Big Data Cloud Kafka

2 days ago


Andhra Pradesh, India Virtusa Full time

EIS DATA JD Tier 2

Cloud Data Lead with very strong in Experience in Bigdata (Kafka, Elastic search,Logstash,Kibana)

Required experience with Data Engineering and ETL/EDW Design Process and Practices.

Experience in Data Modeling

Experience in CDC process (Added Advantage if knowledge in Debezium or any CDC tools)

On prem to Cloud Data Migration expertise

Experience in Hortonworks Data Platform or Cloudera Distribution stacks

AWS Development experience using these services ( RDS with Postgres SQL Experience,DynamoDb,Data Pipeline, Data Base Migration, AWS Kafka )

Experience with GIT / Bit Bucket / SVN configuration for code check-in/Check-out and CI CD knowledge.

Experience with Source to Target mapping and Data Modeling practice.

Experience with Rest API Process ( PUT/GET)

Experience in Agile Methodology using SCRUM or Kanban

Insurance domain experience is a plus.

Handling Client experience will be added advantage

Added Advantage if have Experience in Python and Spark

Hands on SQL experience coding, optimization & finetuning

**About Virtusa**

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 36,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.

Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.


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