S&C Global Network - AI - Song - Marketing Platform-Consultant

Posted:
11/11/2025, 6:14:40 PM

Location(s):
Chennai, Tamil Nadu, India ⋅ Tamil Nadu, India

Experience Level(s):
Senior

Field(s):
Data & Analytics

Accenture Applied Intelligence practice help our clients grow their business in entirely new ways.  Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition

As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.

Analyst/Consultant in Applied Intelligence

A Data Engineering Analyst or Consultant professional ensures the reliability, scalability, and efficiency of data pipelines and platforms, enabling teams to deliver actionable insights and AI/ML solutions. This role combines hands-on development, automation, and monitoring, translating business and data requirements into robust, production-ready data architectures while mentoring team members and enforcing best practices.

Duties and Responsibilities:

  • Work across all phases of data projects:
    • Define infrastructure, data requirements, and operational standards aligned with business goals in the marketing practice
    • Build, maintain, and optimize ETL/ELT pipelines, batch and streaming workflows, and data transformation processes.
    • Implement CI/CD for data pipelines, automate deployments, and ensure operational reliability and observability.
    • Collaborate with data science, analytics, and product teams to provision data for ML/AI workloads, including feature stores and vector databases.
    • Monitor and troubleshoot pipeline performance, storage, compute costs, and SLAs.
  • Partner with managers and leadership to convert infrastructure and operational insights into actionable recommendations.
  • Lead small project pods, mentor team members, review code, enforce standards, and drive process improvements.
  • Contribute to internal frameworks, runbooks, templates, and knowledge assets.
  • Ensure data security, compliance, and governance practices are followed across pipelines and deployments.

  • Educational Background/qualifications

  • B Tech/M Tech from reputed engineering colleges
  • Master’s in Computer Science, Information Systems, or related field
  • Requirements:

  • 1–8 years of experience in data engineering, DevOps, or cloud infrastructure
  • Strong skills in Python/Scala/SQL, Spark, and ETL/ELT workflows.
  • Experience with CI/CD tools, orchestration frameworks (Airflow, ADF), and containerization (Docker/Kubernetes).
  • Familiarity with cloud platforms (AWS, Azure, GCP), data lakes/warehouses (Snowflake, BigQuery, Redshift), and streaming technologies (Kafka, Kinesis).
  • Knowledge of data quality, lineage, monitoring, cost optimization, and security best practices.
  • Team leading experience will be a plus
  • Soft Skills

  • Strong analytical thinking and attention to detail.
  • Clear, concise communication and ability to present operational insights effectively.
  • Collaborative team player with a proactive and problem-solving mindset.
  • Ownership, prioritization, and focus on reliable, production-ready solutions.
  • Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

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.

Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing