Cloud Platform Engineer at Accenture

Pune, Maharashtra, India

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Cloud ComputingIndustries

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (15 years full-time education)
Minimum 3-4 years of experience as Microsoft Fabric Data Engineer
Hands-on experience with Microsoft Fabric (Lakehouse, Data Factory, Pipelines, OneLake, Notebooks, Power BI)
Strong proficiency with SQL, Python, Spark, and Delta Lake
Experience with Azure services (Azure Data Lake, Azure Synapse, Azure Data Factory, AAD)
Solid understanding of ETL/ELT methodologies, data modeling, and data warehousing concepts
Knowledge of version control (Git) and CI/CD workflows
Excellent analytical, problem-solving, and communication skills
Preferred Qualifications
Fabric Analyst or Fabric Engineer Certification
Experience with MLOps or DataOps practices
Familiarity with DevOps tools (Azure DevOps, GitHub Actions)
Experience with streaming technologies (Event Hubs, Kafka, Fabric Real-Time Analytics)

Responsibilities

Design and implement scalable data architectures using Microsoft Fabric components such as Lakehouse, Data Warehouse, OneLake, and KQL Databases
Create and optimize star schemas, data marts, semantic models, and medallion architectures
Manage and enforce data governance, security, and access control within Fabric workspaces
Develop, orchestrate, and maintain data ingestion and transformation pipelines using Data Factory, Fabric Pipelines, and Dataflows Gen2
Build automated workflows for batch, streaming, or event-driven ingestion
Optimize pipeline performance and ensure reliability, scalability, and fault-tolerance
Work with structured and unstructured data from various enterprise systems, APIs, and external sources
Utilize Apache Spark within Fabric Notebooks for large-scale data processing
Implement Delta Lake best practices (Z-ordering, OPTIMIZE, VACUUM, etc.)
Partner with BI analysts to create and optimize Power BI semantic models and direct lake mode datasets
Publish high-quality, certified data assets for business consumption
Ensure data quality, accuracy, and consistency across analytic layers
Monitor Fabric workloads, storage utilization, capacity models, and performance
Implement logging, alerting, and automated testing for pipelines
Perform cost optimization for compute workloads and OneLake storage
Work closely with data analysts, data scientists, and business stakeholders to understand data needs
Translate business requirements into scalable data solutions
Document workflows, architectures, and best practices

Skills

Key technologies and capabilities for this role

Microsoft FabricLakehouseData WarehouseOneLakeKQL DatabasesData FactoryFabric PipelinesDataflows Gen2ETLELTData GovernanceStar SchemasSemantic ModelsMedallion Architecture

Questions & Answers

Common questions about this position

What are the must-have skills for this Cloud Platform Engineer role?

The must-have skill is Microsoft Fabric. Good to have skills are not specified in detail.

What is the minimum experience required for this position?

Minimum 3 year(s) of experience is required, with at least 4 years specifically in Microsoft Fabric Data Engineering.

What is the educational qualification needed for this role?

15 years full time education is required.

What are the key responsibilities of a Microsoft Fabric Data Engineer in this position?

Key responsibilities include designing scalable data architectures with Lakehouse and Data Warehouse, developing ETL/ELT pipelines using Data Factory and Fabric Pipelines, data integration with Spark and Delta Lake, enabling analytics with Power BI, monitoring workloads, and collaborating with stakeholders.

Is the salary or compensation mentioned for this Cloud Platform Engineer role?

This information is not specified in the job description.

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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