
High Performance Data Engineer
4 days ago
We are seeking a skilled and motivated data engineer to support diverse client projects across industries. The ideal candidate will have a strong foundation in data architecture, ETL development, and cloud technologies with a passion for building scalable and efficient data solutions.
Data engineers play a vital role in designing, developing, and maintaining robust data pipelines and ETL processes to support analytics and reporting needs.
Key Responsibilities:
- Design and develop data pipelines and ETL processes to support analytics and reporting needs.
- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality solutions.
- Implement data integration solutions across structured and unstructured data sources.
- Evaluate and ensure data quality, integrity, and security across all stages of the data lifecycle.
- Optimize data workflows for performance and scalability in cloud and on-premise environments.
- Support data migration and transformation initiatives for client projects.
- Monitor and troubleshoot data pipeline issues and provide timely resolutions.
Required Qualifications:
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
- At least 3 years of experience in data engineering or related roles.
- Proficiency in SQL and Python or Scala programming languages.
- Experience with data pipeline tools such as Apache Spark, Kafka, Airflow, or similar.
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Strong understanding of data warehousing concepts and tools.
- Knowledge of data governance, security, and compliance standards.
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