Data Engineer
Accenture
Data Engineer
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: PySpark
Minimum 5 year(s) of experience is required
15 years full time education required
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 migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization.
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 enhance efficiency and effectiveness.
Professional & technical skills:
- Must to have skills: Proficiency in PySpark.
- Good to have skills: Experience with Apache Kafka.
- Strong understanding of data warehousing concepts and architecture.
- Familiarity with cloud platforms such as AWS or Azure.
- Experience in SQL and NoSQL databases for data storage and retrieval.
This position is based in Chennai.