Data Engineer | Hadoop, Spark & Cloud Platforms
Tasks
- Automate data ingestion and transformations
- Debug data processing jobs
- Design end to end ETL pipelines
- Develop batch and real-time data workflows
- Ensure data quality, security, and compliance
- Implement data governance and metadata management
- Maintain data lineage documentation
- Manage infrastructure using Infrastructure as Code
- Monitor workflows and troubleshoot incidents
- Optimize ETL pipelines performance
Perks/Benefits
Skills/Tech-stack
AWS Cloud | AWS Cloud Development Kit | AWS CloudFormation | AWS EMR | AWS Glue | AWS Redshift | AWS cloud development | Amazon S3 | Ansible | Apache Atlas | Apache Spark | Azure Synapse | Cassandra | Cloud Development Kit | CloudFormation | Data Catalog | Data Governance | Data Lineage | Data Migration | Data Quality | DynamoDB | GitHub Actions | Google BigQuery | HDFS | Hadoop | Hive | IAM | Informatica | Java | Jenkins | Metadata Management | MySQL | NoSQL | Oracle | Pig | PostgreSQL | PySpark | Python | SQL | Scala | Spark SQL | Spark Streaming | Sqoop | Talend | TeamCity | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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