Virtusa
Data Engineer
Job Description
Scala, Python or Java
programming
Y High Scala or Expert level of Java required for Senior roles.
3 Hadoop - HDFS commands
and Spark commands
Y High
4 SQL Scripting - HQL,
SparkSQL or any RDBMS
(Teradata, Oracle, MySQL,
SQL Server, Redshift)
Y High Minimum 3+ years of experience
5 Hive and HQL (UI tools,
metastore)
Y High
6 Sqoop Import, Export, Job and
Metastore commands.
Y High
7 Kafka or Spark Streaming Low * Preferred
8 Scalding Scala API for
Hadoop MapReduce
Low * Preferred
9 GitHub commands and use Y 1
High Required for Senior roles
10 Other Versioning tools, Repo
tools, CI/CD Tools (e.g. Stash,
TeamCity)
High 1
Required if GitHub is missing
11 AutoSys - Basic (used iDash,
WCC or autorep)
Y 2 Medium
12 AutoSys - Advanced (created
JILs)
Low * Preferred
13 Other Job Scheduler tools Medium 2
Required if AutoSys - Basic is missing
14 Unix or Linux OS Commands Y High
15 Unix/Linux Shell Scripts
programming
Y High Minimum 3+ years of experience
16 Working experience and
exposure to AWS Cloud
Low * Plus, if candidate have it along with Snowflake certification
17 Ab Initio technology - GDE,
Express>IT, Control Centre;
Working Experience.
Low * Plus, if candidate have it
18 Data Wrangling - cleaning,
structuring and enriching raw
data into a desired format for
delivering insights.
Y High
19 Solution Designing to provide
various options and adapt the
best solution that delivers the
objectives.
Y Medium
20 Worked in SDLC Model Y Medium
21 Worked in Agile environment
and used Jira, including
working closely with internal
business stakeholders.
Y Medium
22 Worked in ITIL Service
Management Environment
Low * Preferred
23 Critical Thinking and ProblemSolving Skills
Y High
24 Good Communication and
Collaboration Skills
Y High
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