Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Microsoft Azure Analytics Services, Microsoft SQL Server, Microsoft Azure Databricks, PySpark, Azure Data Factory, Databricks REST API
Good to have skills : NA
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: Job Description: Azure Data Engineer – ADF, Databricks, ADLS Role Overview We are seeking a skilled and detail-oriented Azure Data Engineer to join our data engineering and governance team. The ideal candidate will have hands-on experience in designing, developing, and maintaining scalable data pipelines using Azure Data Factory, Azure Databricks, and Azure Data Lake Storage (ADLS). This role involves working closely with cross-functional teams to deliver robust data solutions that support analytics, reporting, and initiatives. Roles & Responsibilities: -Design, build, and maintain ETL/ELT pipelines using Azure Data Factory and Databricks. -Develop workflows that ingest, transform, and load data from diverse sources into ADLS, ensuring data quality and consistency. -Implement Bronze, Silver, and Gold layer transformations in Databricks using PySpark and SQL. -Optimize pipeline performance and cost efficiency through monitoring and tuning. -Collaborate with data analysts, and business stakeholders to understand data requirements and deliver solutions. -Maintain metadata, lineage, and audit trails for all data processes. -Manage access controls and security across Databricks workspaces and ADLS folders. -Document architecture, data flows, and transformation logic for compliance and future reference. -Support Power BI integration by enabling reporting layers and sandbox environments within Databricks. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Analytics Services, Microsoft Azure Databricks, PySpark, Microsoft SQL Server. -5+ years of experience in Azure Data Factory, Azure Databricks, and ADLS Gen2. -Strong proficiency in SQL, PySpark, and Spark-SQL. -Experience with Databricks REST API for workflow orchestration. -Understanding of data governance, security (RBAC, Azure AD), and compliance frameworks. -Exposure to data modeling, incremental transformations, and data mart integration. Nice to Have -Knowledge of open-source lakehouse formats like Delta Lake, Iceberg, and Parquet. -Experience with machine learning workflows and AI model deployment in Databricks. -Familiarity with Agile/Scrum methodologies and DevOps practices. Work Environment -Multiple Databricks workspaces including production sandboxes -Collaboration with ADLS and Databricks teams for access provisioning and data governance. -Integration with SAP HANA and other enterprise systems for data ingestion. Additional Information: - The candidate should have minimum 2 years of experience in Microsoft Azure Analytics Services. - This position is based at our Pune office. - A 15 years full time education is required.

15 years full time education

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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.

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