Big Data Architect - Deloitte (Remote, Freelance/Contracting)

HDFS, NoSQL, MongoDB, Cassandra, AWS, Azure, GCP, MapReduce, Pig, Hive, HBase, Sqoop, Spark, Flume, Kafka, Storm, Hadoop, Informatica, IBM BigInsights, Talend
Contract W2, Contract Independent
$85 - $150
Work from home available Travel required to 10%.

Job Description

Experfy, a Harvard-incubated on-demand talent platform, is working with Deloitte to build an innovative Future of Work model in which elite consultants work remotely on short-term and long-term projects. Top experts who are selected to become part of Deloitte TalentCloud receive preferred access to contract opportunities that are focused on cutting-edge emerging technologies. We invite candidates to apply to become part of this prestigious community and take advantage of virtual work arrangements.

Roles & Responsibilities:

  • Big Data and Cloud Architecture
  • Design big data batch processing and interactive solutions
  • Design big data real-time processing solutions
  • Expertise in Azure technology stack
  • Operationalize end-to-end cloud analytics solutions

Technical Qualifications:

  • 2+ years of hands-on experience with Cloud using Microsoft Azure
  • 3+ years of relevant technology architecture consulting or industry experience to include experience in Information delivery, Analytics and Business Intelligence based on data from SQL and different features of SQL; SQL DW, SQL DB, PolyBase, U-SQL etc.
  • At least 2 years hands-on working experience with Microsoft Azure technologies; Azure ADF, Event Hub, Nifi, HDInsight, Blob Storage, Redis Cache etc.
  • 2+ years experience with Snowflake cloud DW
  • 1+ years of hands-on experience with data lake implementations, core modernization, and data ingestion
  • 2+ years experience leading workstreams or small teams
  • Bachelor’s Degree or equivalent professional experience
  • Hadoop Certification or Spark Certification
  • Experience with Cloud using Microsoft Azure
  • Experience designing and implementing reporting and visualization for unstructured and structured data sets
  • Experience in designing and implementing scalable, distributed systems leveraging cloud computing technologies like Microsoft Azure
  • Experience designing and developing data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching
  • Knowledge of data, master data, and metadata related standards, processes and technology
  • Experience working with multi-Terabyte data sets

Compensation:

The starting salary for this position ranges from $85.00 to $150.00 per hour depending on experience.

Job Types: Part-time, Contract

Salary: $85.00 to $150.00 /hour

Dice Id : RTX1d1cd9
Position Id : 5991875
Originally Posted : 6 months ago
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