Deloitte Python (Scala/Spark) Senior Developer Consultant in Indianapolis, Indiana
Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feels and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.
Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ...
Function as an integrator between business needs and technology solutions, helping to create technology solutions to meet clients' requirements. Be responsible for developing and
testing solutions that aligns with clients' systems strategy, requirements, and design as well as supporting system implementation. Manage data pipeline process starting from acquisition to ingestion, storage, and provisioning of data to point-of-impact by modernizing and enabling new capabilities. Facilitate Data Integration on traditional and Hadoop environments by assessing client's enterprise IT environments. Guide clients to the future IT environment state to support meeting their long-term business goals. Enhance business drivers through enterprise-scale applications that enable visualization, consumption, and monetization of both structured and unstructured data.
Deloitte Consulting's Analytics & Cognitive offering leverages the power of analytics, robotics, and cognitive technologies to uncover hidden relationships from vast troves of data, create and manage large-scale organizational intelligence, and generate insights that catalyze growth and efficiencies.
6+ years of hands-on Python programming/scripting experience
6+ years' experience in Spark, Scala, Hadoop
6+ years' experience in Hadoop (Cloudera distribution) Hive Tuning, Bucketing, Partitioning, UDF, UDAF
4+ years' experience in one or more of the following: NOSQL Data Base such as HBase, MongoDB or Cassandra
4+ years' experience in one or more of the following: Kafka, Spark streaming, Sqoop, Oozie, Airflow, Control-M, Presto, No SQL, SQL
Strong technical skills including understanding of software development principles
Knowledge and experience with full SDLC lifecycle
Ability to communicate complex technology solutions to clients, technical, business and management teams
Travel up to 20% annually (while 20% travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice.)
Must live in one of these cities within a commutable distance: Rosslyn, Los Angeles, Boston, McLean, Orange County, Alexandria, Washington DC, Chicago, Dallas, Houston, Denver, Philadelphia, Minneapolis, Sacramento, Baltimore, San Diego, Atlanta, Austin, Boca Raton, Charlotte, Huntsville, Miami, Milwaukee, New Orleans, Portland, Raleigh, Richmond, Rochester, Orlando, Mechanicsburg, Pittsburgh, Tampa, Kansas City, Cleveland, Cincinnati, Phoenix, Harrisburg, Indianapolis, St. Louis, Tallahassee, Grand Rapids, Tulsa, Louisville, Columbus, Greensboro, San Antonio, Nashville, Dayton, Salt Lake City, Memphis, Jacksonville, Las Vegas, Hermitage, Des Moines, Davenport, San Juan, Birmingham
Authorized to work in the US. Limited sponsorship may be available
Expert level usage with Jenkins, Git, Hub
Big Data certification
Experience on data lakes, datahub implementation
Knowledge on AWS or Azure platforms
Knowledgeable in techniques for designing Hadoop-based file layout optimized to meet business needs
Bachelor's degree in Computer Science, Information Technology, Engineering, Computer Engineering or MIS
Able to translate business requirements into logical and physical file structure design
Ability to build and test solution in Agile delivery manner
Ability to articulate reasons behind the design choices being made
Live and work in one of our Delivery Center locations in Orlando, Phoenix or Harrisburg, PA areas.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.