Azure Data Engineering Tech Lead

Data Engineering Tech Lead – Azure Databricks

About Lingaro :

Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data.

Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team.

Requirements :

• A bachelor's or master's degree in Computer Science, Information Systems, or a related field is typically required. Additional certifications in data integration tools or platforms are advantageous.
• Minimum of 8+ years of experience in data engineering or a related field.
• Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL, R or Scala.
• Practical experience with Microsoft Azure cloud and Databricks platform.
• Expertise in working with various data tools and technologies, such as ETL frameworks, data pipelines, and data warehousing solutions.
• Proven experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support.
• In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration.
• Hands-on experience using GenAI tools in daily programming is highly beneficial. A willingness to learn, utilize and promote such tools is expected.
• Strong project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines.
• Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues.
• Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and senior management.
• Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies.

Duties :

Skills Required

Scala, Databricks, Microsoft Azure, Sql, Python