Data Engineer I managing data engineering functions like modeling, profiling, and ETL using Azure and Databricks. Requires a degree and 2+ years of relevant experience to provide effective data solutions.
About the role
- Data Engineer responsible for developing and maintaining robust ETL/ELT data pipelines for a global consulting firm. Focusing on data integration and performance optimization across various platforms.
Responsibilities
- Responsible for designing, developing, and maintaining robust, scalable ETL/ELT data pipelines
- Ensuring efficient integration across multiple data sources (APIs, relational and NoSQL databases, and cloud platforms)
- Working on performance optimization and reliability of data flows
- Implementing advanced error handling and debugging
- Deploying and maintaining pipelines in production environments
- Ensuring operational quality and stability
- Strong technical profile with a focus on efficiency and expertise in performance tuning of scripts and queries for large datasets.
Requirements
- 5+ years of experience with multi-source integrations (APIs, databases, cloud platforms)
- ETL/ELT pipelines, advanced error handling and debugging, and deployment experience
- Experience with Python and performance tuning for large datasets
- Soft skills: analytical, detail-oriented, and performance-driven
- Strong troubleshooting skills
- Technical autonomy and good communication to discuss solutions with technical and business stakeholders.
Benefits
- Meal/Food Allowance (Flash Card)
- Health Insurance
- Home Office Allowance
- Commuter allowance or Fuel Allowance (when onsite)
- Learning incentive programs (Udemy)
- Affordable corporate English classes.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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