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 7.5 year(s) of experience is required. Educational Qualification: 15 years full time education.
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 data requirements and contribute to the overall data strategy, ensuring that the solutions you develop are robust and scalable. You will also monitor and optimize existing data processes to enhance performance and reliability, making data accessible and actionable for stakeholders.
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. Develop and implement best practices for data management and processing. Mentor junior team members to enhance their skills and knowledge.
Must To Have Skills: Proficiency in PySpark. Experience with data warehousing solutions and architecture. Strong understanding of ETL processes and data pipeline development. Familiarity with cloud platforms such as AWS or Azure. Knowledge of data modeling and database design principles.
This position is based at our Mumbai office.