Data Engineer

Reposted 3 Days Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Information Technology
The Role
Design and maintain scalable data solutions, pipelines, ETL processes, and cloud-native applications on SAP BTP and Databricks. Build AI, LLM, RAG, and agentic features; prepare datasets with embeddings and vector search; implement ML services, CI/CD, observability, security, and performance optimization. Collaborate with customers and cross-functional teams to deliver multi-tenant solutions, troubleshoot workloads, and ensure reliability, efficiency, and SLA compliance.
Summary Generated by Built In
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. The role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. Daily activities include implementing processes to extract, transform, and load data across various systems, enabling seamless data migration and deployment. Collaboration with different teams to align data strategies and troubleshoot data-related challenges is also a key part of the work, ensuring that data infrastructure supports organizational needs effectively and reliably.

Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead efforts to optimize data workflows and improve system performance.
- Mentor junior team members to enhance their technical skills and project contributions.
- Coordinate cross-functional initiatives to align data engineering practices with business objectives.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Experience with designing and implementing scalable data pipelines and ETL processes.
- Strong knowledge of data storage solutions and database management systems.
- Familiarity with cloud-based data platforms and distributed computing frameworks.
- Ability to troubleshoot and optimize data workflows for performance and reliability.
- Understanding of data governance and data quality best practices.

Additional Information:
- The candidate should have minimum 7.5 years of experience in Data Engineering.
- 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.

Skills Required

  • Minimum 7.5 years of experience in data engineering or machine learning
  • 15 years of full-time education
  • Data engineering experience
  • 5–10 years of software engineering experience in cloud, enterprise, or SaaS environments
  • Experience designing cloud-based data storage, processing, warehousing, real-time streaming, and serverless solutions
  • Experience with Python and machine learning technologies
  • Hands-on experience with LLMs, RAG, and agentic frameworks such as LangChain, LangGraph, or MCP
  • Experience with REST or gRPC integration and vector databases
  • SAP BTP and HANA experience
  • Databricks or similar data pipeline experience
  • Experience delivering multi-tenant, cloud-native applications
  • Understanding of data modeling and data warehousing principles
  • Experience applying performance optimization techniques
  • Data engineering certification or similar certification
  • Knowledge of machine learning concepts and popular ML libraries
  • Knowledge of Spark, Hadoop, Hive, or Kafka
  • Experience with Apache Airflow
  • Knowledge of cloud CI/CD and DevOps practices
  • Experience with Informatica, Talend, Matillion, or Fivetran
  • Familiarity with dbt

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.

  • 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.
  • 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.
  • 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

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Dublin
456,553 Employees
Year Founded: 1989

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.

Similar Jobs

JPMorganChase Logo JPMorganChase

Data Engineer

Financial Services
Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
289097 Employees

Cargill Logo Cargill

Data Engineer

Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
155000 Employees

Atlassian Logo Atlassian

Data Engineer

Cloud • Information Technology • Productivity • Security • Software • App development • Automation
In-Office or Remote
560071, Domlur, Karnataka, IND
11000 Employees

Hewlett Packard Enterprise Logo Hewlett Packard Enterprise

Cloud Engineer

Artificial Intelligence • Cloud • Information Technology • Consulting
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
85422 Employees

Similar Companies Hiring

NODA AI Thumbnail
Artificial Intelligence • Information Technology • Software • Cybersecurity
Austin, TX
54 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
567 Employees
RapidScale Thumbnail
Cloud • Information Technology • Consulting
Raleigh, NC
600 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account