Data Engineer

Job Description

Company: Beghou Website: Visit Website Business Type: Consulting Firm Company Type: Service Business Model: Others Funding Stage: Bootstrapped Industry: IT Consulting Salary Range: ? 12-16 Lacs PA Job Description About the Company Beghou Consulting brings 30+ years of expertise in helping life sciences companies optimize commercialization through strategic insight, advanced analytics, and innovative technology . From building go-to-market strategies to deploying enterprise-grade data infrastructures and leveraging AI for deeper customer insights, Beghou empowers global life sciences organizations to maximize performance across their portfolios. We deploy both proprietary and third-party technology platforms to help clients forecast, design territories, manage customer and medical data, and execute analytics-driven planning with precision. Mission To combine analytical excellence with innovative technology to help life sciences companies navigate healthcare complexity and improve patient outcomes. ?? Role Overview This role focuses on developing front-end and back-end infrastructure for Beghou?s in-house enterprise data platform. You will also support diverse client teams with data deployments, backend dataset creation, platform scaling, and analytics-focused engineering work. The role requires strong technical depth, independence, and collaboration with consulting and product teams. ?? Key Responsibilities Ensure reliability, stability, and performance of the enterprise data platform Demonstrate solid understanding of platform components: data warehouse, monitoring, languages, ETL design, schema design Build & enhance data integrations, pipelines, and analytics tools Document code, deployments, best practices, and system improvements Design & build ETL/ELT systems such as APIs, automated transfer pipelines, and code management solutions Serve as a point of contact for data engineering projects and collaborate with consulting, platform, and tech teams Participate in brainstorming, designing, and implementing solutions for complex data challenges Develop best practice frameworks for data management and advanced analytics pipelines Produce high-quality project deliverables, documentation, and presentations Handle additional responsibilities as assigned ?? Technical Requirements Core Requirements 5+ years of experience in data engineering using Python, with strong expertise in pandas or PySpark Extensive, hands-on experience with Databricks, including: Installing packages Cluster configuration Job management User roles & permissions Unity Catalog Databricks APIs & AI tools Troubleshooting config issues Experience with relational databases: PostgreSQL, Oracle, MySQL, Redshift, Snowflake Strong grounding in software development fundamentals (Agile, Git, DevOps, testing, documentation) Preferred Skills Experience configuring Azure AD/SAML/Okta/OAuth Knowledge of AWS or Azure security best practices Familiarity with ETL tools: Azure Data Factory, Informatica, SnapLogic, Boomi Experience with Docker, Kubernetes, AWS ECS At least 6 months of experience in web development using: Flask, Django JavaScript, AJAX HTML/CSS Data engineering certifications (Databricks, Google Cloud, Azure, AWS) Experience in the Life Sciences industry Proficiency in MS Excel, PowerPoint, Word ? Ideal Candidate Strong data engineering fundamentals Comfortable working independently and supporting cross-functional teams Excellent communication and documentation skills Strong problem-solving capabilities Ability to thrive in a consulting-oriented, client-focused environment