Lingaro - Azure Data Engineer- Senior Consultant
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Requirements
• A Bachelor's or master's degree in computer science, Information Systems, or a related field is typically required. Additional certifications in cloud are advantageous. • Minimum of 9+ years of experience in data engineering or a related field. • Familiarity with Azure cloud platform viz. Azure Databricks, Data Factory, Data Lake etc., and experience in implementing data solutions in a cloud environment. • Expertise in working with various data tools and technologies, such as ETL frameworks, data pipelines, and data warehousing solutions. • In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration. • 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. • Consulting exposure, with external customer focus mindset is preferred. • Must have skills: Databricks, Python, writing SQL queries, Delta lake, Data Lake concept, DWH, ADF, Azure Synapse, spark architecture, Data Governance, Azure Devops.
Benefits
• Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites. • Flexibility regarding working hours.
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