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25/11 pradeep kumar
Analytics Manager at Reddoorz

Views:1467 Applications:9 Rec. Actions:Recruiter Actions:5

RedDoorz - Data Engineer/Data Architect (4-10 yrs)

Delhi NCR/Noida Job Code: 768654

Are you a Data computation Geek.? Do you have experience in developing the Data Warehousing experience from scratch? Do you like to solve the most complex and high scale (billion + records) data challenges in the world today?

At Reddoorz (Singapore Based fastest growing startup in Hospitality domain) is hiring highly technical cloud computing architects Consultant/Data Engineers for developing internal Data Warehouse(DWH) in our Noida (India) office.

Job Description:

Looking for Data Engineer/Data Architect who understands the complexity of data and can design systems and models that can handle a different variety of data with High levels of volume, velocity, and veracity. The role takes ownership in establishing the Master Data Management platform for the organization, Cloud Data warehouse design, Creating ETL pipeline (would be essential elements) & Has the hands-on experience in setting up Enterprise-grade Data warehouse (DW), Data Lake, BigData ecosystem. Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture, Create strategies and plans for data security, disaster recovery and total business continuity.

THE SKILLS AND EXPERIENCE YOU BRING:

- 4-7 yrs of experience in ETL Development (ETL/ELT/DataIngestion/Impala/Redshift/) & Expertise at the end to end implementation of Data Warehousing concepts - Mandatory.

- Excellent in writing complex SQL Queries, managing relational databases, and writing Views and Stored Procedures.

- Extensive knowledge of relational databases data modeling data extraction from legacy system data staging mechanism data cleanup and data validation

-End to end Big data solution, Batch solution (AWS glue/AWS pipeline), Distributed computing solution (Spark, EMR), Analyze data through standard SQL (Athena),

Functional solution (aws lambda), Distributed storage (Redshift, S3), Real-time solution (Kafka, aws kinesis).

Please connect:  9811263046

Women-friendly workplace:

Maternity and Paternity Benefits

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