Senior Big Data & PySpark Engineer
PLOT NO-1, S.NO. 77, India
INR 2040K-2800K (estimate) Senior-level Full Time
Tasks
- Collaborate with business stakeholders
- Contribute to data architecture
- Contribute to data governance
- Contribute to data modeling
- Design data pipelines
- Develop data pipelines
- Develop technical documentation
- Ensure data quality frameworks
- Implement data quality checks
- Implement data transformations
- Maintain data pipelines
- Mentor junior developers
- Optimize PySpark jobs
- Optimize Spark jobs
- Perform code reviews
- Translate requirements into technical specifications
- Troubleshoot data pipeline issues
- Use Flink for streaming processing
- Use Kafka for streaming data
- Use NiFi for data flow
Perks/Benefits
Skills/Tech-stack
AWS | AWS Glue | Amazon EMR | Apache Airflow | Apache Flink | Apache NiFi | Apache Spark | Azure | Azure Synapse | Data Governance | Data Modeling | Data Quality | Data Security | Data Warehousing | Databricks | Dataframe API | Docker | Git | Google Cloud | Google Dataproc | HDFS | Kafka | Kubernetes | NumPy | Object-Oriented | Object-oriented programming | Pandas | PySpark | Python | SQL | Spark SQL
Education
Roles
Big Data Engineer | Data Engineer | Engineer | Pyspark Engineer
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