, showcasing your prowess and ability to excel. Educational Symphony: A Bachelor's degree is strongly preferred, demonstrating your commitment to continuous learning and growth. Tech Savvy: Should have demonstrated experience in Cloud environments like AWS, GCP, or Azure. Comparable knowledge of tools
Hiring for MNC Data Analyst Noida Job Qualifications: Experience Aplenty: 5+ years of hands-on experience in applicable software development environments, showcasing your prowess and ability to excel. Educational Symphony: A Bachelor's degree is strongly preferred, demonstrating your commitment to continuous learning and growth. Tech Savvy: Should have demonstrated experience in Cloud environments like AWS, GCP, or Azure. Comparable knowledge of tools