Data Engineer

Accenture PLC; Khordha; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Accenture PLC seeks a Data Engineer to design, develop, and maintain comprehensive data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate data across systems.

The role requires extensive experience with Reltio, data architecture principles, and AWS architecture, with a focus on scalable data infrastructure and collaboration across teams.

Qualifications

• Proficiency in Reltio, data architecture principles and AWS architecture.
• Experience with data integration techniques and building data pipelines.
• Cloud-based data platforms, especially AWS ecosystem.

Responsibilities

• Act as SME, guide the team and drive decisions.
• Lead design and implementation of scalable data architectures.
• Mentor junior team members and support their growth.
• Coordinate cross-functional efforts to align data solutions with goals.

Skills

Reltio

Data Architecture

AWS Architecture

Education

15 years education

Job description

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

Reltio, Data Architecture Principles, AWS Architecture

Good to have skills

NA

Minimum 12 year(s) of experience is required

Minimum 12 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. Collaboration with different teams to align data strategies and optimize workflows is an integral part of daily activities, ensuring robust and scalable data infrastructure.

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.
• Expected to provide solutions to problems that apply across multiple teams.
• Lead the design and implementation of scalable data architectures to support business needs.
• Mentor junior team members and support their professional growth.
• Coordinate cross-functional efforts to ensure data solutions align with organizational goals.

Professional & Technical Skills

• Must To Have Skills: Proficiency in Reltio, Data Architecture Principles, AWS Architecture.
• Strong knowledge of data integration techniques and best practices for building data pipelines.
• Experience with cloud-based data platforms and services, particularly within the Amazon Web Services ecosystem.
• Ability to design and optimize extract, transform, and load processes for large-scale data migration.
• Familiarity with data governance and quality assurance methodologies to maintain data accuracy and consistency.

Additional Information

• The candidate should have minimum 12 years of experience in Reltio.
• This position is based at our BBDC1A - NON-STPI location.
• A 15 years full time education is required.

Equal Employment Opportunity Statement

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.

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