Tiger Analytics

Compensation

Full Description

Job Title: Lead Data Engineer (Azure) Company Overview: Tiger Analytics is a global leader in AI and analytics, dedicated to solving complex business challenges through innovative data-driven solutions. With a presence in the US, UK, India, and other key markets, we partner with Fortune 100 companies to deliver bespoke technology and analytics services that drive measurable impact. Role Overview: As a Lead Data Engineer specializing in Azure, you will spearhead the design, development, and deployment of scalable data solutions that empower our clients to harness the full potential of their data assets. You will lead a team of engineers, collaborate with cross-functional stakeholders, and ensure the delivery of high-quality, efficient data pipelines and architectures. What You'll Do: - You will lead the end-to-end development of data engineering projects on Azure cloud platforms. - You will design and implement scalable, secure, and robust data pipelines using Azure Data Factory, Databricks, and other Azure services. - You will mentor and guide junior data engineers, fostering a culture of continuous learning and innovation. - You will collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions. - You will optimize data workflows for performance, reliability, and cost-efficiency. - You will establish best practices for data governance, quality, and security within the engineering team. - You will stay current with emerging technologies and industry trends to drive innovation. - You will contribute to architectural decisions and strategic planning for data infrastructure. What You Bring: - 7+ years of experience in data engineering, with at least 3 years focused on Azure cloud technologies. - Proficiency in Azure Data Factory, Azure Databricks, Azure SQL Database, and related Azure services. - Strong programming skills in Python, Scala, or SQL. - Experience with big data technologies such as Spark, Hadoop, or Kafka. - Proven leadership experience managing and mentoring engineering teams. - Excellent problem-solving, communication, and collaboration skills. Bonus Points If You Have: - Experience with machine learning pipelines and MLOps on Azure. - Knowledge of DevOps practices and CI/CD pipelines for data engineering. - Familiarity with data governance frameworks and compliance standards. - Certifications in Azure Data Engineering or related fields. What We Offer: - We offer competitive salary and performance-based bonuses. - We offer comprehensive health, dental, and vision insurance plans. - We offer flexible work arrangements including remote work options. - We offer opportunities for professional development and continuous learning. - We offer a collaborative and inclusive work environment that values innovation. Ready to Apply? To join our dynamic team at Tiger Analytics, please submit your resume and a cover letter detailing your experience with Azure data engineering to our careers portal at www.tigeranalytics.com/careers. We look forward to exploring how you can contribute to our mission of transforming data into actionable insights.