Job description
Skill required: Tech for Operations - Microsoft Azure Cloud Services
Designation: Data Eng, Mgmt & Governance Specialist
Qualifications:Under Gradudate
Years of Experience:8 years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? In our Service Supply Chain offering, we leverage a combination of proprietary technology and client systems to develop, execute, and deliver BPaaS (business process as a service) or Managed Service solutions across the service lifecycle: Plan, Deliver, and Recover. In this role, you will partner with business development and act as a Business Subject Matter Expert (SME) to help build resilient solutions that will enhance our clients supply chains and customer experience. The Data Engineering Lead will be part of a team responsible for designing, building, optimizing and maintaining our data and data pipeline architecture. The Data Engineer III will be responsible to ensure data consistency, integrity and traceability while maintaining the highest level of data protection and security. The Data Engineering Lead must be comfortable leading and supporting multiple teams, system and projects.
What are we looking for? • Bachelor’s degree Information Technology, Data Management or related
• 8+ years in data engineering experience. • Experience including design and build with ETL, ELT tools and workflows. • Experience including design and build with scripting in a data engineering context • Experience including design and build with common database technologies including SQL, NoSQL, Parquet. • Experience including design and build with cloud-based database and data pipeline technologies • Experience with version control and dev ops pipelines • Proven experience building and optimizing big data data pipelines, architectures and data sets. • Proven experience building and supporting processes for data transformation, data structures, metadata, dependency and workload management. • Solid knowledge of message queuing, stream processing, and highly scalable big data data stores. • Strong project management experience and able to work closely with project managers. • Python and Azure experience a plus
Roles and Responsibilities: • Analyze and organize raw data from multiple sources. • Design, build or implement data pipelines along with supporting infrastructure. • Create data processing architectures supporting the entire data lifecycle. • Assemble large, complex datasets that meet functional and non-functional business requirements. • Prepare data for prescriptive and predictive modelling. • Conduct complex data analysis and report on results. • Build algorithms and prototypes. • Make automations and repeatable patterns to improve data processing efficiency. • Support maintenance of existing data pipelines and architectures with a view to optimization. • Identify opportunities for data acquisition. • Lead and support several data efforts simultaneously. • Manage data engineering team members. • Understand business needs and objectives. • Maintain strict data security controls and standards. • Collaborate with data scientists and analytics teams. • Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.
• Adhere to data management best practices and maintain detailed documentation
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