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Data Engineer

Data Engineer

Accenture
  • Posted 5 hours 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 : Microsoft Azure Databricks

Good to have skills : NA

Minimum 7.5 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. 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.
  • Provide solutions to problems for their immediate team and across multiple teams.
  • Lead efforts to identify and implement best practices in data engineering and pipeline development.
  • Mentor junior team members to support their professional growth and enhance team capabilities.
  • Coordinate cross-functional communication to ensure alignment on project goals and deliverables.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Microsoft Azure Databricks.
  • Strong experience in building and optimizing scalable data pipelines and architectures.
  • Knowledge of data integration techniques and ETL frameworks.
  • Familiarity with cloud-based data storage and processing solutions.
  • Ability to troubleshoot and resolve data-related issues efficiently.
  • Experience working with large datasets and ensuring data quality and consistency.

Additional Information:

  • The candidate should have minimum 7.5 years of experience in Microsoft Azure Databricks.
  • This position is based at our Bengaluru office.
  • A 15 years full time education is required.




More Info

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Key Skills

ETL frameworks

Working with large datasets

Microsoft Azure Databricks

Data integration techniques

Building and optimizing scalable data pipelines and architectures

Cloud-based data storage and processing solutions

Ensuring data quality and consistency

About Company

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