Data Architect Level III
Ntelicor, L.P.

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This role will be responsible for Architecting, Designating, and implementing Advanced Analytics capabilities. These capabilities include Batch and Streaming Analytics, Machine learning models, Natural Language Processing and Natural language generation, and other emerging technologies in the field of Advanced Analytics. This role is responsible for implementing cutting-edge solutions by building Semantic and Virtual data layers to provide faster and federated query execution.
This role is responsible for evaluating new tools and technologies to find their fit for our Advanced Analytics platform.

Qualifications:

• BA/BS required; preferably in Computer Science, Data Analytics, Data Architecture

Required Skill set:

• 5+ years of experience in the Hadoop ecosystem (Ex: Hive, Spark, Kafka)
• 3 to 5 years of hands-on experience in architecting, designing, and implementing data ingestion pipes for batch, real-time, and streams on Azure cloud platform at scale.
• 1 to 3 years of experience in using ETL tools like ADF or similar tools especially for a large volume of data.
• 1 to 3 years of hands-on experience on Databricks.
• 3 to 5 years of working experience on Azure cloud technologies like Spark, IoT, Synapse, Cosmosdb, Log analytics, ADF, ADLS, and Blob storage, etc technologies.
• 1 to 2 years of experience on distributed querying tools like Presto or similar tools.
• 1 to 2 years of experience on virtualization tools like Denodo or similar tools.
• 1 to 3 years of experience in evaluating emerging technologies is required.
• 1 to 3 years of experience in Python/Pyspark/Scala to build data processing applications.
• Having experience in extracting/querying/Joining a large number of data sets at scale is essential.
• Highly analytical, motivated, decisive thought leader with solid critical thinking ability to quickly connect technical and business 'dots'
• Has strong communication and organizational skills and able to deal with ambiguity while juggling multiple priorities and projects at the same time

Good to have:

• • Knowledge of SAS, Teradata, Oracle etc other databases is a plus
• • Experience in data wrangling, advanced analytic modeling, and AI/ML capabilities is preferred
• • Having exposure to R and ML technologies are a plus.

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