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Accenture Applied Intelligence practice help our clients grow their business in entirely new ways.. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition andlt;br or andgt; As part of our Analytics practice you will join a worldwide network of over 20000 smart and driven colleagues experienced in leading AI or ML or Statistical tools methods and applications. From data to analytics and insights to actions our forward-thinking consultants provide analytically-informed issue-based insights at scale to help our clients improve outcomes and achieve high performance. andlt;br or andgt; . andlt;br or andgt; Consultant in Data Engineer andlt;br or andgt; andlt;br or andgt; A Consultant in ‘Applied intelligence .Data Engineer. –understands the importance of sound analytical decision-making relationship of tasks to the overall project and executes projects in the context of a business performance improvement initiative. andlt;br or andgt; andlt;br or andgt; Duties and Responsibilities: andlt;br or andgt; • Design and develop scalable solutions to store and retrieve high volume of data on cloud.andlt;br or andgt; • Deliver project and customer success by meeting deadlines managing expectations and by delivering good quality solutions.andlt;br or andgt; • Develop and maintain scalable data pipelines and build out API integrations to support continuing increases in data volume and complexity.andlt;br or andgt; • Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.andlt;br or andgt; • Design data integrations and data quality framework for medium complexity modules.andlt;br or andgt; • Responsible to Ingest data from files streams and databases. Process the data with Hive Hadoop Spark.andlt;br or andgt; • Responsible to design and develop distributed high volume high velocity multi-threaded event processing systems using Big Data technologies.andlt;br or andgt; • Implement scalable solutions to meet the ever-increasing data volumes using big data or cloud technologies Apache Spark Hadoop any Cloud computing etc.andlt;br or andgt; • Investigate identify and establish new tools and processes for data warehousing data quality assurance reporting business intelligence data governance and data cataloguing.andlt;br or andgt; • Setup reliable data ingestion pipelines for new data sources and integrate them effectively with existing data sets.andlt;br or andgt; • Work on migrating on-prem data warehouses to cloud platform.andlt;br or andgt; • Assist in development of reusable code and accelerators development.andlt;br or andgt; • Training and mentoring other members in the team.andlt;br or andgt; • Open to learn new technologies in a short duration.andlt;br or andgt;
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