data engineer in chennai

posted
contact
randstad india
position type
permanent
apply now

posted
location
chennai, tamil nadu
function
Banking & finance
position type
permanent
experience
5 To 8
reference number
945125
contact
randstad india

job description

data engineer in chennai

?4+ years experience in software product development and delivery
? Bachelors or Masters degree in engineering (preferably computer science or sister branches)
from a reputed institute (preferably IITs, NITs, or other top engineering institutes)
? All experience should be from good product development or e-commerce background
? Must have shown good stability in all your previous associations.
? Strong grasp of CS fundamentals like OS, algorithms and excellent problem-solving abilities
? Prior experience in building and supporting highly scalable & resilient databases, warehouses,
data pipelines etc and co-ordination with data scientists in consumption for analytics

Benefits
?NA

Client Introduction
?a financial platform for the informal sector, which provides solutions tailored to the
customers goals and are intuitive to use.

skills

?Have strong backend knowledge and cloud development exposure
o Proficiency in SQL, Python, Java, Spring boot, Hibernate, REST API development
o Worked with at least 1 RDBMS (Mysql preferred), 1 NoSql DB and 1 scripting language
(Python preferred).
o Hive, Hadoop, Spark, Storm, MapReduce, Bigtable, Cassandra, Scala etc are technologies
you have either used or are very comfortable to pick up
o Very comfortable with data lakes, warehouses and ETL/ELT paradigms
o Basic knowledge of statistical analysis, mathematical modelling and machine learning

qualification

?Have strong backend knowledge and cloud development exposure
o Proficiency in SQL, Python, Java, Spring boot, Hibernate, REST API development
o Worked with at least 1 RDBMS (Mysql preferred), 1 NoSql DB and 1 scripting language
(Python preferred).
o Hive, Hadoop, Spark, Storm, MapReduce, Bigtable, Cassandra, Scala etc are technologies
you have either used or are very comfortable to pick up
o Very comfortable with data lakes, warehouses and ETL/ELT paradigms
o Basic knowledge of statistical analysis, mathematical modelling and machine learning