Apache Flink Developer
1 month ago
Role : Apache Flink
Experience : 6-8 Years
Location : Chennai, Hyderabad, Bengaluru
Job Description :
- Ability to translate application storyboards and use cases into functional applications
- Build near real time data pipeline with Apache Flink, DASK and Airflow & Python to extract data from NoSQL DBs and Load it into Neo4j Graph
- Design, build, and maintain efficient, reusable, and reliable Java code
- Ensure the best possible performance, quality, and responsiveness of the applications
- Help maintain code quality, organization, and automatization
- Strong debugging, problem solving and investigative skills.
- Ability to assimilate disparate information (log files, error messages etc.) and pursue leads to find root cause of problems
- Experience in Agile/Scrum methodology
- Proven ability to create innovative solutions.
- Strong agile/scrum development experience
- Expertise developing web applications and APIs using Micro Services, with demonstrable production-scale experience.
- Web applications development using Java, HTML5, CSS3, JavaScript, jQuery, Angular JS, Spring Boot.
- Skilled n Version control tools e.g., GIT, SVN, etc. to maintain common source code the entire process of work flow.
- Writing unit / Integration tests using JUnit / Mockito for code coverage as per the standards and Log4j 2 for logging.
- Expert in database scripts, stored procedures, functions, triggers etc.
Experience Required :
- Must have strong experience in Apache Flink, Apache Airflow and DASK
- Neo4j experience is an added advantage
- Strong experience in building microservices using Spring Boot.
- Well versed with design patterns and related frameworks Web applications development using Java, HTML5, CSS3, JavaScript, jQuery, Angular JS, Spring Boot.
- Build near real time data pipeline with Apache Spark, Pyspark & Python to extract data from NoSQL DBs and Load it into Cassandra Data Enterprise Graph
- Build real time data pipeline with Apache Flink, Apache Kafka and Python to extract data from Relational and NoSQL DBs and Load it into Cassandra Data Enterprise Graph.
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