
Data Engineer
6 days ago
Key Responsibilities
- Design, develop, test, and maintain robust data architectures, pipelines, and ETL processes.
- Ensure data quality, integrity, and security across systems and workflows.
- Optimize data systems for performance, scalability, and cost-efficiency.
- Collaborate with cross-functional teams to gather requirements and enable data-driven analytics and insights.
- Monitor, troubleshoot, and resolve issues within data workflows and systems.
- Maintain documentation for data processes, standards, and best Skills & Qualifications :
- Bachelors/Masters degree in Computer Science, Information Technology, Data Engineering, or related field.
- Proven experience with data pipeline tools and ETL frameworks (e.g., Apache Airflow, Talend, NiFi).
- Strong proficiency in SQL and experience with relational/non-relational databases (e.g., MySQL, PostgreSQL, MongoDB).
- Hands-on experience with big data tools (e.g., Hadoop, Spark, Kafka).
- Proficiency in Python/Java/Scala for data processing.
- Knowledge of cloud platforms (AWS, Azure, GCP) and their data services.
- Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
- Strong problem-solving, troubleshooting, and communication Skills (Good to Have) :
- Experience with containerization/orchestration (Docker, Kubernetes).
- Knowledge of machine learning pipelines and integration.
- Exposure to data governance and compliance practices.
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