NEED Azure Data Engineer -​Remote

[Kranthi Thanda]

Hi 

Hope you are well

We have urgent requirements  with our implementation for the below requirement. 

NOTE: W2 or C2C first 6 months and after that C2H with the client. 

Azure Data Engineer -Remote

Location – Remote (CST time Zone)

Visa: GC USC H1 Transfer 

Rate: $65/hr W2 and C2H 

 

Job Duties:

• Significantly contribute to the evaluation, research, experimentation efforts with batch and streaming data engineering technologies in a lab to keep pace with industry innovation while assessing business impact and viability for use cases associated with efforts in hand
• Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
• Significantly contribute to the definition and refinement of processes and procedures for the data engineering practice
• Work closely with data scientists, data architects, ETL developers, other IT counterparts, and business partners to identify,
• capture, collect, and format data from the external sources, internal systems and the data warehouse to extract features of interest
• Code, test, deploy, monitor, document and troubleshoot data engineering processing and associated automation

 

Job Specification

Mandatory skills highlighted

 

• Proficient in working on the MS Azure Platform
• Experienced in building Data Lakes on Azure platform.
• Experience with Data Sore; Data Fabric and being able to bridge the gap between On Prem H3 Data Fabric and Cloud data base
• Proficient with processing large data sets with Kafka, RabbitMQ, Flume, Hadoop, HBase, Cassandra and/or Spark or similar distributed system
• Proven track record with NoSQL data stores such as MongoDB, Cassandra, HBase, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise
• In-depth knowledge of ETL concepts and Business Intelligence technologies such as Informatica, DataStage, Ab Initio, Cognos, BusinessObjects or Oracle Business Intelligence
• Strong knowledge of operating systems, applications and associated hardware (e.g., Windows Desktop OSs, Windows Server OSs, OS/400, UNIX/Linux)

 

Scala +

Spark +

Azure +

Kubernetes (for CI/CD)

Regards,

 

Kranthi Thanda

Lead-Talent Acquisition Team 

---

CsxTech INC. 

Email: kra...@csxtech.com

Mobile: 972-214-2450

Direct-469-443-4705 Office: 972-379-7181*117 | Fax: 972-379-7182  

Adress: 4975 Preston Park Blvd,Suite # 70, Plano, Texas-75093.

Hangouts: kranthi....@gmail.com

LinkedIn : https://www.linkedin.com/in/kranthi-thanda-1a747a56/

[Kranthi Thanda]

Hi 

Hope you are well

We have urgent requirements  with our implementation for the below requirement. 

NOTE: W2 or C2C first 6 months and after that C2H with the client. 

Azure Data Engineer -Remote

Location – Remote (CST time Zone)

Visa: GC USC H1 Transfer 

Rate: $65/hr W2 and C2H 

 

Job Duties:

• Significantly contribute to the evaluation, research, experimentation efforts with batch and streaming data engineering technologies in a lab to keep pace with industry innovation while assessing business impact and viability for use cases associated with efforts in hand
• Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
• Significantly contribute to the definition and refinement of processes and procedures for the data engineering practice
• Work closely with data scientists, data architects, ETL developers, other IT counterparts, and business partners to identify,
• capture, collect, and format data from the external sources, internal systems and the data warehouse to extract features of interest
• Code, test, deploy, monitor, document and troubleshoot data engineering processing and associated automation

 

Job Specification

Mandatory skills highlighted

 

• Proficient in working on the MS Azure Platform
• Experienced in building Data Lakes on Azure platform.
• Experience with Data Sore; Data Fabric and being able to bridge the gap between On Prem H3 Data Fabric and Cloud data base
• Proficient with processing large data sets with Kafka, RabbitMQ, Flume, Hadoop, HBase, Cassandra and/or Spark or similar distributed system
• Proven track record with NoSQL data stores such as MongoDB, Cassandra, HBase, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise
• In-depth knowledge of ETL concepts and Business Intelligence technologies such as Informatica, DataStage, Ab Initio, Cognos, BusinessObjects or Oracle Business Intelligence
• Strong knowledge of operating systems, applications and associated hardware (e.g., Windows Desktop OSs, Windows Server OSs, OS/400, UNIX/Linux)