Role: AWS Java Developer
Work Mode: Hybrid
Work timings: 2pm to 11pm
Location: Chennai & Hyderabad
Primary Skills: Kafka with Java/Python
Secondary Skills: AWS (s3, lambda, MSK, Ec2)
Detailed JD
- 10-12 years of overall IT experience and 8+ years in expert level development experience with Python and scalable solutions.
- Expert level development experience with Python AND Java for scalable solutions.
- Experience with Kafka and Kafka Streams (confluent or Apache Kafka or MSK) is a must.
- Expert level development experience with Python and scalable solutions.
- Sound knowledge and work experience with SQL.
- Experience with spark and Spark Streaming (either python or scala is MUST) Ability to integrate different components in a streaming data pipeline.
- Sound knowledge on AWS (data related) components, ex: AWS Kafka, AWS Airflow, AWS S3, AWS EMR, Lambda, AWS kinesis and firehose.
- Should be able to Design and Develop Streaming pipelines with Kafka by developing publisher and subscriber scripts.
- Able to troubleshoot data issues and suggest fixes by monitoring CloudWatch and other AWS logs.
- Ability to write testcases in python, Unit test, pytest etc.
- Good understanding and experience working with different Bigdata file formats along with regular JSON, xml and txt formats.
- Shell scripting is a plus.
- Should be able to work with Terraform or Cloud formation and able to handle deployment activities in AWS.
Role: AWS Java Developer
Work Mode: Hybrid
Work timings: 2pm to 11pm
Location: Chennai & Hyderabad
Primary Skills: Kafka with Java/Python
Secondary Skills: AWS (s3, lambda, MSK, Ec2)
Detailed JD
- 10-12 years of overall IT experience and 8+ years in expert level development experience with Python and scalable solutions.
- Expert level development experience with Python AND Java for scalable solutions.
- Experience with Kafka and Kafka Streams (confluent or Apache Kafka or MSK) is a must.
- Expert level development experience with Python and scalable solutions.
- Sound knowledge and work experience with SQL.
- Experience with spark and Spark Streaming (either python or scala is MUST) Ability to integrate different components in a streaming data pipeline.
- Sound knowledge on AWS (data related) components, ex: AWS Kafka, AWS Airflow, AWS S3, AWS EMR, Lambda, AWS kinesis and firehose.
- Should be able to Design and Develop Streaming pipelines with Kafka by developing publisher and subscriber scripts.
- Able to troubleshoot data issues and suggest fixes by monitoring CloudWatch and other AWS logs.
- Ability to write testcases in python, Unit test, pytest etc.
- Good understanding and experience working with different Bigdata file formats along with regular JSON, xml and txt formats.
- Shell scripting is a plus.
- Should be able to work with Terraform or Cloud formation and able to handle deployment activities in AWS.
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 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 is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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