Data Platform Engineer

Posted:
9/9/2024, 8:58:16 PM

Location(s):
Odisha, India ⋅ Bhubaneshwar, Odisha, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Data & Analytics ⋅ Software Engineering

Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Microsoft Azure Modern Data Platform
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Job Description: • Development, customize and manage integration tools, databases, warehouses and analytical systems with the use of data related instruments/instances • Create and run complex queries and automation scripts for operational data processing. • Test the reliability and performance of each part of a system and cooperate with the testing team • Deploying data models into production environments. This entails providing the model with data stored in a warehouse or coming directly from sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc. • Responsible for setting up tools to view data, generate reports, and create visuals • Monitoring the overall performance and stability of the system. Adjust and adapt the automated pipeline as data/models/requirements change. • Mentor and train colleagues where necessary by helping them learn and improve their skills, as well as innovate and iterate on best practices. • Solve complex issues with minimal supervision • Make improvement and process recommendations that have an impact on the business Technology Stack Used & Required Knowledge: • Mastery of Azure Data Services with minimum of 4 years of such as Azure Data Factory, Azure Synapse, Azure Databricks, Azure SQL Database, Azure Cosmos DB, Azure Blob Storage/Data Lake Storage, and Azure Stream Analytics. • 5+ years Experience in using of Python/ PySpark for data engineering. • Understanding of data types/ handling of different data models. • Excellent understanding of ETL cycle • Expertise in designing scalable and efficient data architectures on Azure is a plus • Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms is a plus. • Good scripting and programming skills. • Expertise in implementing data governance frameworks and ensuring compliance using Azure Purview. Familiarity with Azure Data Catalog for managing and discovering data assets. • Understanding of Azure Key Vault for secure key management. • Azure scripting with PowerShell/Azure CLI Others: • Flexibility in using different technologies/ platforms • Ability to shift gears quickly and cope with change • Analytical & Detail Oriented • Confident, proactive and self-motivated • Disciplined and “Team first approach” oriented

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 750,000 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. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, 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


All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing