
Data Engineer
2 days ago
Responsibilities
Direct Responsibilities
- Design and develop real-time and batch data pipelines using tools like Apache NiFi, Apache Kafka, and Apache Airflow.
- Implement and maintain ETL/ELT processes, ensuring data quality and integrity across various data sources.
- Integrate and manage data flows across diverse systems using NiFi and Kafka topics.
- Monitor and optimize the performance of data pipelines and troubleshoot issues proactively.
- Work with the ELK stack (Elasticsearch, Logstash, Kibana) for logging, monitoring, and real-time analytics.
- Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
- Collaborate with data analysts and business stakeholders to develop meaningful Power BI dashboards and reports.
- Maintain documentation for data workflows, processes, and architecture.
Required Skills:
- Strong experience with Apache NiFi for data flow management.
- Expertise in Kafka (streaming data, Kafka Connect, schema management).
- Proficiency in Apache Airflow for orchestrating workflows.
- Solid understanding of SQL (writing complex queries, tuning, indexing).
- Experience working with the ELK stack Elasticsearch for search and analytics, Logstash for ingestion, Kibana for visualization.
- Experience with Power BI data modeling, DAX, dashboard development.
- Knowledge of data warehousing concepts, data modeling, and data lake architecture.
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