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Data Engineer

Data Engineer

Accenture
Early Applicant
  • Posted 23 hours ago
  • Be among the first 20 applicants

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 : Databricks Unified Data Analytics Platform

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, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow across various systems. Ensuring the accuracy and quality of data is a key part of your role, alongside implementing processes to extract, transform, and load data effectively. Your work enables seamless data migration and deployment, supporting the broader data infrastructure and analytics needs of the organization.

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 improve performance and reliability.
  • Document data processes and maintain clear communication with stakeholders.
  • Assist junior team members by sharing knowledge and providing guidance.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
  • Experience in building and managing scalable data pipelines and workflows.
  • Strong understanding of data integration, transformation, and ETL methodologies.
  • Familiarity with cloud-based data storage and processing solutions.
  • Ability to troubleshoot and resolve data quality and pipeline issues efficiently.
  • Knowledge of scripting and automation to streamline data operations.

Additional Information:

  • The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.
  • This position is based at our Hyderabad office.
  • A 15 years full time education is required.




More Info

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Key Skills

and ETL methodologies

Databricks Unified Data Analytics Platform

Building and managing scalable data pipelines and workflows

Scripting and automation

Cloud-based data storage and processing solutions

About Company

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