Data Engineer - GCP at DXC Technology

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Experience in data engineering, data modelling, and reporting using GCP tools such as Big Query, Dataflow, and Looker (preferred)
Experience with equivalent tools and technologies on AWS or Azure is also acceptable
High proficiency in Python and SQL
Strong experience in Python and SQL, with exposure to GCP preferred but AWS or Azure experience also acceptable
Good knowledge in ETL orchestration, CI/CD, and version control using GitHub

Responsibilities

(No specific responsibilities listed in the job description.)

Skills

Key technologies and capabilities for this role

GCPBigQueryDataflowLookerPythonSQLETLCI/CDGitHubAWSAzureData Modelling

Questions & Answers

Common questions about this position

What are the required technical skills for this Data Engineer role?

Strong experience in Python and SQL is required, with exposure to GCP tools like Big Query, Dataflow, and Looker preferred; AWS or Azure experience is also acceptable. Data engineers need good knowledge in ETL orchestration, CI/CD, and version control using GitHub.

What is the work location for this position?

The job is located in Hyderabad, Bangalore, Chennai, Noida, Gurgaon, Pune, Indore, Mumbai, or Kolkata.

What is the company culture like at DXC Technology?

DXC Technology believes strong connections and community are key to success, prioritizing in-person collaboration with flexibility to support wellbeing, productivity, individual work styles, and life circumstances while fostering an inclusive environment.

Is this a remote position?

The work model prioritizes in-person collaboration while offering flexibility, but specific remote policy details are not fully specified.

What experience makes a strong candidate for this role?

Candidates with experience in data engineering, data modelling, and reporting using GCP tools such as Big Query, Dataflow, and Looker are preferred, along with high proficiency in Python and SQL, ETL orchestration, CI/CD, and GitHub.

DXC Technology

IT services for enterprise modernization and management

About DXC Technology

DXC Technology provides IT services to large enterprises, focusing on modernizing their critical systems and operations. The company uses the Enterprise Technology Stack to enhance IT infrastructure, optimize data architectures, and ensure security across various cloud environments, including public, private, and hybrid. DXC operates on a contractual basis, offering consulting, system integration, and managed services to help clients improve their IT operations. What sets DXC apart from competitors is its strong commitment to innovation, sustainability, and corporate responsibility, which has earned it recognition as one of the Most Responsible Companies. The goal of DXC Technology is to be a trusted partner for enterprises, helping them achieve scalable and secure IT solutions while promoting inclusion and diversity within its workforce.

McLean, VirginiaHeadquarters

2017Year Founded

$14.6MTotal Funding

IPOCompany Stage

Consulting, Enterprise SoftwareIndustries

10,001+Employees

Risks

Emerging IT service providers offer cost-effective solutions, threatening DXC's market share.

Rapid technological changes may outpace DXC's innovation, risking service obsolescence.

Economic downturns could reduce IT spending, impacting DXC's long-term contract revenue.

Differentiation

DXC Technology is a Fortune 500 global IT services leader.

The company specializes in modernizing mission-critical systems for large enterprises.

DXC's Enterprise Technology Stack ensures security and scalability across cloud environments.

Upsides

DXC is recognized as a leader in the 2024 Magic Quadrant for Outsourced Digital Workplace Services.

The Quercus AI platform collaboration with Ferrovial and Microsoft enhances DXC's innovation capabilities.

DXC's role in transforming Italy's healthcare sector showcases its expertise in digital transformation.

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