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Job Description:

We are looking for an experienced Data Engineer with a strong background in Microsoft technologies to join our data team. In this role, you will be responsible for designing, developing, and maintaining data pipelines, managing data storage, and ensuring data accessibility for analytics and business intelligence. The ideal candidate will have extensive experience with Microsoft Azure services, SQL Server, Power BI, and related Microsoft tools to optimize data infrastructure and provide business-critical insights.

Experience: 3 to 6 Years in relevant technologies

Qualification & Skills:

• Bachelor’s or master’s degree in computer / data science.
• Strong expertise in Microsoft Cloud Services (MS Azure), including Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Azure Data Lake Storage, and Azure Blob Storage or similar ETL/ELT tools for building scalable data pipelines and managing data flows.
• Proficiency in working with SQL Server, Azure SQL Database, and other relational or NoSQL databases.
• Expertise in developing and optimizing data models and dashboards using Power BI for reporting and analytics or similar technologies
• Experience in dimensional data modelling (e.g., star schema, snowflake schema) and understanding of OLAP cubes.
• Experience with Python or C# for data transformation and automation.
• Good to have Knowledge of –
o data privacy, security practices, and governance frameworks, especially within the Microsoft ecosystem.
o Familiarity with version control systems like Git and CI/CD practices for data pipelines.

Must have Tools Experience: SSAS, Power BI Model Building, DAX, Mongo DB, Rest API integration

Roles and responsibilities

• • Minimum 2–3 years of experience in designing, implementing, and supporting Data Warehousing and Business Intelligence solutions on Microsoft Technologies.
  • Data Pipeline Development – Design, implement, and maintain robust, scalable ETL/ELT data pipelines using Azure Data Factory and other Microsoft technologies to support data integration from multiple sources including but not restricted to Azure Data Factory, PySpark notebooks, Spark SQL, and Python.
  • Data Integration – Integrate data from diverse sources including SQL Server, Azure SQL Database, on-premises and cloud data sources, and third-party APIs into centralized data warehouses or data lakes.
  • Data Warehouse & Data Lake Management- Build and manage cloud-based data warehousing solutions using Azure Synapse Analytics (formerly Azure SQL Data Warehouse) and Azure Data Lake for structured and unstructured data storage.
  • SQL Server & Azure SQL Management – Develop and optimize complex SQL queries, stored procedures, and data transformations in SQL Server or Azure SQL Database.
  • Data Modeling & Optimization – Design and implement dimensional data models (star schema, snowflake schema) for reporting and analytics in Azure Synapse or SQL Server. Optimize database performance for large datasets and complex queries.
  • Business Intelligence & Reporting – Collaborate with Power BI developers and data analysts to create efficient data models and enable self-service analytics using Power BI. Help optimize data models for reporting performance.
  • Monitoring & Troubleshooting – Proactively monitor the performance of data pipelines, troubleshooting issues in production environments, and resolve data quality or performance bottlenecks.
  • Documentation & Best Practices: Document data architecture, pipeline workflows, and system configurations. Establish coding standards, version control, and deployment best practices for data engineering tasks.

   

  Certifications Good to Have

  • Azure Data Engineer Associate (DP 203)
  • Fabric Analytics Engineer Associate (DP 600)

Full Stack Developer (React & Python)

Experience Level: 3-4 Years
Location: Intellify Office, Baner, Pune
Employment Type: Full-time

Positions- 2

About the Role

We are seeking a talented and motivated Full Stack Developer to join our dynamic team. The ideal candidate will have expertise in building scalable web applications using modern front-end and back-end technologies. You will work on end-to-end application development, delivering high-quality software solutions that meet users’ needs.

Key Responsibilities

• Front-End Development:
  • Build and maintain user-friendly interfaces using React 18 and TypeScript.
  • Create responsive designs and reusable components for seamless user experiences.
  • Optimize front-end performance for scalability and speed.
• Back-End Development:
  • Develop RESTful APIs using FastAPI or Django.
  • Implement robust server-side logic and integrate with various data sources.
  • Ensure secure, scalable, and maintainable code for backend services.

Required Skills and Experience

• Front-End:
  • Strong proficiency in React 18 and TypeScript.
  • Experience with state management libraries (e.g., Redux, Context API).
  • Knowledge of CSS frameworks (e.g., Tailwind, Material-UI, or Bootstrap).
• Back-End:
  • Proficiency in Python and experience with FastAPI or Django.
  • Strong understanding of RESTful API design and implementation.
  • Familiarity with relational database systems
• General:
  • Experience with version control systems like Git.
  • Knowledge of CI/CD pipelines and containerization tools like Docker.
  • Understanding of software testing methodologies and tools.

Qualifications

• Bachelor’s degree in Engineering or Master’s in computer science.
• Proven 3-4 years of experience as a Full Stack Developer or in a similar role.

Role: Technical Program Manager – Microsoft Data Tech Stack

Experience: 15-20 Years

Role Overview

We are looking for an experienced Technical Program Manager with a deep understanding of the Microsoft Data Technology stack. The candidate should have 15-20 years of professional experience, proven leadership skills, and the ability to manage and mentor a team of 50 to 75 people. As a Technical Program Manager, you will ensure the successful execution of data and analytics projects while maintaining high-quality standards and client satisfaction.

Key Responsibilities

1. Project Delivery & Management:
   • Oversee the delivery of multiple projects within the Microsoft Data Tech stack.
   • Define project plans, set delivery milestones, and ensure timelines and budgets are adhered to.
   • Maintain quality control and ensure client satisfaction at all stages.
2. Team Leadership & Mentorship:
   • Lead, mentor, and manage a team of 50 to 75 professionals.
   • Conduct performance evaluations and provide opportunities for skill enhancement.
   • Foster a collaborative and high-performance work environment.
3. Client Engagement:
   • Act as the primary point of contact for key clients.
   • Understand client needs and ensure expectations are met or exceeded.
   • Build and nurture long-term client relationships.
   • Conduct and do bi-weekly and monthly reviews on projects with customer and senior stakeholders.
4. Technical Expertise & Innovation:
   • Stay updated with the latest trends in Microsoft Data Technologies (Azure Synapse, Power BI, SQL Server, Azure Data Factory, etc.).
   • Provide technical guidance and support to the team.
   • Bring new ideas for improving and strengthening delivery and attain productivity improvements.
   • Drive innovation and efficiency through automation and process improvements.
5. Strategic Planning & Stakeholder Management:
   • Align project goals with the organization’s strategic objectives.
   • Collaborate with senior management to define and implement strategies for growth.

Qualifications & Skills

• Experience: 15-20 years in the Data and Analytics domain with expertise in the Microsoft Data Tech stack.
• Leadership: Proven experience in managing teams of 25-30 members.
• Technical Skills:
  • Expertise in tools like Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Power BI, SQL Server, Azure Databricks, etc.
  • Strong understanding of data architecture, pipelines, and governance.
  • Understanding of one of the other data platforms like Snowflake or Google Big query or Amazon Red shift will be a plus and good to have skill.
• Project Management: Proficiency in project management methodologies (Agile, Scrum, or Waterfall).
• Communication: Excellent interpersonal, written, and verbal communication skills.
• Education: Bachelor’s or master’s degree in computer science, Information Technology, or related field.