Data Engineer
4 days ago
Key Responsibilities:
- Design and develop scalable data pipelines.
- Extract, transform, and load (ETL/ELT) data from various sources.
- Build and maintain data warehouses and data lakes.
- Integrate structured and unstructured data.
- Manage and optimize databases (SQL and NoSQL).
- Ensure data quality, accuracy, and consistency.
- Monitor and improve data pipeline performance.
- Collaborate with data scientists, analysts, and business teams.
- Maintain data security and follow compliance regulations (e.g., GDPR).
- Document data workflows, architecture, and systems.
- Use tools like Apache Spark, Kafka, Airflow, Hadoop, Snowflake, etc.
- Work with cloud platforms like AWS, GCP, or Azure.
- Troubleshoot data issues and perform root cause analysis.
- Automate data validation and cleaning processes.
- Stay updated with emerging data technologies and best practices.
Qualifications & Requirements:
- Bachelors degree in Computer Science, Information Technology, or a related field.
- Minimum of 3+ years of experience in data engineering
- Strong experience in Python, Java, Scala, SQL, AWS, and TypeScript.
- Excellent verbal and written communication skills, with the ability to clearly explain technical concepts to stakeholders at all levels.
- Strong analytical and problem-solving skills, with a focus on continuous improvemen
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