Data Engineer

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 : Amazon Redshift, AWS S3 (Simple Storage Service), AWS DynamoDB
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, ensuring that data infrastructure supports organizational needs effectively and reliably.

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 the development and optimization of data pipelines to support business requirements.
- Ensure adherence to best practices in data management and governance within the team.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate cross-functional efforts to troubleshoot and resolve complex data-related challenges.

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 ETL process design.
- Experience in optimizing data storage and retrieval for performance and scalability.
- Familiarity with cloud-based data solutions and integration techniques.
- Ability to work with large datasets and ensure data quality and consistency.
- The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.




Qualification
15 years full time education