Data Engineer
Analytic Recruiting Inc.
United States
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$180,000.0
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
JavaScript (Programming Language)
Amazon Web Services
Microsoft Azure
Continuous Integration
Python (Programming Language)
SQL Databases
TypeScript
Google Cloud
Snowflake
Databricks
Job description
- Define and implement scalable data pipeline architectures, including Medallion Architecture and tiered data structures
- Lead adoption of managed and serverless cloud offerings across lakehouse and warehouse platforms
- Drive best practices for ETL/ELT workflows, data governance, and data quality using tools like dbt and Fivetran
- Enforce data security and access control policies across all pipelines and platforms
- Ensure robust BI integrations across heterogeneous environments (Tableau, Looker, Power BI)
- Serve as a client-facing technical leader, presenting complex architectural decisions to stakeholders
Requirements
- 5+ years hands-on data engineering experience with cloud platforms (AWS, Azure, GCP)
- Mastery of Python and advanced SQL
- Deep expertise in ETL/ELT optimization, dimensional modeling, and data security
- Expertise across 3-5 major platforms: Snowflake, Databricks, AWS, GCP, Azure, or Fabric
- Extensive CI/CD and Infrastructure as Code experience
- Proven ability to lead client engagements and influence technical direction in a consulting environment
Preferred:
- Experience with TypeScript/JavaScript/Java
- Consulting experience
Keywords: Python, SQL, Databricks, Snowflake, Azure, AWS
About the company
An AI consultancy firm that is growing quickly is hiring a Senior Data Engineer with 5+ years of experience to define architecture and lead technical delivery across a portfolio of Private Equity clients in several different industries.
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