Hadoop Big Data Developer
Tasks
- Build ETL and ELT workflows
- Build monitoring alerting and logging strategies
- Collaborate on curated datasets and documentation
- Design big data pipelines on Hadoop
- Design data models and storage layouts
- Develop streaming data pipelines
- Document architectures schemas and runbooks
- Evaluate and adopt new big data and cloud technologies
- Implement data governance and quality controls
- Ingest data from relational file streaming and API sources
- Lead performance reviews and architecture audits
- Mentor engineers and improve engineering standards
- Optimize Spark and MapReduce performance
- Orchestrate workflows and manage dependencies
Perks/Benefits
Skills/Tech-stack
AWS EMR | Airflow | Apache Atlas | Apache Flink | Apache Hive | Apache Hudi | Apache Iceberg | Apache Pig | Apache Spark | Apache Sqoop | Azure HDInsight | BigQuery | CI/CD | Collibra | Data Governance | Data Lineage | Data Quality | Databricks | Delta Lake | Distributed Systems | HBase | HDFS | Hadoop | Infrastructure as Code | Java | Kafka | Kubernetes | MapReduce | NoSQL | ORC | Oozie | Parquet | Python | Python Scripting | SQL | Scala | Shell Scripting | Snowflake | Spark Streaming | Trino | “as-code”
Education
N/A
Roles
Big Data Engineer | Data Engineer | Developer | Engineer | Hadoop Developer
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