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Data Engineer (AWS Glue, PySpark, 5-7 yrs)

Data Engineer (AWS Glue, PySpark, 5-7 yrs)

ARCHER
5-7 Years
Not Disclosed
Early Applicant
  • Posted 2 hours ago
  • Be among the first 10 applicants

Job Description

Archer is collaborating with Accenture to connect them with exceptional professionals for this role.

Project Role

Data Engineer

Project Role Description

Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must Have Skills

AWS Glue, PySpark

Good To Have Skills

NA

Minimum

5

Year(s) Of Experience Is Required

Educational Qualification :

15 years full time education

Summary

As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Your role will also include troubleshooting data issues and optimizing data workflows to enhance performance and reliability.

Roles & Responsibilities

  • Expected to be an SME.
  • Collaborate and manage the team to perform.
  • Responsible for team decisions.
  • Engage with multiple teams and contribute on key decisions.
  • Provide solutions to problems for their immediate team and across multiple teams.
  • Mentor junior team members to enhance their skills and knowledge.
  • Continuously evaluate and improve data processes to ensure efficiency and effectiveness.

Professional & Technical Skills

  • Must To Have Skills: Proficiency in AWS Glue, PySpark.
  • Strong experience with data pipeline development and management.
  • Proficient in ETL processes and data integration techniques.
  • Solid understanding of data quality frameworks and best practices.
  • Experience with cloud-based data solutions and architectures.

Additional Information

  • The candidate should have minimum 7.5 years of experience in AWS Glue.
  • This position is based at our Bengaluru office.
  • A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

More Info

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Key Skills

data pipeline development

ETL processes

data integration techniques

data quality frameworks

About Company

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