Data Engineer at Accenture

Indore, Madhya Pradesh, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

N/AIndustries

Requirements

Minimum 5 years of experience (minimum 3 years in PySpark)
Proficiency in PySpark (must-have skill)
Strong understanding of data pipeline architecture and design
Experience with ETL processes and data integration techniques
Familiarity with data quality frameworks and best practices
Knowledge of cloud platforms and their data services
15 years full-time education

Responsibilities

Design, develop, and maintain data solutions for data generation, collection, and processing
Create data pipelines
Ensure data quality
Implement ETL processes to migrate and deploy data across systems
Perform independently and become a subject matter expert (SME)
Actively participate and contribute in team discussions
Contribute to providing solutions to work-related problems
Assist in the optimization of data processing workflows to enhance efficiency
Engage in continuous learning to stay updated with the latest data engineering practices
Collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs

Skills

PySpark

ETL

Data Pipelines

Data Quality Frameworks

Data Integration

Cloud Platforms

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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