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
Good to have skills :
NA
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, contributing to the overall efficiency and reliability of data operations. 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. - Collaborate with cross-functional teams to understand data requirements and deliver effective solutions. - Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Glue, PySpark. - Strong understanding of data modeling and database design principles. - Experience with data warehousing concepts and technologies. - Familiarity with cloud computing services and architectures. - Knowledge of data governance and data quality best practices. Additional Information: - The candidate should have minimum 3 years of experience in AWS Glue. - This position is based at our Pune office. - A 15 years full time education is required.
15 years full time education
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