Data Platform Engineer
Accenture
- Location
- Onsite (Bengaluru, Karnataka)
- Employment
- Full-time
- Level
- Senior Level
Posted 2 days ago
About the Role
Accenture is seeking a Data Platform Engineer to design and implement robust ETL/ELT pipelines and build cloud-based data infrastructure. This role supports AI/ML and BI teams by providing structured data assets and ensuring cohesive system integration.
Skills
Generative AI
Python
SQL
Spark
Databricks
Airflow
ETL/ELT Pipelines
Cloud Infrastructure
Data Governance
Kafka
SAP HANA
Parquet
Delta Lake
Machine Learning
Data Warehousing
Serverless Computing
Full job details
Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Generative AI
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Agentic Interaction Engineer, you will define the data requirements and structure for the application. FDE UX Interation engineer (5–10 yrs) building scalable UX designs to enable ease of use and improved productivity of platforms. 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, profile, and assess customer data systems and quality.
Design and implement robust ETL/ELT pipelines across legacy, APIs, DBs, and streams.
Build cloud-based data infrastructure and optimize large-scale datasets.
Ensure data quality, governance, and compliance.
Provide structured data assets and documentation for AI/ML and BI teams.
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
Nice to Have:
1. 5–10 yrs data engineering with proven end-to-end pipeline delivery.
Strong Python & SQL Spark/Databricks and orchestration (e.g., Airflow).
Experience with SAP HANA or similar analytical DBs Parquet/Delta Lake.
Familiarity with streaming (Kafka or similar) and batch + real-time architectures.
Knowledge of data governance, MDM concepts, and PII/compliance.
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 : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Generative AI
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Agentic Interaction Engineer, you will define the data requirements and structure for the application. FDE UX Interation engineer (5–10 yrs) building scalable UX designs to enable ease of use and improved productivity of platforms. 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, profile, and assess customer data systems and quality.
Design and implement robust ETL/ELT pipelines across legacy, APIs, DBs, and streams.
Build cloud-based data infrastructure and optimize large-scale datasets.
Ensure data quality, governance, and compliance.
Provide structured data assets and documentation for AI/ML and BI teams.
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
Nice to Have:
1. 5–10 yrs data engineering with proven end-to-end pipeline delivery.
Strong Python & SQL Spark/Databricks and orchestration (e.g., Airflow).
Experience with SAP HANA or similar analytical DBs Parquet/Delta Lake.
Familiarity with streaming (Kafka or similar) and batch + real-time architectures.
Knowledge of data governance, MDM concepts, and PII/compliance.
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
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.