Senior Data Engineer (PowerBI & Data Integration)
Tasks
- Automate data workflows for ingestion aggregation and ETL
- Build and maintain batch and real time data pipelines in production
- Collaborate with client stakeholders on solution design
- Create data pipelines with versioning and change management
- Develop ETL ELT processes for multiple data sources
- Ensure data accuracy integrity privacy security and compliance through quality control
- Log and instrument pipelines and services
- Translate requirements into technical specifications
- Write code and implement proposed solutions
Perks/Benefits
- Food tickets
- Life insurance
- Maternity leave
- Medical insurance
- Paid Holidays
- Paid professional certifications
- Paid sick leave
- Paid vacation
- Paternity leave
- Profit sharing
- Remote-first work environment
- Vacation bonus
- Work from home allowance
Skills/Tech-stack
AWS EMR | AWS Glue | AWS IAM | AWS Lambda | AWS QuickSight | Airflow | Amazon Athena | Amazon EC2 | Amazon RDS | Amazon Redshift | Amazon S3 | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | Batch Processing | Data Factory | Data Lake Storage Gen2 | Data Lakes | Data Pipelines | Data Quality | Data Warehousing | ELT | ETL | Google BigQuery | Hadoop | Hive | MapReduce | NoSQL | NumPy | Pandas | Power BI | Python | Real Time | Real-time Processing | Redis | SQL | SQL Database | Snowflake | Synapse Analytics | Tableau | Time processing
Education
N/A
Roles
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