Data Engineer

Careernet

5 - 9 years

25 - 27 Lacs

pune

Posted:1 day ago| Platform:

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Skills Required

aws lambda pyspark dynamodb aws python nosql redshift

Work Mode

Hybrid

Job Type

Full Time

Job Description

Key Skills:

Roles and Responsibilities:

Design, develop, and maintain scalable data pipelines using Pyspark and AWS services.
Implement and manage data storage solutions using AWS Redshift and DynamoDB.
Utilize AWS Lambda for serverless data processing and automation tasks.
Ensure data quality and integrity through rigorous testing and validation processes.
Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
Monitor and optimize data workflows for performance and cost efficiency.
Stay updated with the latest industry trends and technologies related to data engineering and AWS services.

Skills Required:

Proficiency in Pyspark for building data pipelines (Must-Have)
Strong experience with AWS services including Lambda, Redshift, and DynamoDB (Must-Have)
Solid coding skills in Python (Must-Have)
Understanding of data modeling, data validation, and pipeline optimization
Knowledge of NoSQL technologies (Nice-to-Have)
Familiarity with cloud cost optimization and performance tuning
Strong analytical thinking, problem-solving, and team collaboration skills

Education:

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