7 Permanent Information technology found

Job Title Data Engineer Job Family SummaryAs a Data Engineer, you will join Genus and work within the Data Platform Engineering team alongsidethe Data Platform Product Owner and Senior Data Engineer. In addition, you will be collaborating withthe Data Operations Team and Data Enablement Team, along with Key stakeholders and other membersof the team, such as Data Architects and Analysts, to design and deliver advanced data engineeringsolutions that enable s

Role summaryYou’ll enhance and scale the platform’s data layer: modeling, transformations, performance, and correctness. This role is hands-on and production-oriented.What you’ll doBuild curated datasets and optimize Snowflake performance/costDesign incremental pipelines, backfills, and reconciliation processesImplement monitoring and data validations tied to SLAsCollaborate with API/analytics consumers on stable contracts and documentationImprove operatio

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,

We are looking for a skilled Data Engineer whose primary focus will be:Provide engineering (DevOps, Cloud, Data ETL/ELT etc.) support to the project teamWorking with Kafka, Kinesis and event-driven processing- API data ingestion and transformation (REST)- Works with Lambda, Step Functions, SNS/SQS- Assists with Glue Job development & automationPerform GxP validation/qualification activities.experience20

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

 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

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