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Data Analytics Technical Lead - Perm
Ref No.: 18-00032
Location: Weehawken, New Jersey
The Data Analytics Technical Lead will provide architectural and technical leadership to a growing team focused on delivering cutting edge data intensive analytical platforms & solutions.
A Data Analytics Technical Lead will be responsible for delivery and will take a hands on approach in the design and build phases. The team utilise the latest in Big Data, Cloud, Open source & Data Science tools & techniques.
Major Duties/Responsibilities:
  • Working with business domain experts to identify detailed data needs, sources, and structure to support solution development.
  • Determining technical approaches to be used, and defining the appropriate methodologies
  • Providing overall solution architectural leadership including the ability to influence other technical experts and drive teams to align on technical solution options quickly
  • Must be capable of working in a collaborative, multi-site environment to support rapid development and delivery of results and capabilities (i.e. AGILE SDLC)
  • Effectively communicating technical analyses, recommendations, status, and results to IT and business management and executives in business terms
  • Excellent leadership skills: Ability to build effective partnerships with leaders in the business
Minimum Required Skills and Education:
  • Bachelors (IT/Computer Science Preferred); Master's Degree preferred (IT/Computer Science Preferred) or equivalent experience
  • 8-10 years of industry experience in analyzing source system data and data flows, working with structured and unstructured data, and delivering data and solution architecture designs.
  • Experience with clustered/distributed computing systems, such as Hadoop/MapReduce, Spark/SparkR, Lucene/ElasticSearch, Storm, Cassandra, Graph Databases, Analytics Notebooks like Jupyter, Zeppelin etc
  • Experience building data pipelines for structured/unstructured, realtime/batch, events/synchronous/asynchronous using MQ, Kafka, Steam processing.
  • 5+ years of experience as a data engineer/solution architect designing and delivering large scale distributed software systems, preferably in large scale global business- preferably using open source tools and big data technologies such as Cassandra, Hadoop, Hive, Prestodb, Impala, HBase, Spark, Storm, Redis, Drill etc
  • Strong hands-on experience of programming with Java, Python, Scala etc
  • Experience with SQL, NoSQL, relational database design, and methods for efficiently retrieving data for Time Series Analytics.
  • Knowledge of Data Warehousing best practices; modeling techniques and processes and complex data integration pipelines
  • Experience gathering and processing raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.)
  • Excellent technical skills – able to effectively lead a technical team of business intelligence and big data developers as well as data analysts.
Optional Skills:
  • Experience in Machine Learning, Deep Learning, Data Science
  • Experience with Cloud architecture & service like AWS, Azure
  • Experience with Graph, Sematic Web, RDF Technologies
  • Experience with Text Analytics using SOLR or ElasticSearch