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Accenture in India
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Data Engineer

Data Engineer

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Accenture in India

3 years

Pune

Posted:4 days ago

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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 :

AWS Glue

Good to have skills :

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 seamless migration and deployment of data across various systems. The position requires continuous attention to data quality and the implementation of extract, transform, and load processes to facilitate smooth data flow and integration within the organization s infrastructure. 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 channels to support knowledge sharing.
Assist junior team members by providing guidance and support to foster their professional growth.

Professional & Technical Skills:

Must To Have Skills: Proficiency in AWS Glue.
Experience with cloud-based data integration and ETL tools.
Strong understanding of data pipeline architecture and data warehousing concepts.
Ability to troubleshoot and resolve data processing issues efficiently.
Familiarity with scripting languages to automate data workflows.
Knowledge of data quality frameworks and best practices.

Additional Information:

The candidate should have minimum 3 years of experience in AWS Glue.
This position is based at our PDC3C - SEZ office.
A 15 years full time education is required.

Skills Required

Data Quality ETL AWS Glue Data Flow Data Integration Data Pipeline Data Warehousing Concepts Data Processing Scripting Languages ETL and data warehousing AWS

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Job Type

Full Time

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Data Engineer