Hiring for Data Engineer @ Harrisburg, PA (Onsite) // Local Only

Greeting,
 
We have the below requirement with our Client. Kindly go through the JD below and let me know your interest.

Role: Data Engineer
Location: Harrisburg, PA - Local Only
Duration: Long Term
 
Need USC, H1B, H4EAD and L2EAD candidates only.
 
LinkedIn & Passport Number Must for Submission

Rate: 52/hr

JOB DESCRIPTION
  • As an AWS Redshift Data Engineer, the primary responsibility is to design, implement, and maintain data solutions using Amazon Redshift.
  • Your role involves working with large-scale data sets, optimizing performance, and ensuring the reliability and availability of the Redshift environment.
  • Here is a general job description for an AWS Redshift Data Engineer
  • Data Modeling and Design: Develop and maintain data models for Redshift databases, including schema design, table structures, and optimization techniques.
  • Collaborate with data architects and stakeholders to understand requirements and translate them into efficient data structures.
  • ETL Development: Design and implement Extract, Transform, Load (ETL) processes to extract data from various sources, transform it as per business requirements, and load it into Redshift.
  • Develop efficient and scalable ETL workflows, considering data quality, performance, and data governance.
  • Performance Optimization: Optimize query performance by creating appropriate data distribution keys, sort keys, and compression techniques.
  • Identify and resolve performance bottlenecks, fine-tuning queries, and optimizing data processing to enhance Redshift's performance.
  • Data Integration: Integrate Redshift with other AWS services, such as AWS Glue, AWS Lambda, Amazon S3, and more, to build end-to-end data pipelines.
  • Ensure seamless data flow between different systems and platforms, maintaining data integrity and consistency.
  • Monitoring and Troubleshooting: Implement monitoring and alerting systems to proactively identify issues and ensure the stability and availability of the Redshift cluster.
  • Perform troubleshooting, diagnose and resolve data-related issues, and work closely with support teams to resolve any performance or operational problems.
  • Security and Compliance: Implement security best practices to protect data stored in Redshift.
  • Ensure compliance with data privacy regulations and industry standards, such as GDPR and HIPAA. Implement encryption, access controls, and data masking techniques to secure sensitive data.
  • Documentation and Collaboration: Maintain documentation of data models, ETL processes, and system configurations.
  • Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and provide data solutions that meet their needs.
  • Scalability and Capacity Planning: Plan and execute strategies for scaling Redshift clusters to handle increasing data volumes and user demands.
  • Monitor resource utilization, track data growth, and make recommendations for capacity planning and infrastructure scaling.
  • Knowledge or previous experience in oracle PLSQL will be added advantage



Thanks & Regards
Mohd Taher
 
 

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