People Prime Worldwide
Website:
people-prime.com
Job details:
About Company:-
Our Client is a major American information technology (IT) services company that specializes in designing, building, managing, and modernizing the complex technology infrastructure that large enterprises depend on every day. It is one of the world’s largest IT infrastructure services providers and supports thousands of customers across more than 60 countries.
Job Title: Data Engineer
Location:-Gurgaon
Work Mode: Hybrid
Experience: 8+ yrs.
Job Type : Contract to hire.
Notice Period : Immediate joiners
Mandatory Skills
· Good Knowledge in Architectural and Design patterns
· Architecting, planning and implementation of e2e data warehouse and business intelligence systems utilizing best practices from data architecture, data integration and management areas - 6+ years
· Expert data modelling skills; entity relationship as well as dimensional, designing various layers of data warehouse, etc… - 6+ years
· Data analysis, source system analysis and data mapping to target data model - 8 to 10 years
· Extensive knowledge in data integration architecture/ETL/Data warehouse, esp large volumes with complex integrations - 8+ years
· Strong experience in SQL, Snowflake Scripting, Snap logic, Unix shell scripting, Python, Snowflake optimization and scheduling tools along with performance improvement techniques across ETL technology stack with hands-on abilities - 8+ years
· Experience with AWS cloud technologies with most of the core features - Lambda, API gateway, S3, Athena, RDS, Dynamo DB , SQS, EC2 etc. and good understanding of AWS WAF Frameworks
· Strong DevOps background with understanding of different CI/CD stages till production
· Solid experience with AWS, Azure, and Snowflake, including architecture patterns and cloud-native data solutions.
Good to have:
· Experience in preparing Technical Documentation (Pseudo Code, Process Flow , Data Model, Class Diagram )
· Experience in using Transformation tools like DBT, Data Lineage and Data Virtualization tools
· Integration with cloud systems like Oracle Fusion, Concur, Anaplan, etc.
· Good understanding of streaming concepts using Kinesis or Kafka, etc.
· Exposure to Data quality, complex transformation such as B2B, metadata management, etc…
· Exposure and sound understanding of financial services domain - Mutual Funds and Fund accounting
· Self-starter with ability to take ownership of end – to – end implementations
· Exposure to machine learning platforms( e.g., Azure ML, AWS Sagemaker) and understanding of how data architecture supports AI-driven solutions.
· Operating in a quickly changing and ambiguous environment and driving technological innovations to meet business requirements
· Good knowledge of reporting tools such as Power BI with understanding of different types of reporting, storytelling using visualization, etc…
Key Skills - Python snowflake cloud AWS Basic AI SQL
Good To have - Basic AI knowledge, with DevOps and ML Ops
Click on Apply to know more.