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For Employers

Custom Software Engineer

Accenture services Pvt Ltd

2 years

0 Lacs

pune/pimpri-chinchwad area

Posted:1 day ago| Platform:

Apply

Skills Required

software design code agile azure analytics sql server databricks pyspark data rest api adf engineering governance storage support reporting etl consistency pipeline efficiency monitoring tuning audit controls security architecture logic compliance power integration layers spark workflow orchestration learning ai model deployment scrum devops provisioning sap

Work Mode

On-site

Job Type

Full Time

Job Description

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 :

Minimum 2 Year(s) Of Experience Is Required

Educational Qualification :

15 years full time educationSummary: 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.

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Custom Software Engineer