Big Data + Java Fullstack

"Requirements:

. Must have: Java Fullstack

BS degree in computer science, computer engineering or equivalent

5 6 years of experience delivering enterprise software solutions

Proficient in Spark, Scala, Python, AWS Cloud technologies

3+ years of experience across multiple Hadoop / Spark technologies

such as Hadoop, MapReduce, HDFS, HBase, Hive, Flume, Sqoop, Kafka, Scala

Flair for data, schema, data model, how to bring efficiency in big data related life cycle

Must be able to quickly understand technical and business requirements and can translate them into technical implementations

Experience with Agile Development methodologies

Experience with data ingestion and transformation

Solid understanding of secure application development methodologies

Experienced in developing microservices using spring framework is a plus

Experience in with Airflow and Python will be preferred

Understanding of automated QA needs related to Big data

Strong object-oriented design and analysis skills

Excellent written and verbal communication skills



Responsibilities:

Utilize your software engineering skills including Java, Spark, Python,

Scala to Analyze disparate, complex systems and collaboratively

design new products and services

Integrate new data sources and tools

Implement scalable and reliable distributed data replication

strategies

Ability to mentor and provide direction in architecture and design to

onsite/offshore developers

Collaborate with other teams to design and develop and deploy data

tools that support both operations and product use cases

Perform analysis of large data sets using components from the

Hadoop ecosystem

Own product features from the development, testing through to

production deployment

Evaluate big data technologies and prototype solutions to improve

our data processing architecture

Automate everything"