Senior Data Warehouse Engineer

Exp 7+ yrs

Location - Remote (Initially the person has to come down at our Vadodara office for 5 days - Travel and hotel stay provided) and then its remote.

CTC upto 23 LPA

Shift - 3PM to 12 (midnight)

Key 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 environment.

• Must have
• Bachelor’s or Master’s 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 abilities.

· Nice to Have

o Experience with cloud-based SQL databases (e.g., Azure SQL, Azure Synapse).

o Experience with cloud-based ETL solutions (Azure Data Factory, Azure Databricks).

o Familiarity with CI/CD for database deployments and automation tools.

o Knowledge of big data technologies like Snowflake