Job Description :
Role: Big Data Developer III
Location: NW Washington, DC
Duration: 18-24+ Month Contract
Overview:
We are looking for an Big Data developer responsible for the development and maintenance of a data platform for IT operation data.
As member of the technical team, you will play a critical role in shaping new systems architecture and technical direction, as well as the future of existing system and services.
This role requires working closely with cross-functional teams to effectively coordinate inter-dependencies.
Essential Job Functions:
experience with Machine Learning, Python data science libraries, Data science platform (Data bricks, Azure ML, AWS ML)
Ability to run end to end machine learning lifecycle including Data aquisation, Data cleanup and running/updating models.
Worked in ITOps data from Splunk, DevOps, ServiceNow etc.
experience in large-scale SQL, NoSQL data infrastructures such as Cosmos DB, Cassandra, MongoDB, HBase, CouchDB, Apache Spark etc.
Application experience with SQL databases such as Azure SQL Data Warehouse, MS SQL, Oracle, PostgreSQL, etc.
Proficient understanding of code versioning tools {such as Git, CVS or SVN}
Strong debugging skills with the ability to reach out and work with peers to solve complex problems
Ability to quickly learn, adapt, and implement Open Source technologies. Familiarity with continuous integration (DevOps)
Proven ability to design, implement and document high-quality code in a timely manner.
Excellent interpersonal and communication skills, both written and oral.
Educational Qualifications and Experience:
Education: Bachelor’s degree in Computer Science, Math, or Engineering.
Role Specific Experience: 2+ years of experience in Big Data platform development.
Certification Requirements (desired):
Azure Designing and Implementing Big Data Analytics Solutions
Required Skills/Abilities:
Experience with NoSQL databases, such as HBase, Cassandra or MongoDB. Experience in ITOPS data such as splunk, log monitor, Timeseries Data service now etc.
Proficient in designing efficient and robust machine learning models
1+ years of hands on experience with data lake implementations, core modernization and data ingestion.
3+ years of Visual Studio C# or core Java.
Experience at least in one of the following programming languages: R, Python, F
1+ years of experience in Spark systems
Good understanding of multi-temperature data management solution.
Practical knowledge in design patterns.
In depth knowledge of developing large distributed systems. Experience with Azure Time Series Insights.
Good understanding of DevOps tools and automation framework.
Desired Skills:
Experience in designing and implementing scalable, distributed systems leveraging cloud computing technologies.
Some knowledge of machine learning tools and libraries such as Tensor flow, Spark ML lib.
Understanding of AWS data storage and integration with Azure.
Some knowledge of graph database.
Experience Matrix for Levels:
Level III - 7+ years of experience