Data Engineer

Data Engineer

Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Microsoft Fabric

NA

Minimum

year(s) of experience is required

15 years full time education

Summary:

As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle. Your role includes implementing extract, transform, and load processes to enable seamless migration and deployment of data across various systems, contributing to the overall data infrastructure and operational efficiency within the organization.

Key Responsibilities:

1. Function as the Junior Data Architect for a small, simple project/proposal or as a team lead for small/medium sized project

2. Discuss specific data architecture and data related issues with data architect/team (in area of expertise)

3. Analyze and assess the impact of the requirements on the data and its lifecycle

4. Lead Big data architecture and design of small implementation of Lambda architecture

5. Breadth of experience in various client scenarios and situations

6. Thought leadership and innovation

7. Experience in creation of new data assets & offerings

8. Experience in handling OLTP and OLAP data workloads, PaaS and SaaS offering

Technical Experience:

1. Strong Experience working in Fabric Lakehouse and Warehouse working on Shortcuts and Copilots.

2. Good to have exposure or experience in Data science and Real time analytics .

3. Strong experience in Azure is preferred with hands-on experience in two or more of these skills : Azure Synapse Analytics, Azure Databricks with PySpark / Scala / SparkSQL, Purview /Unity catalog .

4. Experience in one or more Real-time/Streaming technologies including: Azure Stream Analytics, Azure Data Explorer, Azure Time Series Insights, etc.

5. Candidate should have deep knowledge in Python, LLM & Open AI Foundry

6. Github Copilot experience is an added advantage

7. Candidate must have 3-7 years of IT experience and around 1-3 years of extensive Big data experience

9. Experience working in medium to large Analytics projects

10. Experience in using the required best practices and collaborate with Data Architect as required.

Professional Experience:

1. Team player

2. Should have excellent client communication skills

3. Should have good analytical and problem-solving skills

Educational Qualification:

1. Must have: BE/Btech/MCA

2. Good to have: ME/MTech

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.