The Blue Owls Solutions

Blue Owls Solutions is looking for a mid-level Azure Data Engineer with approximately 4 years of hands-on experience to join our growing data team. In this role, you will design, build, and maintain scalable data pipelines and architectures that power business-critical analytics and reporting. You'll work closely with cross-functional teams to transform raw data into reliable, high-quality datasets that drive decision-making across the organization.

Required Skills

• 4+ years of professional experience as a Data Engineer or in a similar data-focused role
• Strong proficiency in SQL for data manipulation, querying, and performance optimization
• Hands-on experience with PySpark for large-scale data processing and transformation
• Solid working knowledge of the Microsoft Azure ecosystem (Azure Data Factory, Azure Data Lake, Azure Synapse, etc.)
• Experience with Microsoft Fabric for end-to-end data analytics workflows
• Ability to design and implement robust data architectures including data warehouses, lakehouses, and ETL/ELT frameworks
• Strong coding and scripting skills with Python
• Proven problem-solving ability with a knack for debugging complex data issues and optimizing pipeline performance
• Understanding of data modeling concepts, dimensional modeling, and data governance best practices

Preferred Skills & Certifications

• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
• Microsoft Certified: Fabric Data Engineer Associate (DP-700)
• Experience with CI/CD practices for data pipelines
• Familiarity with version control systems such as Git
• Exposure to real-time streaming data solutions
• Experience working in Agile or Scrum environments
• Strong communication skills with the ability to translate technical concepts for non-technical stakeholders

What We Offer

• Competitive salary and performance-based bonuses
• Flexible hybrid options
• Opportunities for professional development, training, and certification sponsorship
• A collaborative, innovation-driven team culture
• Paid time off and company holidays

Role Summary

We’re seeking a seasoned Azure Data Engineer / Consultant to lead design, build, and operationalize cloud-native data solutions. You’ll partner with external clients—from discovery through Go-Live—to ingest, model, transform, and serve high-volume data using Synapse, Fabric, PySpark, and SQL. You’ll also establish best practices around CI/CD, security, and data quality within a medallion architecture.

Required Skills (at least 4+ years of relevant experience - this is a senior-level role)

• Ability to talk to the customer
• Manage the delivery of an End-To-End Enterprise project
• Fabric (or Synapse/ADF/Databricks) Data Engineering background
• Data Warehousing experience
• Basic understanding of Agentic AI

Preferred Skills & Certifications:

• DP-600, DP-700 or equivalent certification.
• Experience with Azure Purview, Data Catalogs, or metadata management tools.
• Familiarity with orchestration frameworks (ADF, Synapse Pipelines), Spark optimization (broadcast joins, partition pruning), and data-quality frameworks (Great Expectations, custom).
• Prior consulting or client-facing engagements in enterprise environments.
• Knowledge of BI tools (Power BI).

What We Offer:

• Opportunity to own and shape cutting-edge data solutions for diverse industries.
• Collaborative, outcome-driven culture with career growth and skill-building opportunities.
• Competitive compensation and benefits package.

Tech Stack: Power BI, DAX, SQL, Microsoft Fabric

The Role

You are the bridge between raw data and business decisions.You will be responsible for taking processed data and transforming it into high-performance, scalable semantic models. Your goal is to ensure that the data is structured so perfectly that building a report becomes the easiest part of the job.

Key Responsibilities

• Semantic Architecture: Design and build Star Schemas that serve as the single source of truth.
• Gold Layer Ownership: Transform Silver-layer tables into business-ready dimensions and facts.
• Advanced DAX: Write clean, optimized DAX for complex business logic (not just basic sums).
• Visual Storytelling: Build intuitive Power BI reports that focus on clarity and actionable insights.
• Performance Tuning: Optimize models for fast load times, query folding, and efficient refreshes.
• Stakeholder Sync: Work with clients to define KPIs and ensure the model actually answers their questions.

What We’re Looking For

• Modeling DNA: You think in Star Schemas and understand why a flat table is a bad idea for Power BI.
• DAX Proficiency: Deep understanding of Filter vs. Row context and time-intelligence functions.
• SQL Fluency: You can write complex queries to validate your models against the source data.
• Visual Logic: You have a sharp eye for UI/UX—no cluttered dashboards or "chart junk."
• Fabric Familiarity: Experience with (or a strong desire to learn) the Microsoft Fabric ecosystem.

Why Work With Us?

• Microsoft Partner Edge: Hands-on with the latest Fabric and Power BI features before they go mainstream.
• Flat Hierarchy
• Technical Autonomy: You own the Gold layer architecture; you set the modeling standards.
• High-Stakes Projects: Solve real data problems for enterprise clients in Healthcare and Government.
• Career Growth: Structured learning paths to master the wider Azure Data & AI stack.
• Competitive Pay
• Flexible Hours: We value outcomes over desk-time; flexible shifts to help you beat Pune traffic.

The Role

We are looking for a Azure Data Architect to join our team in Pune. You will be responsible for the end-to-end lifecycle of data solutions, from initial client requirement gathering and solution architecture design to leading the data engineering team through implementation. You will be the technical anchor for the project, ensuring that our data estates are scalable, governed, and high-performing.

Key Responsibilities

• Architecture & Design: Design robust data architectures using Microsoft Fabric and Azure Synapse, focusing on Medallion architecture and metadata-driven frameworks.
• End-to-End Delivery: Translate complex client business requirements into technical roadmaps and lead the team to deliver them on time.
• Data Governance: Implement and manage enterprise-grade governance, data discovery, and lineage using Microsoft Purview.
• Team Leadership: Act as the technical lead for the team, performing code reviews, mentoring junior engineers, and ensuring best practices in PySpark and SQL.
• Client Management: Interface directly with stakeholders to define project scope and provide technical consultancy.

What We’re Looking For

• 6+ Years in Data Engineering with at least 3+ years leading technical teams or designing architectures.
• Expertise in Microsoft Fabric/Synapse: Deep experience with Lakehouses, Warehouses, and Spark-based processing.
• Governance Specialist: Proven experience implementing Microsoft Purview for data cataloging, sensitivity labeling, and lineage.
• Technical Breadth: Strong proficiency in PySpark, SQL, and Data Factory. Familiarity with Infrastructure as Code (Bicep/Terraform) is a major plus.

Why Work with Us?

• Competitive Pay
• Flexible Hours
• Work on Microsoft’s latest (Fabric, Purview, Foundry) as a Designated Solutions Partner.
• High-Stakes Impact: Solve complex, client-facing problems for enterprise leaders
• Structured learning paths to help you master AI automation and Agentic AI.

The Role

Working in our Integrations Engineering team, you’ll play a key role in building products for healthcare . You’ll design and implement integrations with EMRs/EHRs and healthcare APIs, ensuring our technology fits seamlessly into clinical workflows.

What You’ll Do

• Build and maintain integrations between our products and healthcare systems, following interoperability standards like HL7, FHIR, SMART on FHIR.
• Extend Azure Health Data Services (AHDS) enabling conformance with Australian FHIR standards.
• Work with APIs and distributed systems that power product core features, ensuring performance, security, and scalability.
• Improve the reliability and accuracy of data pipelines.
• Champion best practices for building robust, maintainable systems in healthcare contexts.

What We’re Looking For

• 5+ years of professional software engineering experience.
• Prior experience integrating with healthcare systems (Cliniko, Halaxy, MediRecords, Epic, Cerner, athenahealth, Meditech, etc.).
• Familiarity with healthcare interoperability standards (FHIR, HL7, SMART on FHIR, etc.).
• Proficiency in a prominent programming language such as Python, C++, Rust, C#, Java, Javascript, Typescript etc., with experience building APIs and backend services (preferably with FastAPI).
• Experience working with datastores such as MongoDB and Redis
• Experience with integration design, including RESTful APIs, authentication/authorization (OAuth2, OpenID Connect), and event-driven systems.

Bonus points

• Previous experience in digital health startups or companies building EHR/EMR solutions.
• Knowledge of medical terminology or curiosity about speech-to-text systems.
• Full-stack experience with backend services (Python, FastAPI) and frontend frameworks (React.js) is a plus.
• Passion for improving healthcare and clinician experience.