This position is with leading financial company. Our client is looking for an experience Data Scientist who can help them discover the information hidden in vast amounts of data, and help make smarter decisions to improve company’s strategy and profitability.
Requirements:
·
Graduation/Post
Graduation in IT/Computer Science/ Software engineering or mathematics is preferable
·
Experience
in implementing | managing very large data platforms Like Data Lake &
Enterprise Data Warehouse
·
Knowledge
of building highly scalable, robust & fault-tolerant systems and
capabilities.
·
Good
architectural inclination and has participated/contributed @ core design levels
with ability to manage / work on complex large data projects.
·
Introducing
new data management tools & technologies into the existing system to make
it more efficient.
·
Strong
IT & Business interactions capability
·
Experience
with Basic Data Science, Statistics, Machine Learning & Modelling is a plus
·
Working
knowledge of modern software development practices and technologies such as
agile methodologies and DevOps
·
Experience
using business intelligence tools (e.g. Tableau, Power BI, Qlik Sense)
·
Role
as big data/analytics developer, Big Data Technical Lead & Experience
working within the analytics, software development or large data volume based
is highly desired
·
Strong
Hands-on experience in the Big data stack (Hadoop, Spark), R|Py, Hive, Database
(such as Oracle, MS SQL Server, MySQL, PostgreSQL), NoSQL (such as HBase,
MongoDB, Cassandra, Cosmos, Arango, Orient) and Data Warehousing (such as
Microsoft Azure DW, Redshift, Teradata, Vertica) and data migration, ETL (Thena,
Sagemaker, AWS Glue, Azure Data Factory, Informatica, SSIS, etc.) and
integration