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Data Engineer

Data Engineer

Accenture
3-5 Years
Not Disclosed

This job is no longer accepting applications

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 : Snowflake Data Warehouse

Good to have skills : Data Engineering

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 data generation, collection, and processing activities. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle. Your role includes implementing processes to extract, transform, and load data, enabling seamless migration and deployment across various systems. This position requires a proactive approach to managing data infrastructure and collaborating with team members to optimize data operations and support organizational objectives.

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 troubleshoot data pipelines to ensure reliability and performance.
  • Document data processes and workflows 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 Snowflake Data Warehouse, Data Engineering.
  • Strong knowledge of data modeling concepts and best practices within cloud data platforms.
  • Experience in designing and optimizing extract, transform, and load processes for large datasets.
  • Familiarity with SQL and scripting languages to automate data workflows and enhance pipeline efficiency.
  • Ability to work with data integration tools and manage data quality assurance techniques.
  • Understanding of cloud infrastructure and security considerations related to data storage and processing.

Additional Information:

  • The candidate should have minimum 3 years of experience in Snowflake Data Warehouse.
  • This position is based at our HDC3B - SEZ location.
  • A 15 years full time education is required.

, 15 years full time education



More Info

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Key Skills

data modeling concepts

data integration tools

security considerations

Snowflake Data Warehouse

extract transform and load processes

data quality assurance techniques

About Company

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