Data Engineer at Accenture

Cebu City, Central Visayas, Philippines

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data AnalyticsIndustries

Requirements

Overall IT experience: 7+ years
Data Modeling experience: 3+ years
Experience in Dimensional Modeling and/or 3-NF modeling/No-SQL DB modeling
Experience on at least one Cloud DB Design work
Conversant with Modern Data Platform
Work experience on data transformation and analytic projects, with understanding of DWH
Instrumental in DB design through all stages of Data Modeling
Experience in at least one leading Data Modeling Tool (e.g., Erwin, ER Studio or equivalent)
Educational Qualification: B.E. or B.Tech. (must)
Strong requirement analysis and technical solutioning skills in Data and Analytics
Excellent writing, communication, and presentation skills
Eagerness to learn new skills and develop self on an ongoing basis
Good client facing and interpersonal skills
Familiar with Data Architecture Principles

Responsibilities

Design, develop, and maintain data solutions for data generation, collection, and processing
Create data pipelines
Ensure data quality
Implement ETL (extract, transform, and load) processes to migrate and deploy data across systems
Drive discussions with client teams to understand business requirements and develop Data Models that fit the requirements
Drive Discovery activities and design workshops with client and support design discussions
Create Data Modeling deliverables and get sign-off
Develop the solution blueprint and scoping, and do estimation for delivery project

Skills

Key technologies and capabilities for this role

Data ModelingDimensional Modeling3-NF ModelingNo-SQL DB ModelingCloud DB DesignModern Data PlatformData TransformationDWHErwinER StudioData Vault ModelingGraph DatabaseData LakeCloud Data EngineeringData Architecture

Questions & Answers

Common questions about this position

What experience level is required for this Data Engineer role?

The role requires 7+ years of overall IT experience, including 3+ years in Data Modeling.

What are the must-have technical skills for this position?

Must-have skills include data modeling in Dimensional Modeling and/or 3-NF modeling/No-SQL DB modeling, experience on at least one Cloud DB Design, conversance with Modern Data Platform, work on data transformation and analytic projects with DWH understanding, instrumental DB design through all stages, and experience in tools like Erwin or ER Studio.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or what is the location policy?

This information is not specified in the job description.

What soft skills or professional qualities are important for this role?

Strong requirement analysis and technical solutioning skills in Data and Analytics, excellent writing, communication and presentation skills, eagerness to learn new skills, and good client facing and interpersonal skills are required.

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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