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Data Engineer with Data Build Tool :: W2 Position :: Remote

Remote, USA Full-time Posted 2026-07-28
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. Apply tot his job Apply To this Job

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