Data Engineer
2 weeks ago
Looking for Data Engineer who will be responsible for designing, building, and maintaining scalable data pipelines and architectures that enable efficient data collection, storage, processing, and analysis. The ideal candidate will have a strong background in data modeling, ETL development, and cloud-based data solutions.
Skills -
- SQL / Transact-SQL -
Writing complex queries, stored procedures, and functions. - SQL Server -
Database design, performance tuning, and query optimization. - SSIS (SQL Server Integration Services) -
ETL development, data flow design, and deployment. - SSRS (SQL Server Reporting Services) -
Report design, parameterization, and automation. - Performance Tuning & Query Optimization -
Identifying and resolving performance bottlenecks. - Data Warehouse / Data Lake / Data Vault Development -
Building and managing large-scale data environments using SSIS and SQL. - AWS Data Services -
Knowledge of AWS Glue, Redshift, S3, Athena, or related data tools. - GitLab -
Version control, CI/CD automation, and deployment pipelines. - Python (Pandas, NumPy, PySpark, SQLAlchemy) -
Data manipulation, integration, and automation scripting. - MDS (Master Data Services) -
Data governance, hierarchy management, and data stewardship. - ETL / ELT Pipeline Development -
Designing and implementing end-to-end data pipelines. - Data Integration Strategies -
Applying best practices in data ingestion, transformation, and loading. - Database Administration (DBA) -
Index management, performance tuning, and backup/recovery. - Snowflake -
Data warehouse design, performance optimization, and integration with cloud data tools.
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