AWS Data Engineer - W2 Position

San Francisco, CA, US • Posted 6 hours ago • Updated 6 hours ago
Full Time
Travel Required
On-site
$65/hr
Fitment

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Job Details

Skills

  • Amazon Kinesis
  • Amazon RDS
  • Amazon Redshift
  • Amazon S3
  • Amazon Web Services
  • Analytics
  • Apache Kafka
  • Apache Spark
  • Cloud Computing
  • Dashboard
  • Continuous Integration and Development
  • Data Lake
  • Data Modeling
  • Data Processing
  • Data Security
  • Data Storage
  • Electronic Health Record (EHR)
  • Orchestration
  • Python
  • SQL
  • Regulatory Compliance
  • Extract, Transform, Load
  • Terraform
  • Scala
  • STE

Summary

Only on W2

 

The following requirement is open with our client. 

Client                                     : TCS

Title                                       : AWS Data Engineer

Location                               : San Francisco. CA

Duration                              : 12 Months

Rate                                       : $65/hr on W2

Relevant Experience      :

 

Detailed Job Description:

We are seeking a skilled AWS Data Engineer to design, build, and manage scalable cloud-based data platforms and pipelines. The ideal candidate will have strong experience in AWS data services, distributed data processing, and infrastructure automation.

Job Responsibilities:

·         Design and manage AWS-based data infrastructure using services such as S3, Glue, EMR, Redshift, Athena, Lambda, Kinesis and RDS.

·         Build and maintain scalable, fault-tolerant data pipelines (batch and streaming) Implement Infrastructure as Code (IaC) using Terraform Cloud Formation.

·         Optimize data storage, compute and query performance for cost and efficiency.

·         Ensure data security, governance and compliance (IAM, encryption, VPC, logging).

·         Design and implement monitoring, alerting and observability for data platforms and pipelines.

·         Integrate and manage monitoring tools such as Datadog, Prometheus, Grafana, Cloud Watch Create dashboards, alerts and SLIs SLOs to ensure pipeline reliability and performance.

·         Collaborate with data engineers, analysts and platform teams to support analytics use case.

·         Automate deployments, scaling and operational tasks via CICD pipelines.

·         Participate in architecture reviews and recommend best practices for AWS data platforms.

·         Proficiency in Python SQL (Scala optional) Solid understanding of data modelling, ETLELT and distributed systems.

·         Experience with Apache Spark, EMR, Kafka.

·         Hands on with AWS Kendra would be good.

·         Experience with Data Lake.

·         Familiarity with Airflow, Step Functions or other orchestration tools.

 Must Have Skills:

AWS Data Lake (S3), Terraform IaC, EMR Spark Clusters, AWS Glue ETL, Redshift / Athena, Kinesis Streaming, Airflow Orchestration, Datadog Observability.

 

Thanks and Regards, 

Goutham Eluri

Technical Recruiter 

ASCII Group LLC. 

38345 W. 10 Mile Rd, Ste.#365; Farmington, MI  48335 

Office:

Email:  Website:  

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10117479
  • Position Id: 8906778
  • Posted 6 hours ago
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