AWS data engineering with experience of s3, lambda, boto3, serverless emr , serverless redshift , pyspark , step functions

₹400-750 INR / hour

Closed

Posted

10 months ago

₹400-750 INR / hour

I am looking for an experienced AWS data engineer who can assist me with Serverless Redshift and PySpark. I do not need help with setting up a system of automation, but I may require assistance with running analytics on the data. The ideal candidate should have experience with the following: - Serverless Redshift - PySpark Skills and experience required for this project: - Strong knowledge of AWS services, particularly Serverless Redshift and PySpark - Experience in data engineering and analytics - Familiarity with S3, Lambda, Boto3, and step functions would be a plus - Ability to work independently and efficiently - Excellent problem-solving and communication skills Working time = 8:30 PM EST to 10:30 PM EST (6 AM IST to 8 AM IST) Duration = 3 to 6 months

Project ID: 36966740

About the project

4 proposals

Remote project

Active 9 mos ago

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4 freelancers are bidding on average ₹990 INR/hour for this job

@patilpk153

Experienced data Engineer with expertise in AWS services mentioned, can work as per requirements.

₹810 INR in 20 days

5.0

(9 reviews)

4.6

@Hezbullahkhan01

I understand that you are looking for an experienced AWS data engineer who can assist you with Serverless Redshift and PySpark. I have extensive knowledge in data engineering and analytics that would be perfect for this project. I have experience in data engineering and analytics which would be great for this project. I am available 8:30 PM EST to 10:30 PM EST (6 AM IST to 8 AM IST) for the duration of 3 to 6 months. My skills include strong knowledge of AWS services such as Serverless Redshift and PySpark as well as experience in data engineering and analytics. I believe I would be the best fit for this project due to my extensive experience in data engineering and analytics as well as familiarity with S3, Lambda, Boto3 and step functions.

₹575 INR in 40 days