13/01 Samera Hussaini
Talent Acquisition at Reliance Jio

Views:1095 Applications:131 Rec. Actions:Recruiter Actions:8

Reliance Jio - Data Warehousing Lead - Data Management (8-11 yrs)

Mumbai Job Code: 291389

Role & Responsibility :

- Responsible for Data Warehousing in JioPrime - personalised commerce and consumer engagement business

- Act as senior solution architect for handling complex data management, data migration and data warehousing scenarios

- Provide oversight to the design and delivery of big data platforms to support the ingestion and transformation of data from multiple sources

- Design Data Mapping in complex and high-volume environment and data processing at Terabytes level.

- Design, Review and Implementation of Data Warehouse

- ETL Design, Review and Implementation - Implement ETL processes that maximize re-usable components/services, collect/share metadata, incorporate audit, reconciliation and exception handling

- Build Data Management Solution Architecture - Build data architecture and establish linkages between unstructured and structured data sources to create analytical data marts

- Setup end to end Data Management process for Analytics projects

- Conduct System Testing - execute job flows, investigate system defects, resolve defects and document results

- Attract, develop and retain a pipeline of highly engaged, superior Data Management talent and mentor next level team members in terms of technology & management

Candidate Qualification and Skill Sets :

- Degree in a computing, engineering or scientific discipline

- Should have demonstrated experience in managing Data Management, DWH function

- Broad experience with multiple technologies in the area of ETL, business intelligence, reporting and descriptive analytics is required.

- Sound technical knowledge - DB structures/querying, ETL/BI technologies

- Experience with agile solution development methods is preferred

- Previous experience in technology leadership and relationship management.

- Strong understanding of relational database structures, theories, principles and practice.

- Proficient understanding of distributed computing principles

- Experience with NoSQL databases, such as HBase, Cassandra, MongoDB

- Understand data integration best practices, leading industry applications and features such as MDM, entity resolution, data quality assessment, metadata management, etc.

- Knowledge of tools to query and manipulate data in varying file formats (IDQ, SQL, Collibra etc.)

- Should have good knowledge of any one Bigdata technology (Hive/Scala/Map reduce)

- Strong Knowledge of any one Database (Oracle/Teradata/Greenplum)

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

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