Data Engineer
Data Engineer
accenture in the philippines- Posted 3 hours ago
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Job 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.
Summary: As a Data Engineer, a typical day involves designing and developing robust data solutions that support the generation, collection, and processing of data. This role includes creating and maintaining efficient data pipelines, ensuring the accuracy and quality of data, and managing the smooth migration and deployment of data across various systems. Collaboration with different teams to align data strategies and support organizational goals is an integral part of daily activities. Roles & Responsibilities: - 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. - Facilitate effective communication and coordination among team members to ensure project milestones are met. - Support continuous improvement initiatives by identifying opportunities to optimize data workflows and processes. - Mentor and guide team members to enhance their skills and promote knowledge sharing. - Monitor project progress and address any challenges that may impact delivery timelines. Professional & Technical Skills: - Required Skill: Expert proficiency in Data Modeling Techniques and Methodologies. - Strong understanding of database design principles and data architecture best practices. - Experience with building and optimizing extract, transform, and load processes to handle large volumes of data. - Familiarity with data quality frameworks and techniques to ensure data integrity and consistency. - Proficient in designing scalable data pipelines that support real-time and batch processing. - Knowledge of data governance and compliance standards to maintain secure and reliable data environments. Additional Information: - The candidate should have minimum 5 years of experience in Data Modeling Techniques and Methodologies. - This position is based at our Manila office. Minimum 5 year(s) of experience is required
Summary: As a Data Engineer, a typical day involves designing and developing robust data solutions that support the generation, collection, and processing of data. This role includes creating and maintaining efficient data pipelines, ensuring the accuracy and quality of data, and managing the smooth migration and deployment of data across various systems. Collaboration with different teams to align data strategies and support organizational goals is an integral part of daily activities. Roles & Responsibilities: - 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. - Facilitate effective communication and coordination among team members to ensure project milestones are met. - Support continuous improvement initiatives by identifying opportunities to optimize data workflows and processes. - Mentor and guide team members to enhance their skills and promote knowledge sharing. - Monitor project progress and address any challenges that may impact delivery timelines. Professional & Technical Skills: - Required Skill: Expert proficiency in Data Modeling Techniques and Methodologies. - Strong understanding of database design principles and data architecture best practices. - Experience with building and optimizing extract, transform, and load processes to handle large volumes of data. - Familiarity with data quality frameworks and techniques to ensure data integrity and consistency. - Proficient in designing scalable data pipelines that support real-time and batch processing. - Knowledge of data governance and compliance standards to maintain secure and reliable data environments. Additional Information: - The candidate should have minimum 5 years of experience in Data Modeling Techniques and Methodologies. - This position is based at our Manila office. Minimum 5 year(s) of experience is required
More Info
Key Skills
Data architecture best practices
Scalable data pipelines
Data quality frameworks
Data Modeling Techniques and Methodologies
Database design principles
Data governance and compliance standards
About Company
Skills:
data quality assurance , Sql, FastAPI, Python, Non-regression testing, GitHub Actions, ETL data pipeline architecture, Backend APIs, Observability monitoring, CI CD pipelines, Cloud platforms, Data validation frameworks
Skills:
Metadata Management, Data Lineage, Sql, Data Analysis, data quality management, master data management, Root Cause Analysis, data governance frameworks