Job Overview

Accenture is hiring a Data Engineer in Bengaluru for an experienced data engineering role focused on Python frameworks, scalable data pipelines, distributed processing, cloud-based data solutions, and enterprise data services. The position sits within a Data Architecture environment and requires professionals who can take ownership of complex engineering work while contributing to technical decisions across teams.

The role is designed for an experienced engineer who can build reliable data workflows for high-volume and high-velocity datasets. You will work across data ingestion, transformation, validation, APIs, ETL and ELT processes, cloud services, workflow orchestration, and performance optimization. The position also includes technical leadership responsibilities, including mentoring team members and supporting important engineering decisions.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines for large and complex datasets.
• Build ETL and ELT workflows that collect, transform, validate, and distribute data across enterprise systems.
• Develop backend data services and APIs that allow applications and teams to consume trusted data.
• Work with cross-functional teams to understand data requirements and deliver practical engineering solutions.
• Improve pipeline performance, scalability, reliability, and cost efficiency.
• Develop processing strategies for datasets with high volume and high velocity.
• Implement data validation and quality controls to improve consistency and reliability.
• Apply appropriate data integration patterns across multiple systems and platforms.
• Work with cloud-native data services across AWS, Microsoft Azure, or Google Cloud.
• Use workflow orchestration tools to automate and manage complex data processes.
• Contribute to engineering standards, process improvements, and technical decisions.
• Review technical challenges and provide solutions for the immediate team and other collaborating teams.
• Mentor junior engineers and help improve their technical capabilities.
• Support continuous improvement of data engineering practices and team productivity.

Required Skills

Strong Python programming expertise is the primary technical requirement for this position. Candidates should be comfortable using Python frameworks to create scalable data pipelines, backend data services, and data processing workflows.

The role also requires solid knowledge of SQL and NoSQL databases, including advanced query optimization. Candidates should understand distributed data processing, system scalability, performance tuning, and data integration patterns.

Experience with ETL and ELT frameworks is important, along with practical knowledge of workflow orchestration tools such as Apache Airflow or an equivalent platform. The position also requires familiarity with CI/CD practices, Git, Jenkins, and Docker.

Cloud experience is another key requirement. Candidates should have hands-on exposure to at least one major cloud platform, including AWS, Azure, or Google Cloud, and understand how cloud-native data services can be used to build reliable enterprise data solutions.

Preferred Skills

Exposure to Ab Initio is listed as a good-to-have skill. Experience with Java or Scala in distributed computing environments can also strengthen a candidate's profile.

Professionals who understand data quality, data lineage, governance frameworks, and cloud-first engineering practices will be well positioned for this opportunity. Experience working in agile teams and contributing to continuous process improvement is also useful.

Education

The position requires 15 years of full-time education. The supplied job description does not specify a particular degree specialization, so candidates should verify their educational eligibility during the application process.

Experience

The formal job requirement states that a minimum of 7.5 years of experience is required, with the role categorized within the 5 to 10 years experience range. The additional information also states that the candidate should have a minimum of 10 years of experience in Python.

Because the job description contains both an overall experience requirement and a specific Python experience expectation, candidates should carefully review their experience against both conditions before applying. The strongest profiles will demonstrate substantial hands-on Python development together with enterprise data engineering experience.

Required Technologies

• Python
• Python Frameworks
• SQL
• NoSQL
• ETL
• ELT
• AWS
• Microsoft Azure
• Google Cloud
• Apache Airflow
• Git
• Jenkins
• Docker
• Data Pipelines
• Data APIs
• Distributed Data Processing
• Data Integration
• Data Quality
• Data Lineage
• Data Governance
• Performance Tuning
• Distributed Systems
• Java
• Scala
• Ab Initio

Soft Skills

This position requires strong collaboration and technical ownership. As an experienced member of the team, you should be able to explain engineering decisions, work with multiple groups, and provide practical solutions to complex data problems.

Mentoring is also part of the role, so the ability to guide junior engineers and share technical knowledge is important. A structured approach to problem solving, attention to data quality, accountability, and a continuous improvement mindset will help candidates succeed.

Benefits of Working in this Role

The role offers exposure to enterprise-scale data engineering, Python development, distributed processing, multi-cloud environments, data APIs, orchestration, and modern data governance practices. It also provides an opportunity to contribute to technical decisions and mentor other engineers.

The supplied job description does not specify company-specific benefits, compensation, or additional employee perks, so candidates should confirm those details directly with Accenture.

Work Mode

The supplied job description does not explicitly specify onsite, hybrid, or remote work arrangements. The role is based in Bengaluru, and the work arrangement should be confirmed with Accenture during the hiring process. For SoftoJobs classification, it is listed as onsite because no remote or hybrid designation was provided.

Location

Bengaluru, Karnataka, India.

Who Should Apply

This opportunity is suitable for experienced Python Data Engineers, Data Pipeline Engineers, Data Platform Engineers, Cloud Data Engineers, ETL Developers, and senior professionals working on distributed data systems.

Candidates should have strong Python experience, practical data pipeline development skills, database expertise, cloud exposure, and an understanding of scalable distributed architectures. Professionals who have worked with Apache Airflow, Docker, Git, Jenkins, and cloud-native data services should highlight those technologies in their resumes.

Freshers and candidates without substantial professional data engineering experience are unlikely to meet the stated requirements. Applicants should also review the specific Python experience expectation because the job description calls for significant hands-on Python expertise.

Career Growth

Experience in this role can support progression toward Senior Data Engineer, Data Architect, Data Platform Architect, Cloud Data Architect, Data Engineering Lead, or broader technical leadership positions. Building expertise across distributed processing, multi-cloud data platforms, governance, performance optimization, and team leadership can provide a strong foundation for advanced data architecture responsibilities.

Application Advice

Tailor your resume around the requirements that are explicitly emphasized in the posting. Start with your Python experience and provide clear examples of scalable data pipelines, ETL or ELT workflows, distributed processing, and backend data services you have delivered.

Mention the cloud platforms you have used and identify the specific data services or architectures you worked with. Highlight SQL and NoSQL database experience, query optimization, workflow orchestration, CI/CD, containerization, and data quality practices.

If you have worked with Apache Airflow, Git, Jenkins, Docker, AWS, Azure, Google Cloud, Ab Initio, Java, or Scala, include those technologies in relevant project context rather than listing them without examples. Senior candidates should also describe mentoring, technical decision-making, cross-team collaboration, and improvements to performance, reliability, scalability, or cost.

The position requires 15 years of full-time education. Review the stated experience requirements carefully, particularly the additional expectation for significant Python experience, before submitting your application.