The role involves close collaboration with Data Analysts, Architects, Engineering teams, and Business Stakeholders to deliver high-quality, robust, and performance-driven data solutions.

**Key Responsibilities:

- **
- Work closely with business stakeholders and Data Analysts to understand business and data requirements.
- Perform ad hoc data analysis and transformation using Databricks, MS Fabric, and Azure Synapse Analytics.
- Build metadata-driven data ingestion frameworks using Azure Data Factory, Databricks, MS Fabric, and Synapse.
- Design, develop, and maintain on-premises SQL Data Warehouse solutions.
- Develop and maintain business-focused data products and Azure Analysis Services cubes.
- Build scalable ETL and ELT pipelines for enterprise data processing.
- Collaborate with Architecture and Engineering teams to ensure best practices across code, infrastructure, and deployment.
- Develop Infrastructure-as-Code deployment pipelines and CI/CD automation processes.
- Contribute to engineering standards, documentation, governance, and knowledge-sharing initiatives.
- Support modern data architecture implementations including Lakehouse and Medallion architecture frameworks.

**Required Skills & Technologies:

- **
- Strong experience in Azure Data Factory, Databricks, MS Fabric, Azure Synapse Analytics, and ADLS Gen2.
- Expertise in Python, PySpark, T-SQL, SQL Server, SSIS, SSAS, and SSRS.
- Strong knowledge of ETL/ELT development and enterprise data pipeline architecture.
- Hands-on experience with Data Warehousing concepts including Star Schema and Snowflake Schema.
- Experience building scalable and performant data platforms in Azure environments.
- Knowledge of CI/CD pipelines, source control,



and Infrastructure-as-Code deployments.
- Familiarity with modern data engineering practices including Lakehouse and Medallion architecture.
- Solid analytical, troubleshooting, and problem-solving capabilities.
- Excellent communication and stakeholder management skills.
- 5+ years of experience in Data Engineering and Azure ecosystem technologies.
- Experience working on enterprise-scale cloud and data platform projects.
- Strong understanding of data modelling and performance optimization.
- Ability to work collaboratively in cross-functional engineering environments.

**Required Skills:

- **
- Python
- Azure Data Factory
- Databricks
- SQL Server
- Azure Synapse Analytics
- CI/CD
- Data Warehousing
- Star Schema
- ETL
- T-SQL
- MS Fabric
- PySpark
- SSIS / SSAS / SSRS
- Lakehouse Architecture
- Infrastructure-as-Code

Pay: ₹110,000.00 - ₹120,000.00 per month

Application Question(s):

- Have you worked extensively on SQL Server, SSIS/SSAS, T-SQL, and data warehouse modelling using Star Schema or Snowflake Schema?
- Do you have experience building CI/CD pipelines and Infrastructure-as-Code deployments for data engineering projects in Azure?
- What is your current CTC, expected CTC, and notice period?
- Are you comfortable working onsite from Goregaon East, Mumbai on a 6-month contractual assignment?
- Do you have hands-on experience with Azure Data Factory, Databricks, MS Fabric, PySpark, and ADLS Gen2 for building ETL/data pipelines?

Education :

- Bachelor's (required)

Experience :

- Azure Data Engineer with Databricks, ETL & SQL expertise.: 5 years (required)

Location :

- Mumbai, Maharashtra (required)

Work Location: In person

📌 Data Engineer (Mumbai)
🏢 Talent Aquisition Consultant
📍 Mumbai