Design and maintain various databases including stored procedures indexing and data models.
Develop and optimize ETL pipelines and workflows using SSIS Python PySpark and SQL Server.
Execute large-scale data migrations including cleansing validation and transformation across enterprise
systems.
Develop 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 layers.
Build and maintain various reporting solutions using SSRS and PowerBI.
Design and implement logical and physical data models (ERDs) for various applications.
Develop stored procedures views SQL scripts and other database components supporting transactional and reporting systems.
Provide production support including troubleshooting performance issues and on-call support when needed.
Collaborate with cross-functional teams and participate in Agile ceremonies development activities code reviews and release cycles.
Provide knowledge transfer.
Requirements
DESIRED 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 GitHub or Jenkins.
Experience supporting critical applications in financial government or legal industries.
Required Skills:
DESIRED 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 GitHub or Jenkins. Experience supporting critical applications in financial government or legal industries.
PLEASE NOTE: IT IS A 100 % REMOTE POSITIONTASKS:Design and maintain various databases including stored procedures indexing and data models. Develop and optimize ETL pipelines and workflows using SSIS Python PySpark and SQL Server. Execute large-scale data migrations including cleansing validation an...
PLEASE NOTE:
IT IS A 100 % REMOTE POSITION
TASKS:
Design and maintain various databases including stored procedures indexing and data models.
Develop and optimize ETL pipelines and workflows using SSIS Python PySpark and SQL Server.
Execute large-scale data migrations including cleansing validation and transformation across enterprise
systems.
Develop 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 layers.
Build and maintain various reporting solutions using SSRS and PowerBI.
Design and implement logical and physical data models (ERDs) for various applications.
Develop stored procedures views SQL scripts and other database components supporting transactional and reporting systems.
Provide production support including troubleshooting performance issues and on-call support when needed.
Collaborate with cross-functional teams and participate in Agile ceremonies development activities code reviews and release cycles.
Provide knowledge transfer.
Requirements
DESIRED 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 GitHub or Jenkins.
Experience supporting critical applications in financial government or legal industries.
Required Skills:
DESIRED 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 GitHub or Jenkins. Experience supporting critical applications in financial government or legal industries.