Data Engineer
9 hours ago
Data Engineer – NiFi / Cloudera / Iceberg / Snowflake / Databricks
Overview
We are seeking a Data Engineer with strong Apache NiFi expertise to design and implement pipelines that move and transform data from Cloudera (HDFS/Hive/Impala) into Apache Iceberg tables, with downstream integration into Snowflake and Databricks. The ideal candidate will have hands-on experience with modern data lakehouse architectures and will play a critical role in enabling scalable, governed, and high-performance data platforms.
Key Responsibilities:
- Data Ingestion & Pipeline Development
- Design, configure, and maintain NiFi data flows to extract, transform, and load data from Cloudera into Iceberg tables.
- Implement streaming and batch ingestion pipelines with NiFi processors and custom scripting where needed.
- Optimize NiFi workflows for scalability, reliability, and monitoring.
- Data Lakehouse Enablement
- Build and manage Apache Iceberg-based datasets for structured, semi-structured, and unstructured data.
- Ensure schema evolution, partitioning, and metadata management in Iceberg.
- Develop integration flows from Iceberg to Snowflake and Databricks for analytics, ML, and reporting use cases.
- Integration & Orchestration
- Work with Snowflake to ingest curated data from Iceberg for enterprise reporting and commercial insights.
- Collaborate with Databricks teams to enable advanced analytics and machine learning use cases.
- Integrate NiFi pipelines with orchestration tools (Airflow, Oozie, or AWS/Azure/GCP schedulers).
- Performance, Security & Governance
- Tune NiFi flows and Snowflake/Databricks ingestion for performance and cost optimization.
- Implement role-based security and ensure compliance (HIPAA, GDPR, SOX if applicable).
- Work with governance teams to enable lineage, metadata tracking, and auditability.
Qualifications:
- Bachelor's degree in Computer Science, Information Systems, or related field.
- 5+ years of data engineering experience, with at least 2+ years working with Apache NiFi.
- Strong experience with Cloudera ecosystem (HDFS, Hive, Impala, Spark).
- Hands-on expertise with Apache Iceberg (schema evolution, time travel, partitioning, compaction).
- Working knowledge of Snowflake and Databricks integration patterns.
- Proficiency in SQL and one programming language (Python, Java, or Scala).
- Understanding of data lakehouse architectures and ETL/ELT best practices.
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