Mid-Level Big Data Developer
Tasks
- Collaborate with stakeholders in Agile
- Design ETL data transformation processes
- Develop Apache Spark data pipelines
- Develop reporting and analytics with Qlik Sense
- Ensure data quality, reliability, and performance
- Integrate data across platform
- Maintain ETL and Data pipelines
- Optimize SQL queries
- Perform DevOps and Continuous Integration practices
- Translate business requirements into data solutions
- Troubleshoot data processing issues
Perks/Benefits
Skills/Tech-stack
ANSI SQL | Agile | Amazon EMR | Apache Spark | Azure Databricks | Cloudera | Continuous integration | Data Pipelines | Data Transformation | DevOps | ETL | Git | GitHub | Hive | Hive SQL | Java | Nexus | Python | Qlik Sense | SQL | Scala | Sonar | Spark SQL
Education
N/A
Roles
Big Data Developer | Data Developer | Data Engineer | Developer | Engineer
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