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Lead and architect large-scale data engineering initiatives: design cloud-ready ELTL/real-time data platforms, drive AI adoption, ensure SLAs and quality across SDLC, mentor teams, and manage complex projects and vendor selections.
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Design, build, and maintain scalable data pipelines and cloud data platforms to support AI/ML workloads. Deploy, monitor, and operationalize machine learning models, implement CI/CD and MLOps, ensure data quality, scalability, and governance while collaborating with data scientists, engineers, and stakeholders.
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Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Build and operate scalable batch and streaming data pipelines, implement transformations and analytics-ready data models, enforce data quality and observability, apply software engineering practices (CI/CD, testing), automate workflows, support production operations, and leverage AI to improve testing and pipeline reliability.
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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 : Apache Kafka
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also requires implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. The work environment encourages collaboration and continuous improvement to meet evolving data needs and support organizational objectives.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Monitor and optimize data workflows to enhance performance and reliability.
- Document processes and maintain clear communication regarding data architecture and pipeline status.
- Support junior team members by sharing knowledge and assisting with technical challenges.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Apache Kafka.
- Experience with designing and managing real-time data streaming platforms.
- Strong understanding of data pipeline architecture and ETL processes.
- Familiarity with distributed systems and message queuing technologies.
- Ability to troubleshoot and resolve data flow issues efficiently.
- Knowledge of data storage solutions and integration techniques.
Additional Information:
- The candidate should have minimum 3 years of experience in Apache Kafka.
- This position is based at our Mumbai office.
- A 15 years full time education is required.
15 years full time education
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 : Apache Kafka
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also requires implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. The work environment encourages collaboration and continuous improvement to meet evolving data needs and support organizational objectives.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Monitor and optimize data workflows to enhance performance and reliability.
- Document processes and maintain clear communication regarding data architecture and pipeline status.
- Support junior team members by sharing knowledge and assisting with technical challenges.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Apache Kafka.
- Experience with designing and managing real-time data streaming platforms.
- Strong understanding of data pipeline architecture and ETL processes.
- Familiarity with distributed systems and message queuing technologies.
- Ability to troubleshoot and resolve data flow issues efficiently.
- Knowledge of data storage solutions and integration techniques.
Additional Information:
- The candidate should have minimum 3 years of experience in Apache Kafka.
- This position is based at our Mumbai 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
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Accenture Airoli, Mahārāshtra, IND Office
Airoli, India
Accenture Mumbai, Maharashtra, IND Office
Ganpatrao Kadam Marg, off Senapati Bapat Marg, Lower Parel West, Lower Parel, Mumbai, Maharashtra, India, 400013
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