Job Name : Data Engineer
Job Location : Hartford, CT
Job Type : Contract
Client : DISYS
Rate : Depend on Experience
Job Authorization : US Citizen/ GC /EAD (H4/L2/TN) preferred C2c are open only for own Corp, not accepted from any employers
Responsibilities:
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and 'big data' technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
Should also have experience using the following software/tools:
Extensive experience with Azure Databricks.
Knowledge in PowerBI
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases.
Experience with stream-processing systems:
Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
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Last updated on Feb 9, 2022