Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : PySpark
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Technology Specialist, you will lead the technical design, development, and deployment of data engineering, machine learning, and knowledge graph solutions. You will manage tech teams, work closely with stakeholders, and build intelligent data platforms and AI-driven applications.
Roles & Responsibilities:
Technical Leadership: Act as a Subject Matter Expert (SME) in Data, ML, and Knowledge Graphs. Lead technical teams, make key architectural decisions, and guide project direction.
Data Pipelines: Design and build large-scale data pipelines, enterprise data lakes/lake houses, and real-time streaming platforms.
Knowledge Graphs & AI: Build Knowledge Graph solutions, ontologies, and semantic models. Integrate Knowledge Graphs with Large Language Models (LLMs) and Graph RAG applications.
ML Deployment: Develop and deploy machine learning models into production using ML Ops best practices.
Governance & Operations: Set standards for data governance, metadata management, code quality, and smooth CI/CD (Data Ops/ML Ops) workflows.
Mentorship: Guide, mentor, and upskill team members while managing technical project risks.
Professional & Technical Skills:
Strong expertise in PySpark, Apache Spark, and Databricks.
Machine Learning experience using Python, TensorFlow, PyTorch, or Scikit-learn.
Hands-on experience with Knowledge Graphs and Graph Databases (e.g., AWS Neptune, Neo4j, Stardog) using RDF, OWL, and SPARQL.
Experience with Generative AI, LLMs, and GraphRAG integration.
Proficiency in SQL, NoSQL databases, and building batch/streaming pipelines.
Cloud experience with at least one platform: Azure, AWS, or GCP.
Good to Have:
Microsoft Fabric, Azure Synapse, or Azure ML.
Vector databases, LangChain, or Semantic Kernel.
MLflow or Kubeflow.
Additional Information:
Overall IT Experience: 10+ years.
PySpark / Data Engineering: 5+ years.
Machine Learning / AI: 3+ years.
Knowledge Graphs: 2+ years.
Education: 15 years of full-time education.
Job Location: Bengaluru, India.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.
Skills Required
- Strong expertise in PySpark
- Experience with Apache Spark
- Experience with Databricks
- Machine learning experience using Python and frameworks (TensorFlow, PyTorch, or Scikit-learn)
- Design and build large-scale data pipelines, batch and streaming
- Hands-on experience with Knowledge Graphs and graph databases (RDF, OWL, SPARQL; AWS Neptune, Neo4j, Stardog)
- Experience integrating Knowledge Graphs with LLMs/Generative AI and GraphRAG solutions
- Proficiency in SQL and NoSQL databases
- Cloud experience with at least one: Azure, AWS, or GCP
- Experience deploying ML models to production using MLOps best practices
- Minimum 5 years relevant experience (PySpark / Data Engineering: 5+ years)
- Overall IT experience of 10+ years
- Machine Learning / AI experience: 3+ years
- Knowledge Graphs experience: 2+ years
- 15 years full-time education
- Experience in technical leadership, architecture, and mentoring teams
- Microsoft Fabric
- Azure Synapse
- Azure ML
- Vector databases
- LangChain or Semantic Kernel
- MLflow or Kubeflow
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
Accenture Insights
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
