66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.
At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.
Overview of 66degrees
66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work.
Overview of the Role
As an Azure Data Engineer (Contract), you will be responsible for building and maintaining robust, scalable data platforms. You will work with a variety of Azure services to deliver raw data into analytics-ready assets and support a secure, efficient data environment. This role requires strong hands-on engineering skills to implement data pipelines, manage data integrity, and ensure compliance with security and governance standards.
Location: Remote, India
Duration - 40 HPW for 10 Weeks
Responsibilities- Data Pipeline Development: Design, build, and maintain robust and scalable data pipelines to ingest, transform, and load data from various sources into the Azure data platform. This includes creating and managing jobs, dataflows, and triggers in Azure Data Factory, Azure Synapse Pipelines, and Microsoft Fabric.
- Microsoft Fabric Implementation: Leverage the Microsoft Fabric ecosystem (OneLake, Lakehouse, and Warehouse) to unify data storage and analytics. Implement Fabric Data Factory and Data Activator to streamline end-to-end data workflows.
- Power BI Integration: Collaborate with analytics teams to optimize data structures for Power BI reporting. Develop and maintain high-performance semantic models, ensuring seamless integration between the data layer and visualization layer for real-time insights.
- CI/CD Pipeline Management: Architect and maintain automated CI/CD pipelines using Azure DevOps. Ensure seamless deployment of data infrastructure (IaC), SQL scripts, and notebook code across Development, QA, and Production environments.
- Data Modeling and Warehousing: Develop and implement conceptual, logical, and physical data models for data warehouses and data lakes. Work with star schema, snowflake schema, and other data modeling techniques to optimize data for analytics and reporting.
- Data Lake Management: Manage data storage and organization within Azure Data Lake Storage Gen2 and Fabric OneLake. Ensure proper folder structures, security, and data lifecycle management for raw, processed, and curated data zones.
- Data Transformation: Utilize tools like dbt (data build tool) within the Azure ecosystem to transform raw data into analytics-ready datasets. Write complex SQL queries and stored procedures to cleanse, enrich, and aggregate data.
- Azure Service Integration: Integrate and work with a variety of Azure services, including Azure Synapse Analytics, Azure Databricks, Azure Functions, and Cosmos DB, to build a comprehensive data solution.
- Security and Governance: Implement and maintain data security best practices. Apply Role-Based Access Control (RBAC), managed identities, and Azure Key Vault to protect sensitive data. Work with Microsoft Purview for data cataloging and governance.
- Experience: 4+ years of proven experience with key Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure Databricks.
- Ecosystem Mastery: Hands-on experience with Microsoft Fabric and implementing end-to-end solutions within the Fabric environment.
- Visualization & Modeling: Strong experience with Power BI, including DAX, Power Query, and performance tuning of large datasets.
- DevOps Culture: Deep proficiency in CI/CD practices using Azure DevOps or GitHub Actions, including version control (Git) and automated deployment of data artifacts.
- Technical Skills: Strong proficiency in SQL and at least one programming language such as Python or Spark (PySpark).
- Foundational Knowledge: Solid understanding of data warehousing principles, data modeling (dimensional modeling, etc.), and ETL/ELT concepts.
- Soft Skills: Excellent analytical and problem-solving skills with a focus on delivering high-quality, reliable data solutions. Strong verbal and written communication skills to articulate technical concepts to both technical and non-technical stakeholders.
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status, or other legally protected class.
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.
