Python Data Engineer at Accenture

Quatre Bornes Town, Plaine Wilhems, Mauritius

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field
At least 2 years of professional experience as a Data Engineer or in a similar role
Priority Skills: Python, PySpark, Datalake
Required Skills: Technologies - Azure Cloud (Azure Kubernetes, Docker, ADLS Gen2, KeyVault, any DBMS) or equivalent on Amazon or Google Cloud
Required Skills: DevOps - Experience with CI/CD, Github
Required Skills: Additional Tools - Familiarity with JupyterHub, Hive
Required Skills: Soft Skills - Demonstrated ability to work in an Agile environment, autonomous, and proactive
Comprehensive understanding of the required technical skills for the position
Ability to work in a team and communicate effectively with team members

Responsibilities

Develop and implement comprehensive data solutions to establish new data processing flows on various platforms, including the Azure cloud
Develop and deploy efficient and reliable data pipelines
Maintain and/or evolve existing solutions to meet changing dynamic business requirements
Collaborate with cross-functional teams to understand data needs and deliver effective data solutions
Ensure data quality and integrity throughout the data lifecycle
Troubleshoot and resolve data-related issues in a timely manner

Skills

Key technologies and capabilities for this role

PythonPySparkAzureKubernetesDockerADLS Gen2KeyVaultCI/CDGitHubJupyterHubHiveAWSGoogle Cloud

Questions & Answers

Common questions about this position

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

The priority skills are Python, PySpark, and Datalake.

What technical skills are required for this position?

Required skills include Azure Cloud (Azure Kubernetes, Docker, ADLS Gen2, KeyVault, any DBMS) or equivalent on Amazon or Google Cloud, DevOps experience with CI/CD and Github, and familiarity with JupyterHub and Hive. Soft skills include working in an Agile environment, being autonomous, and proactive.

What benefits does Accenture offer for this role?

Benefits include a competitive salary and benefits package, opportunities for continuous learning and professional growth, a collaborative and inclusive work environment, exposure to cutting-edge technologies and innovative projects, and supportive leadership and career development programs.

What is the company culture like at Accenture?

Accenture fosters a collaborative and inclusive work environment that is dynamic, innovative, and free from bias, where everyone feels a sense of belonging and is empowered to do their best work. They support well-being holistically and emphasize innovation thriving in a diverse environment.

What are the educational and experience requirements for this job?

Candidates need a Bachelor’s degree in Computer Science, Software Engineering, or a related field, and at least 2 years of professional experience as a Data Engineer or in a similar role.

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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