Data Engineer at Accenture

Pune, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

Minimum 12 year(s) of experience (additional note: minimum 7 years in Snowflake Data Warehouse)
15 years full time education
Proficiency in Snowflake Data Warehouse (must have)
Hands-on experience with Snowflake streams, tasks, Snowpipe, stored procedures, writing complex SQLs, and Python scripts
SQL and Python programming skills (highly desired; Python proficiency is an added advantage)
Good understanding of AWS services such as AWS Lambda, AWS Glue, and AWS S3 (good to have)
Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks
Ability to align AI capabilities with business objectives, ensuring scalability, responsible use, and value realization

Responsibilities

Perform independently and become a Subject Matter Expert (SME)
Lead AI-driven solution design and delivery using GenAI and Agentic AI to address business challenges, automate processes, and integrate insights into workflows
Collaborate with data analysts, business intelligence analysts, and stakeholders to understand data needs and requirements
Design and implement data warehousing solutions for efficient data analysis and reporting
Design, develop, and maintain data infrastructure, databases, and data pipelines
Develop and implement ETL processes to extract, transform, and load data from/to various sources/targets
Implement and manage data security and access controls to protect data privacy and confidentiality
Design, develop, and maintain data solutions for data generation, collection, and processing
Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems

Skills

Snowflake

Data Warehouse

ETL

Data Pipelines

Generative AI

Agentic AI

Data Engineering

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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