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AWS Data Engineer - F2F Interview (30th August)

AWS Data Engineer - F2F Interview (30th August)

5 - 10 years

12 - 22 Lacs

hyderabad

Posted:3 weeks ago| Platform:

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Skills Required

pyspark aws aws data engineer python s glue lamda spark emr etl sql

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities

We are seeking a highly skilled and motivated Hands on AWS Data Engineer with 5-10 years of experience in AWS Glue, Pyspark ,AWS Redshift, S3, and Python to join our dynamic team. As a Data Engineer, you will be responsible for designing, developing, and optimizing data pipelines and solutions that support business intelligence, analytics, and large-scale data processing.

Mode of interview - Face to Face interview

Date - 30/08/2025

Location - Hyderabad

Preferred candidate profile

Must have Strong experience in AWS Data Services like Glue , Lambda, Even bridge, Kinesis, S3/ EMR , Redshift , RDS, Step functions, Airflow & Pyspark
Should have expertise in Data design, STTM, understanding of Data models , Data component design, Automated testing, Code Coverage, UAT support , Deployment and go live
Experience with version control systems like SVN, Git.
Create and manage AWS Glue crawlers and jobs to automate data cataloging and ingestion processes across various structured and unstructured data sources.
Strong experience with AWS Glue building ETL pipelines, managing crawlers, and working with Glue data catalogue.
Proficiency in AWS Redshift designing and managing Redshift clusters, writing complex SQL queries, and optimizing query performance.
Enable data consumption from reporting and analytics business applications using AWS services (ex: QuickSight, Sagemaker, JDBC / ODBC connectivity, etc.)

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AWS Data Engineer - F2F Interview (30th August)