Capgemini

AWS DATA ENGINEER | 4 to 12 YEARS | PAN INDIA

Posted On

May 5, 2025

Location

Hyderabad, Telangana

Experience Level

Experienced Professionals

Job Type

Permanent

Apply By

July 2, 2025

Job Description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Your Role

As a senior software engineer with Capgemini, you should have 4 + years of experience in AWS Data Engineer with strong project track record

In this role you will play a key role in:

Strong customer orientation, decision making, problem solving, communication and presentation skills
Very good judgement skills and ability to shape compelling solutions and solve unstructured problems with assumptions
Very good collaboration skills and ability to interact with multi-cultural and multi-functional teams spread across geographies
Strong executive presence and spirit
Superb leadership and team building skills with ability to build consensus and achieve goals through collaboration rather than direct line authority

Your Profile

2+ year of experience working on AWS Cloud platform with strong experience in Python Knowledge on AWS services such as –

AWS S3, Glue, API Gateway, Crawler, Athena, , Lambda, Dynamic DB, Redshift is an advantage
Experience/knowledge with streaming technologies is must preferably Kafka
Should have knowledge/experience with SQL
Familiar working on Linux platforms
Have good understanding on pro’s and con’s and the cost impact of the AWS services being leveraged
Good Communication skills.

Skills (competencies)

Ab Initio

Agile (Software Development Framework)

Apache Hadoop

AWS Airflow

AWS Athena

AWS Code Pipeline

AWS EFS

AWS EMR

AWS Redshift

AWS S3

Azure ADLS Gen2

Azure Data Factory

Azure Data Lake Storage

Azure Databricks

Azure Event Hub

Azure Stream Analytics

Azure Sunapse

Bitbucket

Change Management

Client Centricity

Collaboration

Continuous Integration and Continuous Delivery (CI/CD)

Data Architecture Patterns

Data Format Analysis

Data Governance

Data Modeling

Data Validation

Data Vault Modeling

Database Schema Design

Decision-Making

DevOps

Dimensional Modeling

GCP Big Table

GCP BigQuery

GCP Cloud Storage

GCP DataFlow

GCP DataProc

Git

Google Big Tabel

Google Data Proc

Greenplum

HQL

IBM Data Stage

IBM DB2

Industry Standard Data Modeling (FSLDM)

Industry Standard Data Modeling (IBM FSDM))

Influencing

Informatica IICS

Inmon methodology

JavaScript

Jenkins

Kimball

Linux - Redhat

Negotiation

Netezza

NewSQL

Oracle Exadata

Performance Tuning

Perl

Platform Update Management

Project Management

PySpark

Python

RDD Optimization

SantOs

SaS

Scala Spark

Shell Script

Snowflake

SPARK

SPARK Code Optimization

SQL

Stakeholder Management

Sun Solaris

Synapse

Talend

Teradata

Time Management

Ubuntu

Vendor Management

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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