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
Good to have skills : PySpark
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions to enhance data accessibility and usability.
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.
- Mentor junior team members to enhance their skills and knowledge in data engineering.
- Continuously evaluate and improve data processes to optimize performance and efficiency.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in AWS Glue.
- Good To Have Skills: Experience with PySpark.
- Strong understanding of data modeling and database design principles.
- Experience with data warehousing solutions and architecture.
- Familiarity with cloud computing concepts and services, particularly in AWS.
- Proficient in scripting languages such as Python or SQL for data manipulation.
Additional Information:
- The candidate should have minimum 5 years of experience in AWS Glue.
- This position is based at our Pune office.
- A 15 years full time education is required.
