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Data Engineer

Data Engineer

Accenture
Early Applicant
  • 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 : Databricks Unified Data Analytics Platform

Good to have skills : NA

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 requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves 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, contributing to the overall success of data management initiatives.

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 development and optimization of data pipelines to support business needs.
  • Ensure adherence to data governance and compliance standards within the team.
  • Mentor junior team members to foster skill development and knowledge sharing.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
  • Experience in designing and implementing scalable ETL processes.
  • Strong knowledge of data integration techniques and data pipeline orchestration.
  • Familiarity with cloud-based data storage and processing solutions.
  • Ability to troubleshoot and optimize data workflows for performance and reliability.
  • Understanding of data quality frameworks and best practices.

Additional Information:

  • The candidate should have minimum 12 years of experience in Databricks Unified Data Analytics Platform.
  • This position is based at our Bengaluru office.
  • A 15 years full time education is required.




More Info

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Key Skills

Databricks Unified Data Analytics Platform

ETL processes

Data integration techniques

Data pipeline orchestration

Data quality frameworks

Cloud-based data storage and processing solutions

About Company

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