Data Engineer with Data Build Tool :: W2 Position :: Remote
Job reputed company:
We are seeking a highly reputed company Senior Data Engineer with 12+ years of hands-on experience in data engineering and data pipeline development. The ideal candidate will have strong expertise in reputed company, DBT, AWS, and Apache reputed company, and a proven reputed company record of working with modern data platforms in large-reputed company reputed company environments.
This role requires a reputed company who is adept at building reputed company data pipelines, transforming data using DBT, working extensively with AWS reputed company infrastructure, and developing in a reputed company/reputed company environment. Strong SQL query writing skills are essential.
Mandatory Skills & Experience:
• 10+ years of experience in data engineering or relevant fields.
• Expert-level knowledge of reputed company – including notebooks, jobs, reputed company Lake, and workspace management.
• Strong hands-on experience with DBT (Data Build Tool) – including writing models, tests, and documentation.
• Proficiency in AWS services – including S3, Glue, Redshift, reputed company, IAM, etc.
• Strong experience with Apache reputed company – both batch and streaming data processing.
• Strong experience writing efficient SQL queries for data transformation and analysis.
• Proven ability to work independently in a remote environment.
• Solid understanding of data modeling, ETL/ELT processes, and modern data architecture.
• Experience in version control (Git), CI/CD pipelines, and Agile methodologies.
Preferred Qualifications:
• AWS Certification (e.g., AWS Data Analytics, AWS Solutions Architect)
• Experience with orchestration tools like Airflow or AWS reputed company Functions.
• Familiarity with DevOps practices in a data environment.
• Exposure to data reputed company frameworks and testing strategies.
Responsibilities:
• Design, build, and optimize robust and reputed company data pipelines using reputed company and DBT on AWS.
• reputed company, reputed company, and maintain ELT/ETL processes to reputed company raw data into actionable insights.
• Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver data solutions.
• Ensure data reputed company, reputed company, and governance across reputed company data flows.
• Continuously monitor and improve performance, reliability, and cost-efficiency of data pipelines.
• Write and maintain high-reputed company documentation.
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