ETL Developer
Tasks
- Build data ingestion workflows
- Create reusable ETL frameworks
- Design ETL and ELT pipelines for data integration
- Develop data transformation logic
- Ensure data security and governance
- Implement SCD and CDC
- Migrate legacy ETL to Azure or AWS
- Monitor ETL workflows and troubleshoot failures
- Optimize batch and near real time pipelines
- Perform data profiling and data quality analysis
- Support data architecture and deployments
- Tune SQL query performance and partitions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | Amazon Kinesis | Amazon Redshift | Apache Airflow | Apache Kafka | Apache Spark | Autosys | Avro | Azure | Azure Data | Azure Data Factory | Azure DevOps | Azure Event | Azure Event Hub | Azure Synapse | Azure Synapse Analytics | CI/CD | CSV | Change Data Capture | Cloud Data Fusion | Control-M | Data Capture | Data Factory | Data Fusion | Data Governance | Data Lineage | Data Management | Data Quality | Data Vault | Data Vault 2.0 | Data Warehousing | Data profiling | Databricks | Dimensional Modeling | ELT | ETL | Event Hub | Git | Google BigQuery | Google Cloud | Google Cloud Data | Google Cloud Data Fusion | IBM DataStage | Incremental loading | Informatica | Informatica PowerCenter | JSON | Jenkins | Master Data | Master Data Management | Metadata Driven | Metadata-driven ETL | Oracle | Parquet | Pentaho | PostgreSQL | Powershell | PySpark | Python | SCD Type 1 | SCD Type-2 | SQL | SQL Server | SSIS | Shell | Slowly Changing Dimensions | Snowflake | Snowflake Schema | Star Schema | Synapse Analytics | Talend | Teradata | Type 1 | Type 2) | XML
Education
N/A
Roles
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