Previous Job
E-commerce Java Technical Lead
Ref No.: 17-00132
Location: Tampa, Florida
HSI is seeking a E-Comeerce Java Technical Lead to Join our client in building the next generation data-processing platform that helps Fortune 500 companies optimize video ads to directly increase sales. Our platform is built to handle over 10 billion events daily, process all events in real-time utilizing streaming technology, and run predictive modeling to optimize our clients' ads performance. You'll take part in creating a scalable system to handle all our data and creating production level, parallelized big-data solutions. We strive to write robust and scalable code utilizing a combination of Java, Scala, and Python. Some of the frameworks and databases we're using are: AWS, Amazon Kinesis, Apache Spark, Databricks, Amazon Redshift, DynamoDB, and Aerospike, among others. We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company. Responsibilities Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities Implementing ETL processes Monitoring performance and advising any necessary infrastructure/process changes Requirements 5+ years hands-on programming experience in data engineering – they do not want a senior person. Solid understanding of CS fundamentals Proficiency programming in Java Proficient in another modern programming language: Scala, Python, etc. Proficient understanding of distributed computing principles Ability to solve any ongoing issues with operating the cluster/instances Proficiency with AWS ecosystem or Hadoop v2 ecosystem (Cloudera/MapR/Hortonworks), MapReduce, etc. Experience with building stream-processing systems, using solutions such as Spark-Streaming, Storm or Kinesis Experience with integration of data from multiple data sources Degree in Computer Science, Computer Engineering or similar Nice to Haves Experience with Spark Experience with NoSQL databases, such as HBase, Cassandra, MongoDB Knowledge of various ETL techniques and frameworks, such as Flume Experience with various messaging systems, such as Kafka or RabbitMQ Experience with Big Data Client toolkits, such as SparkML, scikit-learn, H2O, etc. Good understanding of Lambda Architecture, along with its advantages and drawbacks