Data Engineer
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Job Description
Data Engineer for Terawatt, designing and implementing scalable data architectures and optimizing data pipelines for analytics.
Responsibilities:
- Design, build, and maintain scalable data architectures and systems, including data lakes
- Architect and optimize ETL/ELT pipelines for seamless data ingestion and transformation from multiple data sources
- Develop and enforce data governance and quality assurance standards to ensure data accuracy, integrity, and consistency across systems
- Implement best practices in data modeling and database design to support business intelligence and analytics
- Collaborate with data analysts, scientists, and other stakeholders to understand data requirements and deliver efficient data solutions
- Conduct regular data validation, troubleshooting, and performance tuning of data systems to optimize efficiency
- Build and maintain production-ready data lake pipelines that transform raw data into ML-ready features, training datasets, and reliable batch predictions
Requirements:
- Bachelor’s degree in Computer Science, Data Engineering, or a related field
- 3+ years of experience in data engineering, with a focus on data architecture
- Proficiency in designing and implementing data warehouses, databases, and data lakes
- Experience with cloud platforms such as AWS, GCP, or Azure for data storage and processing
- Expertise in SQL and proficiency with NoSQL databases (e.g., MongoDB)
- Strong knowledge of ETL/ELT processes and tools (e.g., databricks, Airflow, or AWS Glue)
- Experience in data modeling, schema design, and performance tuning
- Hands-on experience with Big Data technologies like Hadoop, Spark, or Kafka
- Understanding of data governance frameworks and quality assurance processes.
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