Hi,
Please help with below roles. All visas are accepted. Position 2 is in Richmond, VA and other positions are in Wilmington, DE.
1. Sr. Java + Fullstack Developer
• 5-7 years of Working experience in Angular JS, Springboot, Java, Restful Web services
• Strong Java experience.
• At least 5-8 years of total IT Experience with expertise in delivering applications leveraging Agile methodologies of Scrum/Kanban for all the SDLC phases starting from Advanced Analysis to providing necessary production support for built applications.
• At least 2-3 years of hands on experience building applications on AWS (certified preferred)
• Experience around building data processing platforms/applications on Cloud (AWS)
• Good knowledge around Datawarehousing concepts
• Experience around DevOps leveraging Jenkins, GIT and automated test driven development approach
• Quick adoption to the emerging open source technologies and perform proof of concepts/pilots to evaluate the tech stacks
• Excellent communication skill
2. Sr. Java + UI Developer
• 5-7 years of Working experience in Angular JS, Springboot, Java, Restful Web services
• Strong Java experience.
• At least 5-8 years of total IT Experience with expertise in delivering applications leveraging Agile methodologies of Scrum/Kanban for all the SDLC phases starting from Advanced Analysis to providing necessary production support for built applications.
• At least 2-3 years of hands on experience building applications on AWS (certified preferred)
• Experience around building data processing platforms/applications on Cloud (AWS)
• Good knowledge around Datawarehousing concepts
• Experience around DevOps leveraging Jenkins, GIT and automated test driven development approach
• Quick adoption to the emerging open source technologies and perform proof of concepts/pilots to evaluate the tech stacks
• Excellent communication skill
3. Spark/Scala Sr Data Engineer with Docker and Kubernetes
Sr DE: 8+ yrs exp
Working Experience Software/Tools;
○ Experience with big data tools: Hadoop, Apache Spark, Kafka, etc.
○ Experience with Docker and Kubernetes
○ Experience with relational SQL, Snowflake and NoSQL databases, including Postgres and Cassandra.
○ Experience with data pipeline and workflow management tools: NiFi, Kylo, Luigi, Airflow, Azkaban etc.
○ Experience with AWS cloud services: S3, EC2, EMR, RDS, Redshift ○ Experience with stream-processing systems: Storm, Spark-Streaming, etc.
○ Experience with object-oriented/object function scripting languages: Python, Java, C++, PySpark, Scala, etc.
Responsibilities for Data Engineer:
● 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 AWS '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 AWS 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.
● Work with data and analytics experts to strive for greater functionality in our data systems.
4. Python + Spark/Scala Sr Data Engineer
Sr DE: 8+ yrs exp
Working Experience Software/Tools;
○ Experience with big data tools: Hadoop, Apache Spark, Kafka, etc.
○ Experience with relational SQL, Snowflake and NoSQL databases, including Postgres and Cassandra.
○ Experience with data pipeline and workflow management tools: NiFi, Kylo, Luigi, Airflow, Azkaban etc.
○ Experience with AWS cloud services: S3, EC2, EMR, RDS, Redshift ○ Experience with stream-processing systems: Storm, Spark-Streaming, etc.
○ Experience with object-oriented/object function scripting languages: Python, Java, C++, PySpark, Scala, etc.
Responsibilities for Data Engineer:
● 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 AWS '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 AWS 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.
● Work with data and analytics experts to strive for greater functionality in our data systems.
Thanks & Regards,
Sreedhar Karanam
Director-Resource Management
SIYATON GLOBAL SOLUTIONS, INC
1590 S. Milwaukee Ave | Suite 317 | Libertyville, IL 60048
Work: (703) 348-6059 |Mobile: 872-216-5406| Fax: 703 738 7887
ksreedhar@siyaton.com | www.siyaton.com
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