Data Engineer @ Accenture

Job Description

Project Role : Data EngineerProject 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 : Data Architecture PrinciplesGood to have skills : NA
Minimum 3 year(s) of experience is requiredEducational Qualification : 15 years full time educationSummary:
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 requires building and managing data pipelines to facilitate smooth data flow and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing processes to extract, transform, and load data efficiently across various systems, enabling seamless data migration and deployment. Collaboration with different teams to align data solutions with organizational needs is an integral part of the daily activities.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 data solutions.

Monitor and optimize data pipelines to ensure high performance and reliability.

Document data architecture and processes to maintain clarity and support knowledge sharing.

Assist junior team members by providing guidance and support in their tasks.Professional & Technical Skills: Must To Have Skills:

Proficiency in Data Architecture Principles.

Strong knowledge of data modeling techniques and best practices.

Experience with designing and implementing ETL processes.

Familiarity with data storage solutions and database management systems.

Ability to troubleshoot and resolve data pipeline issues efficiently.

Understanding of data governance and data quality management.

The candidate should have minimum 3 years of experience in Data Architecture Principles.

This position is based at our Pune office.

A 15 years full time education is required.Qualification 15 years full time education

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Accenture
Location(s): Pune

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Rs 0 - 50K PM Rs 50K - 1 LPA Rs 1.0 - 1.5 LPA Rs 1.5 - 2.0 LPA Rs 2.0 - 2.5 LPA Rs 2.5 - 3.0 LPA Rs 3.0 - 3.5 LPA Rs 3.5 - 4.0 LPA Rs 4.0 - 4.5 LPA Rs 4.5 - 5.0 LPA Rs 5 - 6 LPA Rs 6 - 7 LPA Rs 7 - 8 LPA Rs 8 - 9 LPA Rs 9 - 10 LPA Rs 10 - 12 LPA Rs 12 - 14 LPA Rs 14 - 16 LPA Rs 16 - 18 LPA Rs 18 - 20 LPA Rs 20 - 22 LPA Rs 22 - 24 LPA Rs 24 - 26 LPA Rs 26 - 28 LPA Rs 28 - 30 LPA Rs 30 - 32 LPA Rs 32 - 34 LPA Rs 34 - 36 LPA Rs 36 - 38 LPA Rs 38 - 40 LPA Rs 40 - 42 LPA Rs 42 - 44 LPA Rs 44 - 46 LPA Rs 46 - 48 LPA Rs 48 - 50 LPA Rs 50 - 75 LPA Rs 75 Lakh - 1C PA Rs 1 Crore+ PA

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Keyskills:   data engineer data pipelines storage solutions data quality management data migration data architecture collection data quality database management data storage quality management data modeling design data governance etl architecture