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-
Description: As a Data /ML Engineer, you will define the data requirements and structure for the application. Embedded FDE engineer (5–10 yrs) building AI-first SAP cloud applications and end-to-end solutions with customers. You will collaborate with various teams to ensure that the data Engineer is robust, scalable, and efficient, while also addressing any challenges that arise during the development process. Your role will be pivotal in shaping the data landscape of the organization, enabling data-driven decision-making and fostering innovation through effective data management practices.
Responsibilities:
Discover customer problems and frame AI-driven solutions.
Design and implement end-to-end cloud architectures and production apps on SAP BTP. Build AI/LLM/Agentic features (RAG, hybrid retrieval) and integrate ML services.
Ensure quality, security, observability, and CI/CD.
Collaborate closely with customer teams, product, UX, data, and architecture.
Prepare Gen AI-compatible datasets: manage vector embeddings, index with Databricks Vector Search, and use Feature Store with ML flow.
Package and deploy pipelines using Databricks Asset Bundles through CI/CD pipelines in GitHub or GitLab.
Troubleshoot, tune, and optimize jobs using Photon engine and serverless compute, ensuring cost efficiency and SLA reliability.
Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.
Hands on Experience in applying Performance optimization techniques
Understanding data modeling and data warehousing principles is essential.
5–10 yrs software engineering for cloud/enterprise/SaaS.
Proven delivery of multi-tenant, cloud-native apps.
Hands-on with LLMs, RAG, agentic frameworks (e.g., LangChain, LangGraph, MCP).
Strong Python/ML stack, REST/gRPC integration, vector DBs.
SAP BTP & HANA experience Databricks or similar data pipelines.
Nice to Have:
1. Certifications: Data Engineering Certified Professional or similar certifications.
2. Machine Learning: Knowledge of machine learning concepts and experience with popular ML libraries.
3. Knowledge of big data processing (e.g., Spark, Hadoop, Hive, Kafka)
4. Data Orchestration: Apache Airflow.
5. Knowledge of CI/CD pipelines and DevOps practices in a cloud environment.
6. Experience with ETL tools like Informatica, Talend, Mati Llion, or Five Tran.
7. Familiarity with DBT (Data Build Tool)
Additional Information:
- The candidate should have minimum 7.5 years of experience in Data Engineering/Machine learning
- This position is based at our Bengaluru/Pune office.
Educational Qualification:
- 15 years full time education is required.
15 years full time education
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-
Description: As a Data /ML Engineer, you will define the data requirements and structure for the application. Embedded FDE engineer (5–10 yrs) building AI-first SAP cloud applications and end-to-end solutions with customers. You will collaborate with various teams to ensure that the data Engineer is robust, scalable, and efficient, while also addressing any challenges that arise during the development process. Your role will be pivotal in shaping the data landscape of the organization, enabling data-driven decision-making and fostering innovation through effective data management practices.
Responsibilities:
Discover customer problems and frame AI-driven solutions.
Design and implement end-to-end cloud architectures and production apps on SAP BTP. Build AI/LLM/Agentic features (RAG, hybrid retrieval) and integrate ML services.
Ensure quality, security, observability, and CI/CD.
Collaborate closely with customer teams, product, UX, data, and architecture.
Prepare Gen AI-compatible datasets: manage vector embeddings, index with Databricks Vector Search, and use Feature Store with ML flow.
Package and deploy pipelines using Databricks Asset Bundles through CI/CD pipelines in GitHub or GitLab.
Troubleshoot, tune, and optimize jobs using Photon engine and serverless compute, ensuring cost efficiency and SLA reliability.
Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.
Hands on Experience in applying Performance optimization techniques
Understanding data modeling and data warehousing principles is essential.
5–10 yrs software engineering for cloud/enterprise/SaaS.
Proven delivery of multi-tenant, cloud-native apps.
Hands-on with LLMs, RAG, agentic frameworks (e.g., LangChain, LangGraph, MCP).
Strong Python/ML stack, REST/gRPC integration, vector DBs.
SAP BTP & HANA experience Databricks or similar data pipelines.
Nice to Have:
1. Certifications: Data Engineering Certified Professional or similar certifications.
2. Machine Learning: Knowledge of machine learning concepts and experience with popular ML libraries.
3. Knowledge of big data processing (e.g., Spark, Hadoop, Hive, Kafka)
4. Data Orchestration: Apache Airflow.
5. Knowledge of CI/CD pipelines and DevOps practices in a cloud environment.
6. Experience with ETL tools like Informatica, Talend, Mati Llion, or Five Tran.
7. Familiarity with DBT (Data Build Tool)
Additional Information:
- The candidate should have minimum 7.5 years of experience in Data Engineering/Machine learning
- This position is based at our Bengaluru/Pune office.
Educational Qualification:
- 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
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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.
