10 BDC7B 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 cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization ensuring that data solutions are efficient scalable and aligned with business objectives. You will also monitor and optimize existing data processes to enhance performance and reliability making data accessible and actionable for stakeholders. 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 data architects and analysts to design data models that meet business needs.- Develop and maintain documentation for data processes and workflows. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery.- Experience with data warehousing concepts and architecture.- Strong understanding of ETL processes and data integration techniques.- Familiarity with SQL and data querying languages.- Knowledge of data quality frameworks and best practices. Additional Information: - The candidate should have minimum 3 years of experience in Google BigQuery.- This position is based at our Bengaluru office.- A 15 years full time education is required.
10 BDC7B 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 sys...
10 BDC7B 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 cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization ensuring that data solutions are efficient scalable and aligned with business objectives. You will also monitor and optimize existing data processes to enhance performance and reliability making data accessible and actionable for stakeholders. 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 data architects and analysts to design data models that meet business needs.- Develop and maintain documentation for data processes and workflows. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery.- Experience with data warehousing concepts and architecture.- Strong understanding of ETL processes and data integration techniques.- Familiarity with SQL and data querying languages.- Knowledge of data quality frameworks and best practices. Additional Information: - The candidate should have minimum 3 years of experience in Google BigQuery.- This position is based at our Bengaluru office.- A 15 years full time education is required.
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