채용
Required Skills
Databricks
Python
PySpark
AWS
Project Role: Custom Software Engineer
Project Role Description: Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills: Databricks Unified Data Analytics Platform
Good to have skills: Python (Programming Language), Generative AI
Minimum 5 year(s) of experience is required
Educational Qualification: 15 years full time education
Summary:
As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, manage project timelines, and contribute to the overall success of application development initiatives.
Responsibilities:
- Design and develop advanced ingestion pipelines for multiple enterprise data sources using AWS services.
- Architect and implement RAG data processing components (chunking, embeddings, vector storage) for optimal retrieval.
- Lead development of secure, scalable APIs and microservices powering the enterprise chatbot solution.
- Review code, enforce best practices, and mentor mid-level engineers on architecture and performance optimization.
- Collaborate with product and architecture teams to define technical roadmaps and integration strategies.
- Contribute to DevOps automation: Terraform-based infrastructure, Jenkins pipelines, and deployment governance.
- Monitor and optimize cloud resources for cost and performance efficiency across environments.
Requirements:
- 6–9 years of experience in software/data engineering with increasing technical ownership.
- Expert-level Python programming and deep understanding of AWS serverless architecture and data services.
- Hands-on experience with Databricks (PySpark, SQL) and working with large-scale enterprise datasets.
- Strong grasp of RAG models, embeddings, and vector database design (e.g., pgvector, Pinecone, Open Search, or equivalent).
- Proven experience with CI/CD, Terraform, Jenkins, and cloud-native deployment practices.
- Ability to mentor teams, conduct reviews, and influence technical decisions.
- Relevant AWS, Databricks, or AI/ML certifications preferred.
Additional Information:
- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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About Accenture

Accenture
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10,001+
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Headquarters
Reviews
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Work Life Balance
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Management
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Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$63,830
total / year
Base
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Stock
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Bonus
$6,383
$44,681
$82,979
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
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