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
Positive to have skills :NA
Minimum 2 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 migrate and deploy data across various systems. You will collaborate with team members to enhance data workflows and contribute to the overall efficiency of data management practices.
Roles Responsibilities:
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Assist in the optimization of data processing workflows to enhance performance.
Collaborate with cross-functional teams to gather requirements and deliver effective data solutions.
Skilled Technical Skills:
Must To Have Skills:
Proficiency in AWS Glue, PySpark.
Experience with data modeling and database design principles.
Robust understanding of ETL processes and data integration techniques.
Familiarity with cloud-based data storage solutions and architectures.
Knowledge of data governance and data quality best practices.
Additional Information:
The candidate should have minimum 2 years of experience in AWS Glue.
This position is based at our Pune office.
A 15 years full time education is required. Qualification 15 years full time education
📌 Data Engineer Pune (India)
🏢 Accenture
📍 India
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