Accenture Off Campus Freshers Drive 2022: Greetings From TblogQus Jobs, Today we bring you a new job i.e Accenture Off Campus for the role of Ecosystem Junior Data Engineer Jobs. Kindly read the full post for all the details regarding the i.e Organization Name, Job Profile, Job Location, Education Requirements, Job Description, Job Skills Requirement, Preferred Skills, Experience Level and Apply Link Below:-
Job Summary of Accenture Jobs & Careers Freshers Hiring:
Organization: Accenture
Job Profile: Ecosystem Junior Data Engineer
Job Location: India-Remote
Education: Graduation/post-graduation in computers/Engineering from a reputed institute
Experience: Freshers
Accenture Freshers recruitment drive:
What would you do?
Job description:
JOB SUMMARY
The candidate to work closely with all internal Ecosystem stakeholders on the Data Science projects. We use data science as a mean to increase knowledge at a fast pace, blending classic statistics with machine learning. The Junior Data Engineer will support the Data Science team to transform data into a format that can be easily analyzed. They should have expertise in developing, maintaining, and testing infrastructures for data generation & architecting solutions for data scientists that enable them to do design & build data science driven business solutions
KEY RESPONSIBILITIES
• Support the Senior Data Engineer to
o Create and maintain optimal data pipeline architecture
o Assemble large, complex data sets
o Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using relevant technologies like SQL, AWS ‘big data’
o Create data tools for analytics and data scientist team members that assist them in building and optimizing the data science driven business solutions
BASIC QUALIFICATIONS
• Graduation/post-graduation in computers/Engineering from a reputed institute.
ESSENTIAL QUALIFICATIONS
• Have experience with databases administration, ETL
• Have experience in SQL, Python, and data prep
• Experience in supporting global clients or internal stakeholders in data science projects.
• Experience of working across multiple geographic borders and time zones.
PROFESSIONAL QUALIFICATIONS
• Good spoken and written communication skills: able to deal confidently, tactfully, and appropriately with people of different disciplines and at all levels of the organization.
• Comfortable working within a large and complex environment with multiple stakeholders and interest groups.
• Collaborate effectively with the rest of the team to achieve common objectives.
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