Data Engineer

Project Role : Data Engineer
Project Role Description : 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.
Must have skills : Microsoft Azure Databricks
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting and optimizing existing data workflows to enhance performance and reliability.

Key Responsibilities:
1. Function as the Lead Data Architect for a small, simple project/proposal or as a team lead for medium/large sized project or proposal
2. Discuss specific Big data architecture and related issues with client 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 medium-big Cloud based, Big Data and Analytical Solutions using Lambda architecture.
5. Breadth of experience in various client scenarios and situations
6. Experienced in Big Data Architecture-based sales and delivery
7. Thought leadership and innovation
8. Lead creation of new data assets & offerings
9. Experience in handling OLTP and OLAP data workloads

Technical Experience:
1. Experience working in Medallion architecture involving Delta lake house principles
2. Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake implementation.
3. Expert level experience in Azure cloud technologies like PySpark, ADF, Databricks, Python, Scala and SQL.
4. Exp in one or more Real-time/batch ingestion including: Azure Delta live tables , Autoloader
5. Exp in handling medium to large Big Data implementations
6. Strong understanding of data strategy. Data Quality and Delta lake components
7. Candidate must have 7-10 years of IT experience and around 5 years of Big data experience (design + build) in Databricks
8. Architect for a medium sized client delivery project

Professional Experience:
1. Should be able to drive the technology design meetings, propose technology design and architecture
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 

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