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SAS Python Database SQL Experience Data Engineer Engineer
(Jobs in Atlanta, GA)
 
Requirement id 97587
Job title Engineer
Job location in Atlanta, GA
Skills required SAS, Python, Database, SQL Experience Data Engineer
Open Date 11-Sep-2019
Close Date
Job type Contract to Hire
Duration 4 Months
Compensation DOE
Status requirement not found
Job interview type Face to Face interview
   Email Recruiter: coolsoft
Job Description Engineer: SAS, Python, Database, SQL Experience Data Engineer

Candidate must be our W2 Employee

We should submit only GC, GC EAD, L2 EAD, H4 EAD and Citizens.

Description:

Design, develop, test, and maintain SAS/Python applications on AWS to support OLTP system, data warehouse, and business intelligence reporting. Provide integration support for SAS analytical algorithms. Develop programs to process data in real-time or in batch, design and manage ETL pipelines, and BI reports.

The Senior Data Engineer is comfortable building and maintaining applications that take JSON, XML, or SOAP input into SAS dataset and SQL/NoSQL databases. The ideal candidate is comfortable developing multi-threaded high-performance procedures for data processing.



General Responsibilities:


Gathers and processes raw, structured, semi-structured, and unstructured data, from internal and external data providers via databases (PostgreSQL, DB2, Oracle, Microsoft SQL server), APIs, FTPs, and messaging services, using batch and real-time data processing frameworks.
Develop object-oriented ETL jobs to transform data in relational and NoSQL databases
Tune ETL performance and recommend on efficient I/O and resource utilization
Provide end customers operation-related data and reports via APIs, FTPs, and databases
Develop and manage OLTP system, with good understanding in a transactions lifecycle from inventory, order placement, order validation, order cancellation, order refund, order return, customer subscription, remarketing, and etc.
Manage and enhance data models for OLTP system and data warehouse
Develop audit trail to track real-time status of a transaction
Build visualized ETL data pipeline in open source tools such as Apache Airflow
Automate CI/CD workflow using framework such as serverless, terraform, Jenkins, etc.
Ensures data quality and implements tools and frameworks for automating the identification of data quality issues.
Establish best-practices for data engineer team, manage source code control environment and SDLC, and QA procedure
Provide guidance on application architecture
Strong communication and customer engagement skills




Qualifications:



Education:


BS in Math, Computer Science, or related quantitative field, or equivalent professional experience

Experience:


Minimum three years experience in OLTP system
Minimum three years experience in object-oriented programming in Python
Minimum three years experience in SQL
Minimum five years experience working with data structures, data modeling
SAS programming experience preferred
Javascript programming experience preferred





Competencies/Skills:


Base SAS, SAS EG, SAS XML Mapper, SAS Macros, SAS/ODS
AWS tools: API Gateway, Lambda, SQS, SNS, EC2, EMR, DynamoDB, S3, and Kinesis
Developing on Linux platform, Cron, shell scripting
Experience with a version controlled environment (GitHub preferred)
Excellent written, verbal and interpersonal communication skills



Certifications:


AWS Certification preferred
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 97587 while calling.
 
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(Engineer: SAS, Python, Database, SQL Experience Data Engineer in Atlanta, GA)
     
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