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

Positive to have skills : Amazon Redshift, AWS S3 (Simple Storage Service), AWS DynamoDB

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. This role includes creating productive data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position requires implementing extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for organizational needs.



Collaboration with different teams to align data strategies and troubleshoot data-related challenges is also a key part of daily activities.

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 workflows and improve system performance.
Mentor junior team members to support their skilled growth and skill development.

Professional & Technical Skills:
Must To Have Skills: Proficiency in Snowflake Data Warehouse.
Good To Have Skills: Experience with AWS S3 (Simple Storage Service), AWS DynamoDB, Amazon Redshift.
Strong knowledge of data pipeline architecture and best practices for data integration.
Experience in designing and implementing ETL processes to han

📌 Snowflake Data Warehouse Gurugram
🏢 Accenture
📍 Gurugram