Senior Data Analytics Engineer
Tasks
- Apply data analytics to find trends and anomalies
- Build Power BI dashboards using DAX and M Code
- Collaborate with stakeholders to support analytics decisions
- Communicate insights to technical and non-technical audiences
- Configure and optimize SQL Server for analytical workloads
- Design partitioned tables indexed views and columnstore indexes
- Design scalable ETL/ELT pipelines
- Design star and snowflake schemas fact and dimension models SCDs
- Implement incremental loads CDC and data staging
- Improve data quality consistency and usability
- Ingest, transform, and load data from multiple sources
- Manage SQL Server recovery models backup restore and disaster recovery
- Optimize pipeline architectures for analytical workloads
- Support hybrid cloud and on prem data platforms
Perks/Benefits
Skills/Tech-stack
AWS | AWS Glue | Amazon Redshift | Amazon SageMaker | Apache Spark | CDC | CSV | DAX | Data Lake | Data Modeling | Data Warehouse | Dimensional Modeling | ELT | ETL | Hadoop | JSON | M-code | MLOps | Microsoft Office | NoSQL | OneDrive | Parquet | Power Automate | Power BI | Python | RDBMS | SAS | SQL | SQL Server | SharePoint | Slowly Changing Dimensions | Snowflake Schema | Star Schema
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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