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: Databricks Unified Data Analytics Platform. Good to have skills: Microsoft Azure Databricks, Microsoft Azure Analytics Services, PySpark. Minimum 5 years of experience is required. 15 years full time education is 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 data requirements and deliver effective solutions that meet business needs. Roles & responsibilities include: being an SME, collaborating and managing the team, engaging with multiple teams, providing solutions to problems, mentoring junior team members, and continuously evaluating and improving data processes to enhance efficiency.
Professional & technical skills include proficiency in Databricks Unified Data Analytics Platform, experience with Microsoft Azure Analytics Services, Microsoft Azure Databricks, PySpark, strong understanding of data pipeline architecture and design, experience with ETL processes and data integration techniques, and familiarity with data quality frameworks and best practices.
This position is based at our Pune office.