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 : Google BigQuery
Good to have skills : Microsoft SQL Server, Python (Programming Language)
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 includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also 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 multiple teams and applications.
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 workflows to improve system efficiency and reliability.
- Mentor junior team members to support their professional growth and enhance team capabilities.
- Coordinate cross-functional efforts to align data engineering initiatives with organizational goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Google BigQuery, Microsoft SQL Server, Python (Programming Language).
- Good To Have Skills: Experience with Microsoft SQL Server, Python (Programming Language).
- Strong knowledge of data pipeline architecture and best practices for data ingestion and transformation.
- Experience in designing scalable and maintainable ETL processes to handle large volumes of data.
- Familiarity with cloud-based data warehousing solutions and their integration with various data sources.
- Ability to troubleshoot and optimize query performance to ensure efficient data retrieval and processing.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Google BigQuery.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
