Senior Data Engineer (PowerBI & Data Integration)
Tasks
- Automate data workflows ingestion aggregation and ETL
- Collaborate on solution design and requirements translation
- Create data pipelines versioning and change management
- Design build and maintain batch and real time data pipelines
- Develop ETL and ELT processes
- Ensure data quality accuracy integrity privacy security and compliance
- Log and instrument pipelines and services
- Write code and implement solutions
Perks/Benefits
- Flexible work schedule
- Life insurance
- Maternity leave
- Medical insurance
- Paid Holidays
- Paid professional certifications
- Paid vacation
- Paternity leave
- Remote-first work environment
- Sick leave
- Training and development
Skills/Tech-stack
AWS Athena | AWS EMR | AWS Glue | AWS IAM | AWS Lambda | AWS QuickSight | AWS S3 | Airflow | Amazon EC2 | Amazon RDS | 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 | BigQuery | Data Factory | Data Lake Storage Gen2 | Data Pipelines | ELT | ETL | Hadoop | Hive | MapReduce | NoSQL | NumPy | Pandas | PowerBI | Python | Redis | Redshift | SQL | SQL Database | Snowflake | Synapse Analytics | Tableau
Education
N/A
Roles
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