Careers

" Creating an ETL Process and implementing all the business rules in the system and Writing Unit test cases, preparing files for business requirement and validating it.

" Utilizing ETL and ELT technologies including Azure Data Factory, Databricks, DBT, SSIS, and Fivetran to efficiently load structured and semi-structured data from multiple systems into data marts and warehouses.

" Designing multidimensional data warehouses (OLAP) using Oracle Hyperion Solutions and SQL Server Analysis Services to facilitate comprehensive data analysis.

" Implementing end-to-end architecture using Microsoft Azure solutions: Azure Data Lake, Azure Databricks, Data Factory, and Synapse Data Warehouse for better organizational data solutions for reporting purposes.

" Developing solutions in Business Intelligence and visualization tools including Tableau, Power BI, SAP Business Objects, SSRS, Cognos, SAP Lumira, and MicroStrategy.

" Migrating legacy and relational data systems to SaaS-based warehouses including Snowflake and Synapse solutions for serverless processing and data analytics capabilities.

" Utilizing Snowflake features including Data sharing, SnowSQL, SnowPipe, Tasks, virtual warehouse sizing, Zero copy clone, Time travel, Procedures, and Functions for building the robust Data marts and warehouses.

" Leading and managing onshore and offshore teams to build end-to-end solutions and automating test patterns and models to accelerate development processes.

" Creating high-level business requirement documents and functional requirement documents, and maintaining them using Jira, TFS, and GitHub versioning tools for code and document management.

" Working in an Agile scrum environment for faster development and future sprint planning.

" Analyzing the defects and resolving/clarifying the defect raised by customers logged using Incident Tracking system (ITS) as tickets.

" Creating stored procedures and views to process the report requirements for Tableau dashboard, Jobs and Alerts for the ETL process and report extracts.

" Creating an ETL Process and implementing all the business rules in the system and Writing Unit test cases, preparing files for business requirement and validating it.

" Design and develop data warehouse solutions using Azure, AWS, and Snowflake technologies tailored for financial and budget planning goals.

" Utilize ETL and ELT technologies including Azure Data Factory, Databricks, DBT, SSIS, and Fivetran to efficiently load structured and semi-structured data from multiple systems into data marts and warehouses.

" Design multidimensional data warehouses (OLAP) using Oracle Hyperion Solutions and SQL Server Analysis Services to facilitate comprehensive data analysis.

" Implement end-to-end architecture using Microsoft Azure solutions: Azure Data Lake, Azure Databricks, Data Factory, and Synapse Data Warehouse for better organizational data solutions for reporting purposes.

" Develop solutions in BI and visualization tools including Tableau, Power BI, SAP Business Objects, SSRS, Cognos, SAP Lumira, and MicroStrategy.

" Migrate legacy and relational data systems to SaaS-based warehouses including Snowflake and Synapse solutions for serverless processing and data analytics capabilities.

" Utilize Snowflake features including Data sharing, SnowSQL, SnowPipe, Tasks, virtual warehouse sizing, Zero copy clone, Time travel, Procedures, and Functions for building the robust Data marts and warehouses.

" Develop custom solutions using C#.NET, Python, SQL, JavaScript, Scala, and DAX to address specific business intelligence requirements.

" Lead and manage onshore and offshore teams to build end-to-end solutions and automate test patterns and models to accelerate development processes.

" Create high-level business requirement documents and functional requirement documents, and maintain them using Jira, TFS, and GitHub versioning tools for code and document management.

" Lead discussions to extract and articulate business requirements and corresponding solutions to drive business development initiatives.

" Work in an Agile scrum environment for faster development and future sprint planning.

" Use Big Data technologies including Hadoop, Storm, Kafka, NoSQL, and Graph databases to stay current with emerging trends and technologies.