Aws Data Engineer

Sparshcorp Support Solutions

5 - 10 years

11 - 20 Lacs

Hyderabad

Posted:6 hours ago| Platform:

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Skills Required

Pyspark AWS Data Bricks Python SQL

Work Mode

Work from Office

Job Type

Full Time

Job Description

Mandatory skills AWS,Python,Pyspark,SQL,Databricks Role & responsibilities Design, develop, and maintain robust and scalable data pipelines using AWS services and Databricks. Implement data processing solutions using PySpark and SQL to handle large volumes of data efficiently. Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs. Ensure data quality and integrity through rigorous testing and validation processes. Optimize data workflows for performance and cost-efficiency. Document data processes and provide support for data-related issues. Preferred candidate profile AWS Services: Proficiency in AWS services such as S3, EC2, Lambda, and Redshift. Programming: Strong experience in Python for data manipulation and scripting. Big Data Processing: Hands-on experience with PySpark for distributed data processing. SQL: Expertise in writing complex SQL queries for data extraction and transformation. Databricks: Experience in developing and managing workflows in Databricks environment.

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Sparshcorp Support Solutions

www.sparshcorp.com

IT Services and Consulting

N/A

51-200 Employees

8 Jobs

Key People

Nitin Sharma

Founder & CEO
Priya Verma

Chief Operations Officer
Rahul Gupta

Chief Technology Officer

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Aws Data Engineer