Senior Data Warehouse Engineer

4 days ago

Vadodara, India Kiash Solutions LLp Full time

About the job : Exp 7+ yrsLocation - Remote (Initially the person has to come down at our Vadodara office for 5 days - Travel and hotel stay provided) and then its remote.Shift - 3PM to 12 Responsibilities : - Data Warehouse Development : Responsible for managing a single version of the truth and turning data into critical information and knowledge that can be used to make sound business decisions.- Dimensional Modeling : Convert business entities into facts and dimensions to provide a structured and efficient data model that supports accurate and insightful business analysis.- Data Integration : Collaborate with cross-functional teams to integrate data from various source systems such as Oracle NetSuite, Salesforce, Ragic, SQL Server, MySQL, and Excel files.- Data Transformation : Develop and maintain ETL processes using Microsoft SSIS, Python or similar ETL tools to load data into the data warehouse.- Performance Optimization : Optimize queries, indexes, and database structures to improve efficiency.- Requirement Analysis : Work closely with key users and business stakeholders to define requirements.- Documentation : Maintain comprehensive technical documentation for data warehouse processes, data integration, and configurations.- Team Collaboration : Mentor and guide junior team members, fostering a collaborative have : - Bachelors or Masters degree in Computer Science, Information Technology, or a related field.- 7+ years of experience with Microsoft SQL Server.- Expertise in building Data Warehouse using SQL Server.- Hands-on experience Dimensional Modeling using Facts and Dimensions.- Expertise in SSIS and Python for ETL development.- Strong experience in Power BI for reporting and data visualization.- Strong understanding of relational database design, indexing, and performance tuning.- Ability to write complex SQL scripts, stored procedures and views.- Experience with Git and JIRA.- Problem-solving mindset and analytical skills.- Excellent communication and documentation to Have : - Experience with cloud-based SQL databases (e.g., Azure SQL, Azure Synapse).- Experience with cloud-based ETL solutions (Azure Data Factory, Azure Databricks).- Familiarity with CI/CD for database deployments and automation tools.- Knowledge of big data technologies like Snowflake (ref:hirist.tech)

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