Data Platform Engineer
Accenture
- Location
- Onsite (pune, Maharashtra)
- Employment
- Full-time
- Level
- Mid Level
Posted 2 weeks ago
About the role
Accenture is seeking a Data Platform Engineer to design and optimize scalable analytics solutions on Microsoft Azure. The role involves building data pipelines, managing transformation logic, and collaborating with cross-functional teams to ensure data quality and performance.
Skills
Microsoft Azure
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
PySpark
Spark SQL
SQL
Data Engineering
Data Modeling
Power BI
Data Warehousing
Git
Data Ingestion
Data Transformation
Analytical Modeling
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 : Microsoft Azure Analytics Services
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Microsoft Azure Analytics Engineer, you will be responsible for designing, developing, and optimizing analytics solutions on the Microsoft Azure platform. You will act as a senior contributor within the team, translating business and data requirements into scalable, reliable analytics solutions. Your daily activities will include building and maintaining data pipelines, developing transformation logic, creating curated datasets, and ensuring data quality and performance. You will collaborate closely with cross-functional teams, provide guidance to junior analysts, and contribute to technical decisions that improve solution robustness, reusability, and delivery standards.
Roles & Responsibilities: -
Act as a Senior Analyst and subject matter contributor for Azure-based analytics solutions.
Analyze business and data requirements and translate them into technical designs aligned with Azure analytics best practices.
Design and develop data ingestion pipelines using Azure Data Factory and supported connectors.
Build and manage data storage and analytics layers using Azure Data Lake Storage and Azure Synapse Analytics.
Develop and optimize data transformations using SQL, PySpark, and Spark-based processing.
Implement structured data modeling and layering standards for curated and consumption-ready datasets.
Support Power BI dataset development including measures, relationships, refresh strategies, and basic performance tuning.
Perform data validation and reconciliation to ensure data accuracy, completeness, and consistency.
Collaborate with architects and leads on design decisions and solution improvements.
Troubleshoot and resolve data pipeline failures, data issues, and performance bottlenecks.
Participate in code reviews, documentation, and knowledge-sharing sessions.
Support production deployments, enhancements, and ongoing operational activities.
Professional & Technical Skills: - Must-Have Skills with Microsoft Azure Analytics as listed below
Hands-on experience with Microsoft Azure Analytics services, including:
o Azure Data Factory for data integration and orchestration
o Azure Synapse Analytics (SQL Pools)
o Azure Data Lake Storage Gen2
Working knowledge of PySpark or Spark SQL for data processing.
Understanding of data warehousing concepts (fact/dimension tables, SCDs).
Experience with Power BI datasets and semantic models.
Familiarity with data ingestion patterns (full loads, incremental loads).
Ability to debug and resolve data pipeline and transformation issues.
Basic understanding of Git-based version control and deployment practices.
Strong proficiency in SQL for querying, transformations, and analytical data modeling.
Additional Information: -
The candidate should have 4–5 years of experience in data engineering, BI, or analytics roles.
This position is based at our Bengaluru, Chennai, Hyderabad office.
Minimum 15 years of full-time education (or equivalent).
Agile/project-based delivery with close collaboration across teams.
Independently handles assigned modules or datasets.
Actively contributes to improving coding standards and solution quality.
Reliable support during testing and production issues.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 : Microsoft Azure Analytics Services
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Microsoft Azure Analytics Engineer, you will be responsible for designing, developing, and optimizing analytics solutions on the Microsoft Azure platform. You will act as a senior contributor within the team, translating business and data requirements into scalable, reliable analytics solutions. Your daily activities will include building and maintaining data pipelines, developing transformation logic, creating curated datasets, and ensuring data quality and performance. You will collaborate closely with cross-functional teams, provide guidance to junior analysts, and contribute to technical decisions that improve solution robustness, reusability, and delivery standards.
Roles & Responsibilities: -
Act as a Senior Analyst and subject matter contributor for Azure-based analytics solutions.
Analyze business and data requirements and translate them into technical designs aligned with Azure analytics best practices.
Design and develop data ingestion pipelines using Azure Data Factory and supported connectors.
Build and manage data storage and analytics layers using Azure Data Lake Storage and Azure Synapse Analytics.
Develop and optimize data transformations using SQL, PySpark, and Spark-based processing.
Implement structured data modeling and layering standards for curated and consumption-ready datasets.
Support Power BI dataset development including measures, relationships, refresh strategies, and basic performance tuning.
Perform data validation and reconciliation to ensure data accuracy, completeness, and consistency.
Collaborate with architects and leads on design decisions and solution improvements.
Troubleshoot and resolve data pipeline failures, data issues, and performance bottlenecks.
Participate in code reviews, documentation, and knowledge-sharing sessions.
Support production deployments, enhancements, and ongoing operational activities.
Professional & Technical Skills: - Must-Have Skills with Microsoft Azure Analytics as listed below
Hands-on experience with Microsoft Azure Analytics services, including:
o Azure Data Factory for data integration and orchestration
o Azure Synapse Analytics (SQL Pools)
o Azure Data Lake Storage Gen2
Working knowledge of PySpark or Spark SQL for data processing.
Understanding of data warehousing concepts (fact/dimension tables, SCDs).
Experience with Power BI datasets and semantic models.
Familiarity with data ingestion patterns (full loads, incremental loads).
Ability to debug and resolve data pipeline and transformation issues.
Basic understanding of Git-based version control and deployment practices.
Strong proficiency in SQL for querying, transformations, and analytical data modeling.
Additional Information: -
The candidate should have 4–5 years of experience in data engineering, BI, or analytics roles.
This position is based at our Bengaluru, Chennai, Hyderabad office.
Minimum 15 years of full-time education (or equivalent).
Agile/project-based delivery with close collaboration across teams.
Independently handles assigned modules or datasets.
Actively contributes to improving coding standards and solution quality.
Reliable support during testing and production issues.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.