**Federal Project - Applicant must be a United States Citizen, with the ability to obtain a Public Trust. **
Baer is looking for Cloud Data Engineer for a 12 month Federal Remote Project.
Title: Cloud Data Engineer
Location: Remote (Must be based in US)
Duration: 12 months
Rate: All-Inclusive
Alignment: W2 or C2C (Vendors Not Permitted)
Description:
- Provides the ETL support to the data science and software engineering team members. Build, modify, support infrastructure for optimal extraction, transformation, and loading of data from variety of structure, unstructured data sources and multi-terabyte distributed file system.
- Provide current system architecture documentation, engineering/web development programming support for program/project requirements defined tasks, data science/data engineering related technical assessments
- Manage/maintain structured, semi-structured, and unstructured data, structuring and wrangling data as appropriate for statistical analysis
- Implement data warehouse concepts and relational databases, big data management techniques and tools (e.g. Hadoop, MAPReduce)
- Communicate with technical and non-technical users and managers, and server administration, to include hardware and software support to existing servers.
- Provide software engineering support to operate, maintain and enhance systems that are integrated with and/or relied upon by the data engineering lifecycle
- Integrate, analyze, and visualize data and information in near real-time (within 24 hours) from multiple disparate data sources.
- Optimize data storage and access
- Proficiency with Python and Java, Oracle enterprise manager, SQL, AWS
Requirements:
- 5 years experience conducting ETL tasks, performance engineering, run-time optimization, large data volume transfers
- 3 years experience with Regular Expressions, SQL (PostgreSQL), No-SQL (MongoDB)
- 1 year experience with Version control systems (Git)
- Preference to developer with experience working with healthcare data and Health IT
- Apache Hadoop (Cloudera), AWS Data Platforms (Redshift, S3, EMR/Hive), SQL, Java, Kafka, Scala, Kotlin, Neo4j, NiFi, Flink, Sqoop, PostgreSQL, EMR, Apache Spark, Python, PHP, Oracle, Splunk, BDD, testing framework: Cucumber
- Knowledge of and experience using various NLP approaches, particularly:
- Pattern recognition/feature extraction
- Supervised, Unsupervised, and Semi-Supervised learning techniques
- Understanding of various language models (N-Gram, Skipgram, NLM, etc.)
- Chunking/Tokenization
- Semantic parsing
- Healthcare IT experience
- Statistical model building (particularly classification)
- Masters degree in related field + 5 years experience; or PhD +1 year experience; or Bachelor’s degree in related field + 7 years experience
Public Trust Security Clearance is the lowest level of additional background screening that the federal government requires for applicants of certain jobs, which includes completing a
Standard Form 85 (SF85) form.
Company Overview:
Baer is an Enterprise Performance Partner providing job opportunities with several 1st Tier Global Systems Integrators and a wide array of Fortune 1000 clients. Baer consultants and employees enjoy access to the highest profile job opportunities across leading Enterprise Technology Solutions ranging from Digital Transformation programs utilizing the latest technologies from SAP and Oracle to a wide range of emerging Cloud based infrastructure, application and AI related solutions.
At Baer we aim to provide a best-in-class engagement experience for our consultants. Our job requirements are carefully vetted and are typically associated with pivotal programs offering tremendous opportunities to expand your skills leveraging the latest solutions.
Baer is an equal opportunity employer including disability/veteran.
ALL OPEN JOBS
refMONa
#LI-MM1
