Design, build, and optimize end-to-end Azure data pipelines and analytics solutions using ADF, Databricks, Synapse, and ADLS. Develop ETL/ELT workflows, implement batch and real-time processing, optimize databases and queries, and contribute to course content and assessments for upskilling technology talent.
Project Role : Technology Educator
Project Role Description : Instrumental in keeping technology talent market relevant, by upskilling and cross skilling them. Primarily responsible for delivering foundational training in technology, delivery, professional development and industry content. Contribute to course content development and creation of questions for certification and assessments.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
About the Role
We are looking for a skilled Azure Data Services Engineer to join our growing Data & Analytics team. You will design, build, and optimize scalable data pipelines and analytics solutions on Microsoft Azure. Working closely with data architects, analysts, and business stakeholders, you will play a key role in transforming raw data into actionable insights that drive strategic decision-making.
Key Responsibilities
Design, develop, and maintain end-to-end data pipelines using Azure Data Factory (ADF), Azure Databricks, and Azure Synapse Analytics.
Build and manage data lake and data warehouse architectures using Azure Data Lake Storage Gen2 (ADLS) and Azure Synapse.
Develop ETL/ELT workflows to ingest, transform, and load structured and unstructured data from diverse sources.
Implement real-time and batch data processing using Azure Stream Analytics, Azure Event Hubs, and Azure Service Bus.
Optimize query performance, data models, and storage strategies in Azure SQL Database, Azure SQL Managed Instance, and Cosmos DB.
Required Qualifications
3+ years of hands-on experience with Azure Data Services (ADF, Databricks, Synapse Analytics, ADLS Gen2).
Proficiency in SQL and at least one programming language: Python, Scala, or PySpark.
Strong understanding of data modeling concepts: star schema, snowflake schema, dimensional modeling.
Experience with Azure Cosmos DB, Azure SQL Database, or other NoSQL and relational database platforms.
Preferred Qualifications
Microsoft Certified: Azure Data Engineer Associate (DP-203) or equivalent certification.
Familiarity with Delta Lake, Apache Kafka, or other modern data platform technologies.
Technical Skills
Azure Data Factory & Synapse
Azure Databricks / PySpark
Azure Event Hubs & Stream Analytics
SQL, Python, Scala
ADLS Gen2, Cosmos DB, Azure SQL
Git / Azure DevOps / Terraform
Soft Skills
Analytical & problem-solving mindset
Strong verbal and written communication
Collaborative team player
Self-driven with attention to detail
Ability to manage multiple priorities
Continuous learning attitude15 years full time education
Project Role Description : Instrumental in keeping technology talent market relevant, by upskilling and cross skilling them. Primarily responsible for delivering foundational training in technology, delivery, professional development and industry content. Contribute to course content development and creation of questions for certification and assessments.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
About the Role
We are looking for a skilled Azure Data Services Engineer to join our growing Data & Analytics team. You will design, build, and optimize scalable data pipelines and analytics solutions on Microsoft Azure. Working closely with data architects, analysts, and business stakeholders, you will play a key role in transforming raw data into actionable insights that drive strategic decision-making.
Key Responsibilities
Design, develop, and maintain end-to-end data pipelines using Azure Data Factory (ADF), Azure Databricks, and Azure Synapse Analytics.
Build and manage data lake and data warehouse architectures using Azure Data Lake Storage Gen2 (ADLS) and Azure Synapse.
Develop ETL/ELT workflows to ingest, transform, and load structured and unstructured data from diverse sources.
Implement real-time and batch data processing using Azure Stream Analytics, Azure Event Hubs, and Azure Service Bus.
Optimize query performance, data models, and storage strategies in Azure SQL Database, Azure SQL Managed Instance, and Cosmos DB.
Required Qualifications
3+ years of hands-on experience with Azure Data Services (ADF, Databricks, Synapse Analytics, ADLS Gen2).
Proficiency in SQL and at least one programming language: Python, Scala, or PySpark.
Strong understanding of data modeling concepts: star schema, snowflake schema, dimensional modeling.
Experience with Azure Cosmos DB, Azure SQL Database, or other NoSQL and relational database platforms.
Preferred Qualifications
Microsoft Certified: Azure Data Engineer Associate (DP-203) or equivalent certification.
Familiarity with Delta Lake, Apache Kafka, or other modern data platform technologies.
Technical Skills
Azure Data Factory & Synapse
Azure Databricks / PySpark
Azure Event Hubs & Stream Analytics
SQL, Python, Scala
ADLS Gen2, Cosmos DB, Azure SQL
Git / Azure DevOps / Terraform
Soft Skills
Analytical & problem-solving mindset
Strong verbal and written communication
Collaborative team player
Self-driven with attention to detail
Ability to manage multiple priorities
Continuous learning attitude15 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.
Accenture Pune, Mahārāshtra, IND Office
Building B-1, Magarpatta City (SEZ, Mundhwa Rd, Magarpatta, Hadapsar, Pune, Maharashtra, India, 411013
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
