ETL Developer
Tasks
- Build data ingestion workflows
- Design ETL/ELT pipelines
- Develop reusable ETL frameworks
- Develop transformation logic
- Ensure data security and governance
- Implement Change Data Capture
- Implement Slowly Changing Dimensions
- Migrate legacy ETL to cloud
- Monitor ETL workflows and troubleshoot failures
- Optimize SQL performance
- Optimize batch and near real time pipelines
- Perform data profiling and data quality analysis
- Support production deployments
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | Agile | Amazon Kinesis | Apache Airflow | Apache Kafka | Apache Spark | Autosys | Avro | Azure Data | Azure Data Factory | Azure DevOps | Azure Event | Azure Event Hub | CDC | CI/CD | CSV | Cloud Data Fusion | Control-M | Data Factory | Data Fusion | Data Governance | Data Lakehouse | Data Lineage | Data Management | Data Quality | Data Vault | Data Vault 2 | Data Vault 2 0 | Data Warehousing | Data profiling | Databricks | Dimensional Modeling | Event Hub | Git | Google Cloud | Google Cloud Data | Google Cloud Data Fusion | IBM DataStage | Incremental loading | Informatica PowerCenter | JSON | Jenkins | Master Data | Master Data Management | Metadata Driven | Oracle | Parquet | Pentaho | PostgreSQL | Power BI | Powershell | PySpark | Python | Qlik | SCD Type 1 | SCD Type-2 | SQL Server | SSIS | Scrum | Shell Scripting | Snowflake | Snowflake Schema | Star Schema | Tableau | Talend | Teradata | Type 1 | Type 2) | XML
Education
N/A
Roles
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