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Data Engineer | Location - PA |Vanguard | $55/hr on C2C Max at Max, North Dakota, USA
Email: [email protected]
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From: [email protected] <[email protected]> on behalf of Avnish Naagar <[email protected]>

Sent: Monday, November 20, 2023 9:41 AM

To: Avnish Naagar <[email protected]>

Subject: Data Engineer | Location - PA |Vanguard | $55/hr on C2C Max

Job description

Role : Data Engineer

Location : Location - PA - 3 days onsite

Duration : Long Term

Mode of interview : Video

Visa : NO OPT/CPT

Rate : $55/hr on C2C Max

Responsibilities:-

The person on this role will play a crucial role in building scalable and cost-effective data pipelines, data lakes, and analytics systems for Vanguard.

Data Ingestion: Implement data ingestion processes to collect data from various sources, including databases, streaming data, and external APIs.

Data Transformation: Develop ETL (Extract, Transform, Load) processes to transform and cleanse raw data into a structured and usable format for analysis.

Data Storage: Manage and optimize data storage solutions, including Amazon S3, Redshift, and other AWS storage services.

Data Processing: Utilize AWS services like AWS Glue, Amazon EMR, and AWS Lambda to process and analyze large datasets.

Data Monitoring and Optimization: Continuously monitor and optimize data pipelines and infrastructure for performance, cost-efficiency, and scalability.

Integration: Collaborate with data scientists, analysts, and other stakeholders to integrate AWS-based solutions into data analytics and reporting platforms.

Documentation: Maintain thorough documentation of data engineering processes, data flows, and system configurations.

Scalability: Design AWS-based solutions that can scale to accommodate growing data volumes and changing business requirements.

Cost Management: Implement cost-effective solutions by optimizing resource usage and recommending cost-saving measures.

Troubleshooting: Diagnose and resolve AWS-related issues to minimize downtime and disruptions.

Qualifications Educational Background:

A bachelor's degree in computer science, information technology, or a related field is typically required.

A master's degree is preferred with GPA of 3.8+

AWS Certifications: AWS certifications like AWS Certified Data Analytics - Specialty or AWS Certified Big Data - Specialty are highly beneficial.

Programming Skills: Proficiency in programming languages such as Python, Java, or Scala for data processing and scripting. Shell scripting and Linux knowledge would be preferred.

Database Expertise: Strong knowledge of AWS database services like Amazon Redshift, Amazon RDS, and NoSQL databases.

ETL Tools: Experience with AWS Glue or other ETL tools for data transformation.

Version Control: Proficiency in version control systems like Git.

Problem-Solving: Strong analytical and problem-solving skills to address complex data engineering challenges.

Communication Skills: Effective communication and collaboration skills to work with cross-functional teams. Knowledge of Machine learning concepts would be good to have.

Warm Regards

Avnish Naagar

[email protected]

SGI Inc..

Address: 20130 Lakeview Center Plaza, Suite 400, Ashburn,

Virginia 
20147 

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Keywords: quality analyst business analyst user interface user experience javascript access management business intelligence sthree information technology green card Arkansas California Florida Georgia Illinois Kentucky Michigan New Jersey North Carolina Pennsylvania Texas Virginia Wisconsin
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Mon Nov 20 21:03:00 UTC 2023

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