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Data Engineer

Data Engineer

Accenture
5-7 Years
Not Disclosed
Early Applicant
  • Posted 4 hours ago
  • Be among the first 10 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 : Snowflake Data Warehouse

Good to have skills : Data Build Tool, Data Engineering

Minimum 5 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. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. Responsibilities also encompass implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. This position requires continuous collaboration with different teams to optimize data workflows and support organizational data needs effectively.

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.
  • Provide solutions to problems for their immediate team and across multiple teams.
  • Lead efforts to optimize data pipeline performance and scalability.
  • Mentor junior team members to enhance their technical skills and project contributions.
  • Coordinate cross-functional initiatives to align data strategies with business objectives.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Snowflake Data Warehouse, Data Engineering, Data Build Tool.
  • Good To Have Skills: Experience with Data Engineering, Data Build Tool.
  • Strong knowledge of data pipeline architecture and best practices for data integration.
  • Experience in designing and implementing ETL processes to support data migration and transformation.
  • Familiarity with cloud-based data warehousing solutions and scalable data storage techniques.
  • Ability to troubleshoot and optimize complex data workflows to ensure high data quality and availability.

Additional Information:

  • The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.
  • This position is based at our Bengaluru office.
  • A 15 years full time education is required.




More Info

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Key Skills

Snowflake Data Warehouse

ETL processes

Data Build Tool

Data pipeline architecture

Scalable data storage techniques

Cloud-based data warehousing solutions

About Company

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