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 : AWS Glue, PySpark
Good to have skills : NA
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 requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for business needs.
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 professional growth and skill development.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in AWS Glue, PySpark.
- Experience in designing and managing scalable data pipelines and workflows.
- Strong knowledge of cloud-based data processing and storage solutions.
- Ability to troubleshoot and resolve complex data integration issues.
- Familiarity with data governance and security best practices.
Additional Information:
- The candidate should have minimum 5 years of experience in AWS Glue.
- This position is based at our PDC3B - SEZ office.
- A 15 years full time education is required.
