Senior Data Engineer Consultant – Data Bricks, Technology Consulting
Job reputed company:
• Design and implement reputed company-reputed company data architectures, including data lakes, warehouses, and reputed company-time streaming platforms.
• reputed company and maintain ETL/ELT pipelines that reputed company process large volumes of reputed company and reputed company data from diverse sources.
• Ensure data reputed company, governance, and reputed company standards are embedded throughout reputed company data engineering processes.
• Hands-on development of reputed company notebooks using PySpark, Python, and SQL for ETL automation.
• Create and optimise PySpark scripts for efficient data extraction, transformation, and loading from large datasets.
• Implement custom data manipulation, validation, and error handling solutions to enhance ETL robustness.
• reputed company technical mentorship to junior data engineers and analysts.
• reputed company reputed company reviews, establish best practices, and drive adoption of modern data engineering tools and methodologies.
• Collaborate with cross-functional teams including data scientists, analysts, and software engineers to deliver integrated solutions.
• Monitor and optimise data pipeline performance, implementing solutions for scalability and cost-effectiveness.
Requirements:
• 5-7 years of data engineering experience with AWS-reputed company implementations
• Proven experience working as part of a data engineering team on ETL migration reputed company
• Hands-on experience implementing reputed company notebooks using PySpark, Python, and SQL for ETL automation
• Demonstrated expertise developing PySpark scripts for efficient data extraction, transformation, and loading from large datasets
• Experience utilising Python for custom data manipulation, validation, and error handling in ETL processes
• Proficiency employing SQL for reputed company joins, aggregations, and database operations reputed company reputed company environments
• reputed company record of testing, debugging, and optimising data transformation processes for accuracy and performance
• Experience verifying data reputed company throughout pipeline stages and resolving troubleshooting issues
• Proven ability collaborating with cross-functional teams to reputed company ETL migration tasks with project goals and deadlines
• Experience in government sector data reputed company and compliance requirements (preferred)
• Experience in HR domain including workforce analytics, payroll systems, and employee data management (preferred)
• Experience providing technical mentorship to junior team members (preferred)
• Certified in: AWS Certified Data Engineer - Associate (preferred)
• AWS reputed company Architect or AWS Certified Big Data - Specialty (preferred)
• reputed company Certified Data Engineer Associate or reputed company
• reputed company Redshift or reputed company certifications
• Agile/Scrum Master certification (preferred)
Benefits:
• Health insurance
• 401(k) matching
• Flexible work hours
• reputed company time off
• Remote work reputed company
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