Sr Data Warehouse Engineer

5 days ago

Vadodara, Gujarat, India Kiash Solutions LLP Full time ₹ 23,00,000 per year

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
  • 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 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

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