Senior Analytics Engineers / Mid Analytics Engineers
Tasks
- Build and optimize ELT pipelines and quality tests
- Collaborate with data engineering and data science teams for integrated delivery
- Document business rules lineage and transformation logic
- Model and transform data into consistent analytical structures
- Monitor datasets quality SLAs and performance
- Support DS BI and ML with reliable data and semantic layers
Perks/Benefits
Skills/Tech-stack
ADLS | Amazon Redshift | Apache Airflow | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | BI modeling | BigQuery | CI/CD | Clustering | DAX | Data Factory | Data Governance | Data Lineage | Data Observability | Data Quality | Data version control | Databricks Workflows | Delta Lake | Dimensional Modeling | Medallion Architecture | Microsoft Fabric | Microsoft Purview | Partitioning | Power BI | PySpark | Python | Query Tuning | SQL | Schema evolution | Semantic layer | Snowflake | Spark SQL | Star Schema | Synapse Analytics | Unity Catalog | Version control
Education
N/A
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