Job Description

About Accenture:
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 www.accenture.com

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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Qualifications

Educational Background or qualifications Bachelor or master’s degree preferably in Computer Science Computer Engineering or related discipline Requirements: • Advance SQL knowledge and experience of working with a variety of databases. • Hands on experience on Big Data tools and design and develop data pipeline on any Cloud Platform. • Possess in-depth knowledge of various Design Patterns in Bigdata Data Processing Patterns .Batch or NRT or RT processing. andamp; capable of providing design andamp; architecture of typical business problems. • Ability to work independently on modules . estimate organize work test and contribute to SDLC. • Collaborate with architect and leads to develop application architecture and ensure coherence • Ensure conformity to NFRs established for the project • Design reusable and implement good quality code • Hands-on experience in working with programming languages such as Python Scala and Java • Experience with Big Data technologies such as Hadoop Kafka NoSQL databases • Familiarity with AWS or GCP cloud deployment models • Self-starter challenger and analytical thinker • 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. • Experience of developing data pipelines using tools such as Spark Python AWS Glue Azure Data Factory • Hands-on experience in Dataflow Apache Beam Spark Hadoop Kafka BigQuery Data Catalogue Airflow etc. • Dynamic who demonstrates a very positive attitude • Strong Analytical and Communication Skills • Excellent written and verbal communication skills

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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.

COVID-19 update:  The safety and well-being of our candidates, our people and their families continues to be a top priority. Until travel restrictions change, interviews will continue to be conducted virtually. 

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