Manager - Data Services
Role Overview : The manager will work closely with DGM Data warehouse for implementation of various projects in Data Services Support. He/she will be working closely with business and other technology team to understand the requirement and execution
Key Responsibilities
- :Manage and mentor a team of Data Engineering and BI professionals while driving the strategy behind the data warehous
- e.Responsible for the full data engineering lifecycle including exploration, POC, Architecture, Design, Development, Test, Deployment and Maintenance of enterprise dat
- a.Establish close working relationships with other technology teams and business user
- s.Implement solutions and standards for data ingestion, Transformation and storag
- e.Design and implement multi-dimensional models, including the construction of Data marts, Dimensions, and Cubes while adhering to enforced development methodologie
- s.Design and implement the data loading (ETL) and publishing processes within the DW/BI environmen
- t.Design and implement reporting applications including (but not limited to) BI dashboards, reporting cubes and static repor
- t.Design and implement required interfaces for the data warehouse including BI tools and other applications used by the busines
- s.Develop, implement and maintain test strategies and plan
- s.Promote a cohesive & high-performance work environment by continuously engaging with the team members, providing development feedback and right training input
- s.Review the performance of the team members on a regular basis and help them to improve the productivit
- y.Monitor, facilitate and ensure the team adheres to the process
- esGuide / mentor and train the team members in building their capabilities and improving their performanc
- e.Actively participate / contribute in continuous improvement projec
- tsExperience working in Informatica and relevant ETL Tools is Mandator
- y.Experience working in Big dat
- a.Experience in Hadoop distributions systems like Cloudera / Hortornworks would be an added advantag
- e.Expertise in building data pipelines that influence the analytical requirements using the BI Tools [Ex. Tableau, Power BI et
- c]Experience working with large data pipelines that process data using Spark, Scala, Python, Apache Kafka, et
- c.Experience with Batch and Real time data processing technique
s.
Skill and Competencie
- s: Ability to perform detailed data analysis (i.e. determine the structure, content, and quality of the data through examination of source systems and data sampl
- es)Experience in ETL tools, (Informatica is mandatory), Unix shell script
- ingStrong experience in configuring and building SQL Server Analysis cub
- es.Excellent problem-solving ski
- llsReport generation ski
- llsStrong development experience within highly scalable/critical proje
- ctsAbility to work in a fast-paced, dynamic environment and work on multiple projects simultaneous
- ly.Very strong technical and architectural background with good mobile industry experie
- nceGraduation and post-graduation degree in Computer science
- /IT15+ years of overall experience in data wareho
use
Location : Che
nnai