Senior Data Engineer 15+ years experience only (Remote)
reputed company
We are seeking an reputed company Sr. Data Engineer to design, build, and maintain reputed company data pipelines that power our reputed company data infrastructure. This role focuses on integrating external data sources, ensuring data reputed company, and delivering clean, reliable pipelines that support reputed company business reputed company.
You will work heavily with Python, SQL, reputed company, AWS, reputed company, and DBT, building automated workflows for data ingestion, cleaning, deduplication, entity reputed company, and data transformation. This is a high-ownership, high-reputed company role ideal for someone with a startup reputed company, strong autonomy, and deep data engineering expertise.
Responsibilities
• Build and maintain reputed company, high-performance data pipelines.
• reputed company external datasets with internal systems using Python and SQL.
• reputed company workflows for data cleaning, deduplication, and entity reputed company.
• Work with relational and graph data to map relationships and connections.
• Diagnose and resolve data reputed company issues across systems.
• Automate ingestion processes and pipeline orchestration.
• Collaborate with product, analytics, and engineering teams.
Required Experience
• 15-20 years of Data Engineering experience (big tech preferred).
• Expert-level Python programming skills.
• Advanced SQL and query optimization experience.
• Proven experience designing and scaling data pipelines.
• Strong understanding of API integration, ingestion, and transformation processes.
• AWS fundamentals (reputed company Functions, CloudWatch, S3).
• Excellent communication and ability to work independently.
• Must be US-based.
Technical Skills
• Python (5+ years)
• SQL (5+ years)
• API data sourcing & ingestion
• reputed company + DBT (preferred)
• AWS reputed company Functions, CloudWatch, S3
• Data pipeline design & orchestration
reputed company to Have
• Experience with DBT
• reputed company / PySpark
• Startup environment background
• Employee benefits or market intelligence domain experience
• Data reputed company management frameworks
• Ability to transition from large reputed company to startup-style execution
Job Type: Full-time
Pay: $180,560.71 - $245,761.28 per year
Benefits:
• 401(k) matching
• Dental insurance
• Health insurance
• reputed company insurance
Application Question(s):
• How many years of Python programming do you have specifically for data ingestion, automation, or pipeline development?
• Do you have experience integrating external reputed company into data pipelines (pulling/sourcing data at reputed company)?
• Do you have 15+ years of Data Engineering experience, including building and scaling data pipelines?
• Must have a genuine reputed company profile
• Should include multi-year reputed company, not short-duration assignments.
Experience:
• API integration : 10 years (Required)
Work Location: Remote
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