Job Description :
Hi,
Greetings from Saxon Global !!
Please find the below job details for your reference and reply me with your updated resume if you are interested.
You can share your resume at nitin dot k at saxonglobal dot com or can call at nine seven two four nine nine six three two five.
References are most welcome. ??
Bigdata Engineer
Dallas, TX
Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
Licenses & Certifications
Azure Development Track Certification (preferred)
Spark Certification (preferred)
Cassandra Certification (preferred)
5 plus years of Software Development experience with expertise in data analytics, warehousing and data engineering
3 plus years of experience in Agile methodology and mindset as an approach to software development
Hands on experience in delivering large scale projects
Proficiency and experience in python or similar programming language
Expertise with SQL
Expertise with Relational Databases (RDBMS) and/or No-SQL databases
Experience with DevOps Toolchain methodologies, Continuous Integration, and Continuous Deployment
Demonstrated initiative, flexibility, and ability to adapt to changing priorities and work environments
Combination of experience in any of the following tools/platforms required:
o Scripting: Python, Spark, Unix, SQL
o Databases: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS
o Cloud: Azure, AWS, IBM, Google
o CI/CD: GitHub, Jenkins, UrbanCode Deploy
o BI: Cognos, Tableau, PowerBI
o Big Data platform: Hadoop, HDFS, Solr, Hive, Impala
o Data Warehousing: DataStage, Informatica
1. ETL (any ETL tool)
2. Database (any database)
3. Scheduler (any, CTL-M or TWS etc)
4. SQL Knowledge
5. Python
6. Spark
7. Unix
8. Agile
9. Jenkins/UCD
10. DevOps
11. Cloud Experience (Azure or AWS or GCF or IBM Bluemix)
12. Reporting tool (Cognos, Power BI or Tableau)
13. NiFi
Airline Industry Experience
Knowledge of Containers and Cloud technologies
Knowledge of Apache Kafka, Spark ML
Experience with ETL products (DataStage, Informatica, Talend, etc
Cloud computing data pipeline experience (Azure preferred)
ML/AI pipeline deployment experience