Our client is looking
AWS Data Engineer
for
Long term
project in
Newark, New Jersey
below is the detailed requirements.
Job Title : AWS Data Engineer
Location :
Newark, New Jersey
Duration : Long term
Bachelor's degree in Computer science or equivalent, with
minimum 10 -12+ Years of IT experience.
Design, build, and maintains data processing systems and pipelines on the
AWS cloud platform utilizing AWS services like S3, Redshift, DMS, and Glue like to construct scalable, reliable, and efficient data solutions. Responsibilities include data modeling, ETL processes, and ensuring data quality and security.
Must have a
Data Architecture and Infrastructure:
Design, implement, and maintain data pipelines, data warehouses, and other data solutions using AWS services.
ETL Processes:
Develop and implement
ETL (Extract, Transform, Load) processes for data extraction, transformation, and loading into data storage systems.
Data Modeling: Create and manage
data models to ensure data integrity and facilitate efficient data analysis.
Data Security and Compliance: Implement and maintain data security and compliance measures,
including access controls, encryption, and data masking.
Data Quality: Ensure data quality, accuracy, and consistency through data validation, cleansing, and monitoring .
Collaboration: Collaborate
with
data scientists, business analysts , SAP functional SMEs and other stakeholders to understand requirements and deliver data solutions that meet business needs.
Troubleshooting: Diagnose and resolve data-related issues and performance bottlenecks.
Keep up with the latest
AWS services and data engineering best practices.
AWS Services: Proficiency
in AWS services such as S3, Redshift, DMS, Glue, and Lambda.
Data Warehousing: Experience with data warehousing concepts and technologies.
SQL: Strong SQL skills
for data querying and manipulation.
Programming Languages:
Proficiency in programming languages like Python or Java.
Data Modeling: Understanding of data modeling principles and techniques.
ETL Processes: Experience with ETL (Extract, Transform, Load)
processes and tools.
Data Security: Knowledge of data security best practices and compliance requirements.
Problem-Solving: Strong problem-solving and analytical skills.
Communication: Excellent communication and collaboration skills.
Good
communication skills, team spirit and attitude to learn new technologies
Contributes to the technical design for development projects by reviewing and understanding the high level functional specifications.
#J-18808-Ljbffr
AWS Data Engineer
for
Long term
project in
Newark, New Jersey
below is the detailed requirements.
Job Title : AWS Data Engineer
Location :
Newark, New Jersey
Duration : Long term
Bachelor's degree in Computer science or equivalent, with
minimum 10 -12+ Years of IT experience.
Design, build, and maintains data processing systems and pipelines on the
AWS cloud platform utilizing AWS services like S3, Redshift, DMS, and Glue like to construct scalable, reliable, and efficient data solutions. Responsibilities include data modeling, ETL processes, and ensuring data quality and security.
Must have a
Data Architecture and Infrastructure:
Design, implement, and maintain data pipelines, data warehouses, and other data solutions using AWS services.
ETL Processes:
Develop and implement
ETL (Extract, Transform, Load) processes for data extraction, transformation, and loading into data storage systems.
Data Modeling: Create and manage
data models to ensure data integrity and facilitate efficient data analysis.
Data Security and Compliance: Implement and maintain data security and compliance measures,
including access controls, encryption, and data masking.
Data Quality: Ensure data quality, accuracy, and consistency through data validation, cleansing, and monitoring .
Collaboration: Collaborate
with
data scientists, business analysts , SAP functional SMEs and other stakeholders to understand requirements and deliver data solutions that meet business needs.
Troubleshooting: Diagnose and resolve data-related issues and performance bottlenecks.
Keep up with the latest
AWS services and data engineering best practices.
AWS Services: Proficiency
in AWS services such as S3, Redshift, DMS, Glue, and Lambda.
Data Warehousing: Experience with data warehousing concepts and technologies.
SQL: Strong SQL skills
for data querying and manipulation.
Programming Languages:
Proficiency in programming languages like Python or Java.
Data Modeling: Understanding of data modeling principles and techniques.
ETL Processes: Experience with ETL (Extract, Transform, Load)
processes and tools.
Data Security: Knowledge of data security best practices and compliance requirements.
Problem-Solving: Strong problem-solving and analytical skills.
Communication: Excellent communication and collaboration skills.
Good
communication skills, team spirit and attitude to learn new technologies
Contributes to the technical design for development projects by reviewing and understanding the high level functional specifications.
#J-18808-Ljbffr