Note:- Passport no. is Mandatory
Title: Data Engineer
Location: Irving, TX
Experience 9+ years
Mandatory Skill: ETL/Data Engineer
Job description:
This position is accountable for designing and developing Data Virtualization and ETL process for the implementation Data Marketplace solution.
Qualifications: JOB REQUIREMENTS (Education, Experience, and Technical Skills):
- Minimum education requirement is Bachelor of Engineering in Computer Science or related field,
- 8+ years of experience in data integration from key business systems on prem (Hadoop, Teradata, Oracle) and on-cloud (AWS, GCP)
- Should be well versed with the Data As a Service and Data Marketplace concepts
- Should have atleast 4 years of experience in implementing data Virtualization preferably using IBM Cloud Pak for Data.
- Minimum 4 years of experience in any Data processing tools like IBM DataStage, Informatica, AWS Glue, GCP Dataflow.
- Should have atleast 2 years of experience in real-time data processing using Kafka, Amazon Kinesis and AWS Lambda
- Advanced SQL skills for analysis, standardizing queries, and building data platform involving large-scale relational and non-relational datasets
- Should have the basic knowledge of any one visualization tools (Tableau, Power BI, QuickSight)
- It will be an added advantage if the candidate is having an understanding of Java Spring boot and UI (Angular/React)
- Passion for detail and data quality, an ability to identify weaknesses in data and process, and a willingness to drive improvement
Responsibilities:
- Designing and developing the Data Integration process
- Designing and developing the Data Virtualization process.
- Designing and developing the Data subscription and publication process.
- Interact with Data Analysts to understand the data cleansing/transformation rules and implement the same
This position is accountable for designing and developing Data Virtualization and ETL process for the implementation Data Marketplace solution.
Qualifications: JOB REQUIREMENTS (Education, Experience, and Technical Skills):
- Minimum education requirement is Bachelor of Engineering in Computer Science or related field,
- 8+ years of experience in data integration from key business systems on prem (Hadoop, Teradata, Oracle) and on-cloud (AWS, GCP)
- Should be well versed with the Data As a Service and Data Marketplace concepts
- Should have atleast 4 years of experience in implementing data Virtualization preferably using IBM Cloud Pak for Data.
- Minimum 4 years of experience in any Data processing tools like IBM DataStage, Informatica, AWS Glue, GCP Dataflow.
- Should have atleast 2 years of experience in real-time data processing using Kafka, Amazon Kinesis and AWS Lambda
- Advanced SQL skills for analysis, standardizing queries, and building data platform involving large-scale relational and non-relational datasets
- Should have the basic knowledge of any one visualization tools (Tableau, Power BI, QuickSight)
- It will be an added advantage if the candidate is having an understanding of Java Spring boot and UI (Angular/React)
- Passion for detail and data quality, an ability to identify weaknesses in data and process, and a willingness to drive improvement
Responsibilities:
- Designing and developing the Data Integration process
- Designing and developing the Data Virtualization process.
- Designing and developing the Data subscription and publication process.
- Interact with Data Analysts to understand the data cleansing/transformation rules and implement the same
| Skills | Years of experience |
| Hadoop | |
| Teradata | |
| Oracle | |
| AWS/GCP | |
| Data Virtualization preferably using IBM Cloud Pak for Data. | |
| Any Data processing tools like IBM DataStage, Informatica, AWS Glue, GCP Dataflow. | |
| Real-time data processing using Kafka, Amazon Kinesis and AWS Lambda | |
Thanks,
_______________________________________
Govind Singh Kushwah | New York Technology Partners
120 Wood Avenue S | Suite 504 | Iselin NJ 08830
Direct: 201.604.3877 | www.nytp.com | Join me on LinkedIn
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