Data Warehouse Analyst/Data Engineer

2 weeks ago

India Saradysol Tech Ventures Private Limited Full time ₹ 9,00,000 - ₹ 12,00,000 per year

About the jobJob descriptionJob Title: Data Engineer (Power BI & MS BI Stack - SSRS, SSAS, SSMS, SSIS)Experience Level: 5 Years (Immediate Joiners are Preferred)Location: BengaluruEmployment Type: Full-Time -RemoteJob Description:We are seeking a highly skilled and experienced Data Warehouse Analyst / Data Engineer to support the end-to-end lifecycle of enterprise data platforms, including data warehouses, data lakes, and data marts, ensuring high performance, data integrity, and security. The ideal candidate will have deep expertise in data modeling, ETL processes, metadata management, and business intelligence systems, along with the ability to deliver robust data presentation layers and actionable insights. Experience with Databricks is a strong plus.

Key Responsibilities:Design, develop, and maintain enterprise-wide data warehouse platforms, ensuring optimal performance, security, and scalability. Develop and optimize ETL processes using MS SQL Server Integration Services (SSIS), T-SQL, and other tools. Build and maintain data models, metadata catalogs, and ER diagrams to support analytical needs.

Proactively monitor system performance and data integrity; conduct preventive and corrective maintenance. Work with cross-functional teams to interpret data and create meaningful business intelligence reports using tools such as Power BI.Leverage Python, PySpark, and JSON for advanced data processing, transformation, and integration. Create and manage data repositories and presentation layers aggregating information across diverse source systems.

Contribute to the development and optimization of cloud-based data platforms. Implement and promote best practices in data architecture, data security, and governance. Work with Databricks to support scalable data processing pipelines and advanced analytics workflows (preferred experience).

Qualifications:Bachelor's degree in Computer Science, Information Technology, or a related field.5 years of experience in data warehouse development, ETL, and BI systems. Strong background in data modeling, data architecture, and metadata management. Proficient in SQL, ETL tools, and database performance tuning.

Hands-on experience with the MS BI Stack: SSIS, SSRS, SSAS, and SSMS.Proficiency in analytics tools such as Power BI.Experience with cloud data platforms (Azure, AWS, or GCP) is preferred. Experience with Databricks is a strong plus. Proficiency in Python, PySpark, and working with structured/unstructured data.

Skills and Competencies:Excellent problem-solving, debugging, and optimization skills. Strong collaboration and communication skills to engage with business and technical teams. Ability to synthesize complex data into meaningful insights and visualizations.

Familiarity with data governance, compliance, and security standards. Why Join Us?

Opportunity to work with cutting-edge technology and tools. A collaborative and inclusive work culture. Opportunities for professional growth and certification sponsorship.

Flexible working hours and hybrid work options. How to Apply:If you're ready to take the next step in your career, send your updated resume to (*******) with the subject line: "Data Analytics Engineer/Data Analyst Role". Alternatively, use LinkedIn's Easy Apply feature to connect with us effortlessly

Be part of a team that leverages technology to achieve excellence in quality assurance. Let's shape the future together

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