Skill required: Tech for Operations - Data Architecture Principles
Designation: Data Eng, Mgmt & Governance Sr Analyst
Qualifications:Under Gradudate
Years of Experience:5 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. Join our dynamic Service Supply Chain (SSC) team and be at the forefront of helping world class organizations unlock their full potential. Imagine a career where your innovative work makes a real impact, and every day brings new challenges and opportunities for growth. We re on the lookout for passionate, talented individuals ready to make a difference. If you re eager to shape the future and drive success, this is your chance—join us now and let’s build something extraordinary together! The Data Engineer Sr. Analyst will be part of a team responsible for designing, building, optimizing, and maintaining our data and data pipeline architecture. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer Sr. Analyst will be responsible for ensuring data consistency, integrity and traceability while maintaining the highest level of data protection and security. The Data Engineer Analyst must be comfortable supporting multiple teams, systems, and projects.
What are we looking for? • Bachelor’s degree Information Technology, Data Management or related • 5+ years in data engineering experience. • Project management experience and able to work closely with project managers. • 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. • Strong analytic skills related to working with raw, structured, and unstructured datasets. • Experience building and supporting processes for data transformation, data structures, metadata, dependency, and workload management. • A successful history of manipulating, processing, and extracting value from datasets. • Working knowledge of message queuing, stream processing, and highly scalable big data data stores. • 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 modeling. • Conduct complex data analysis and report on results. • Build algorithms and prototypes. • Build 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. • 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
Under Gradudate
