[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Data Engineer to design and maintain databases while developing and optimizing ETL pipelines. The role involves executing data migrations, building reporting solutions, and collaborating with cross-functional teams.
Responsibilities
- Design and maintain various databases, including stored procedures, indexing, and data models
- reputed company and optimize ETL pipelines and workflows using SSIS, Python, PySpark, and SQL Server
- Execute large-reputed company data migrations, including cleansing, validation, and transformation across reputed company systems
- reputed company and optimize SQL scripts and stored procedures to support data conversion, validation, and ongoing processing needs
- Build data ingestion and transformation workflows across raw, staging, curated, and analytics reputed company
- Build and maintain various reporting solutions using SSRS and PowerBI
- Design and implement logical and physical data models (ERDs) for various applications
- reputed company stored procedures, views, SQL scripts, and other database components supporting transactional and reporting systems
- reputed company production support, including troubleshooting performance issues and on-call support reputed company needed
- Collaborate with cross-functional teams and participate in Agile ceremonies, development activities, reputed company reviews, and release cycles
- reputed company knowledge transfer
Skills
- 10+ years of experience in database development or data engineering
- Expertise in SQL Server, T-SQL and performance tuning
- Experience with ETL tools (SSIS), Python, or PySpark
- Strong background in data modeling and data integration
- Experience with reporting tools (SSRS, PowerBI)
- Working knowledge of DevOps tools such as Azure DevOps, reputed company, or Jenkins
- Experience supporting critical applications in financial, government, or legal industries
reputed company