Data Engineer – Snowflake | Azure | Power BI
**Experience:** 5–6 Years
**Work Location:** Hybrid (1 Day per Week at Client Location)
**Work Timings:** 11:00 AM – 9:00 PM
Job Overview
We are seeking a highly skilled Data Engineer with strong expertise in Data Engineering, Data Warehousing, Snowflake, Azure Data Services, and Power BI. The ideal candidate will be responsible for designing, developing, and maintaining scalable data platforms, ETL/ELT pipelines, enterprise data warehouses, and business intelligence solutions that support reporting and analytics initiatives across the organization.
This role requires hands-on experience with Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure Synapse Analytics, Python, PySpark, SQL, and Power BI, along with a strong understanding of modern cloud-based data architectures and data engineering best practices.
Key Responsibilities
* Design, develop, and maintain scalable data pipelines and data integration solutions.
* Build and optimize ETL/ELT processes using Azure Data Factory, Azure Databricks, and Snowflake.
* Develop and manage enterprise data warehouses and dimensional data models.
* Design efficient data models using Star Schema and Dimensional Modeling techniques.
* Create and maintain interactive dashboards, reports, and KPIs using Power BI.
* Develop scalable data transformation and processing solutions using Python, PySpark, and SQL.
* Build and maintain data lakes using Azure Data Lake Storage (ADLS).
* Implement data solutions using Azure Synapse Analytics and Azure SQL Database.
* Develop Azure Function Apps for data processing, automation, and integration requirements.
* Work with Kafka for real-time data ingestion and event-driven data processing.
* Manage structured and semi-structured data using MongoDB and other NoSQL technologies.
* Collaborate with business stakeholders, analysts, and engineering teams to translate business requirements into technical solutions.
* Implement CI/CD pipelines using GitHub Actions for automated deployments and platform management.
* Ensure data quality, governance, security, reliability, and performance across enterprise data platforms.
* Troubleshoot and optimize data workflows, pipelines, and reporting solutions.
## Required Skills & Qualifications
### Data Engineering
* 5–6 years of experience in Data Engineering and Data Platform development.
* Strong expertise in Data Warehousing concepts and best practices.
* Experience with Data Modeling and Dimensional Modeling techniques.
* Strong understanding of scalable data architecture and design patterns.
### Cloud & Data Platforms
Hands-on experience with:
* Snowflake
* Azure Data Factory (ADF)
* Azure Databricks
* Azure Data Lake Storage (ADLS)
* Azure SQL Database
* Azure Synapse Analytics
### Programming & Data Processing
* Strong proficiency in Python, PySpark, and SQL.
* Experience building scalable ETL/ELT and data transformation pipelines.
* Experience developing Azure Function Apps.
### Business Intelligence
* Strong expertise in Power BI.
* Experience creating dashboards, reports, KPIs, and visualizations.
* Understanding of report optimization, performance tuning, and data storytelling.
### Data Integration & Streaming
* Experience with Kafka and event-driven architectures.
* Experience integrating data from multiple enterprise systems.
### Databases
* Strong experience with SQL databases.
* Experience with MongoDB and NoSQL technologies.
### DevOps & Automation
* Experience implementing CI/CD pipelines using GitHub Actions.
* Understanding of deployment automation and DevOps practices for data platforms.
Preferred Qualifications
* Experience with large-scale cloud migration projects.
* Knowledge of Data Governance and Data Quality frameworks.
* Experience working in Agile/Scrum environments.
* Familiarity with Microsoft Power Platform and Power Apps.
* Exposure to real-time analytics and streaming architectures.
Professional Skills
* Strong analytical and problem-solving abilities.
* Excellent communication and stakeholder management skills.
* Ability to work collaboratively within cross-functional teams.
* Strong attention to detail and commitment to delivering high-quality solutions.
Education
Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
Pay: ₹70,000.00 - ₹90,000.00 per month
Experience:
- Data Engineer – Snowflake | Azure | Power BI: 5 years (Required)
Work Location: Hybrid remote in Pune, Maharashtra
