Vacancy expired!
Talend Developer with Spark
Jersey City/NJ
Max 8-9 years candidates -NOT MORE THAN 9+ years
Duration : 3 Months C2H
We need to find a balance between their Talend experience and an overall alignment to an associate position.
I'd prefer at least 2-3 years of experience with Talend but there are other factors as well.
It may be shorter but if their last projects are similar to what we do they will definitely be considered.
We are looking for hands-on intermediate level developers with a potential for an Associate position.
heavy ETL and Talend with good working experience on Cassandra no relational Dbases / Linux environment - other req needs good Spark and good understanding of Cassandra all batching in Java executed through Spark good backend work using multiple technologies. Work with multiple Stake holders
Opportunity for a talented Talend/ETL developer looking for a team that provides an environment of growth and the opportunity to scale technical skillset. The ideal candidate will have:
Extensive experience with horizontally scalable and highly available system design and implementation, with a focus on performance and resiliency
Extensive experience profiling, debugging, and performance tuning complex distributed systems
Willingness to commit extra effort to meet deadlines as required on a high profile and business critical projects
Strong work ethic, excellent problem-solving skills and good written and verbal communication skills
Bachelor's Degree or better in Engineering, Computer Science or Information Technology
Technical Skills
Experience with ETL Talend
Experience with ODS Cassandra
Experience with Java 8 / Spark is a plus
Experience with Real time messaging Kafka / Java on Gaia Application Platform
Experience with Cloud Computing (AWS)
Experience with Big Data, Hadoop and Hive
Experience in middle-tier/backend systems development in Java/Linux
Working experience with Hadoop, Enterprise Java development, NoSQL data platforms (Cassandra)
Working experience with Pub/sub messaging (Rendezvous, AMPS, Kafka, etc.), Stream processing (Storm, Hbase, Nifi, Spark Streaming, etc.)
Exposure to Machine Learning will be a plus
