Deloitte Python Developer in Boston, Massachusetts
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.
Strong technical expertise in most of the following:
Hadoop (Cloudera distribution)
Spark with Scala or Python programming
Hive Tuning, Bucketing, Partitioning, UDF, UDAF
NOSQL Data Base such as HBase, MongoDB or Cassandra
Experience and knowledge working in Kafka, Spark streaming, Sqoop, Oozie, Airflow, Control-M, Presto, No SQL, SQL
Expert level usage with Jenkins, GitHub is preferred
Knowledge of working in financial/insurance domain
6+ years of experience of professional work experience
Strong technical skills including understanding of software development principles
Hands-on programming experience
Must live a commutable distance to one of the following cities: Atlanta, GA; Austin, TX; Boston, MA; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Dallas, TX; Detroit, MI; Gilbert, AZ; Houston, TX; Indianapolis, IN; Kansas City, MO; Lake Mary, FL; Los Angeles, CA; Mechanicsburg, PA; Miami, FL; McLean, VA; Minneapolis, MN; Nashville, TN; Orange County, CA; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Rosslyn, VA; Sacramento, CA; St. Louis, MO; San Diego, CA; Seattle, WA; Tallahassee, FL; Tampa, FL; or be willing to relocate to one of the following USDC locations: Gilbert, AZ; Lake Mary, FL; Mechanicsburg, PA.
Limited Immigration sponsorship may be available.
Ability to travel up to 15% (While 15% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice.)
3 + years' experience working with Big Data eco-system including tools such as Hadoop, Spark, Map Reduce, Sqoop, HBase, Hive and Impala
Proficiency in one or more modern programming languages like Python or Scala
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
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
Bachelor of Science in Computer Science, Engineering, or MIS, or equivalent experience
Any bigdata certification is a plus
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.