Job Description

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Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With 514,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at

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; Associate Manager in Data Engineer andlt;br or andgt; andlt;br or andgt; An Associate Manager 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 scalable solutions to store and retrieve high volume of data on cloudandlt;br or andgt; • Ability to lead cross-functional projectsandlt;br or andgt; • Design and build technical processes at an organization levelandlt;br or andgt; • Train develop and supervise data engineersandlt;br or andgt; • Lead and manage strong technical teamandlt;br or andgt; • Oversee the design and delivery of projects manage processes and people responsible for project deliveryandlt;br or andgt; • Ability to nurture or mentor others in the team. andlt;br or andgt; • Architect technical solutions related to data pipelines implementation and migration projectandlt;br or andgt; • Deliver project and customer success by meeting deadlines managing expectations and by delivering good quality solutionsandlt;br or andgt; • Work on migrating on-prem data warehouses to cloud platformandlt;br or andgt; • Assist in the development of reusable code and accelerators developmentandlt;br or andgt; • Train and mentor other members in the teamandlt;br or andgt; • Willingness to learn new technologies in a short durationandlt;br or andgt;
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Educational Background or qualifications Bachelor or master’s degree preferably in Computer Science Computer Engineering or related discipline Requirements: • Advanced SQL knowledge and experience of working with a variety of databases • Experience with Data Warehouse or Data Lake Architecture and Development • Ability to lead define and set standards for Data Engineering tools andamp; standards to improve the overall productivity and quality of Data Engineering team. • Familiarity with various tools such as Kubernetes Docker and a open mindset for automation and familiarity with DevOps tools. • Strong familiarity and knowledge of industry best practices and processes in Data quality and Data security .DataOps. • Hands-on working knowledge of NoSQL and MPP data platforms like Hbase MongoDb Cassandra AWS Redshift Azure SQLDW GCP BigQuery etc. • Hands-on experience in working with programming languages such as Python or Java or Scala • Working experience with Big Data technologies such as Hadoop Kafka NoSQL databases • Experience with AWS or GCP cloud deployment models • Experience on working in cloud data migration projects • Working experience in one of the cloud platform GCP or AWS or Azure is must • Working experience with Big Query or Snowflake or Redshift .at least one of them. • Strong ability to plan and manage processes people and projects simultaneously • Experience of developing data pipelines using tools such as Spark Python AWS Glue Azure Data Factory • Ability to estimate organize plans communicate and follow through on implementation • Ensure design and code quality guidelines are set and followed by the team • Hold team members accountable to their responsibilities • Dynamic individual who demonstrates a very positive attitude • Strong analytical and communication skills • Excellent written and verbal communication skills

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