Key responsibilities: - Work closely with end users and Data Analysts to understand the business and its data requirements. - Carry out ad hoc data analysis and transform data using Databricks, MS Fabric, or Synapse Analytics. - Building meta-data driven data ingestion patterns using Azure Data Factory and Databricks, or MS Fabric, or Synapse - Build and maintain the on-premises SQL Data Warehouse. - Build and maintain business focused data products. - Build and maintain Azure Analysis Services cubes. - Work with Architecture and Engineering teams to deliver projects and ensure that supporting code and infrastructure follows best practices outlined by these teams. - Collaborate with Data Engineering Lead, Data Domain Lead and Architect to drive group engineering context within the team continuously. - Develop and promote exceptional engineering documentation and practices. - Actively engage with the business units engineering community to promote knowledge sharing. - Collaborate with squad leader, Head of, engineers, and architects to ensure cohesive strategies and practices within the team. Core skills and knowledge: - Proven engineering expertise (5+ years)



- Excellent data analysis and exploration using T-SQL - Solid SQL programming (stored procedures, functions) - Extensive experience with SQL Server and SSIS / SSAS - Knowledge and experience of data warehouse modelling methodologies, in particular Star Schema and Snowflake Schema - Experience in Azure -: Data Factory, Databricks, MS Fabric, Pyspark, ADLS Gen2. - Experience in building robust and performant ETL processes. - Experience in using source control, CI/CD pipelines, and Azure, ADF, Python - Build ‘infrastructure-as-code' deployment pipelines. - Familiarity with modern engineering practices and data store design, in particular Lakehouse and Medallion architecture. - Familiarity with the Data as a Product approach - Excellent analytical and problem-solving skills, with the ability to think critically and strategically. - Strong communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels. Pay: ₹80,000.00 - ₹120,000.00 per month Work Location: In person

📌 Data Engineer (Goregaon)
🏢 Silverlume HR Management
📍 Goregaon