• Design, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform.
• Collaborate with the Lead Architect and Cloud Engineer to ensure the seamless integration of data services within the cloud infrastructure.
• Develop data models and schemas to support efficient data storage and retrieval.
• Implement data quality and validation processes to ensure the accuracy and consistency of data.
• Optimize data processes and queries for performance and scalability.
• Collaborate with business stakeholders to understand their data requirements and provide insights and solutions for data-driven decision-making.
• Work closely with data scientists to provide them with the necessary data and tooling for developing revenue-generating insights and models.
• Implement data governance and security controls to ensure data privacy and compliance with regulations.
• Stay updated with the latest data technologies and trends and make recommendations for technology adoption and improvements.
• Design, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform.
• Collaborate with the Lead Architect and Cloud Engineer to ensure the seamless integration of data services within the cloud infrastructure.
• Develop data models and schemas to support efficient data storage and retrieval.
• Implement data quality and validation processes to ensure the accuracy and consistency of data.
• Optimize data processes and queries for performance and scalability.
• Collaborate with business stakeholders to understand their data requirements and provide insights and solutions for data-driven decision-making.
• Work closely with data scientists to provide them with the necessary data and tooling for developing revenue-generating insights and models.
• Implement data governance and security controls to ensure data privacy and compliance with regulations.
• Stay updated with the latest data technologies and trends and make recommendations for technology adoption and improvements.

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• Minimum 5 years experience in industry
• Excellent understanding of Azure data tools, especially Databricks
• Proven experience as a Data Engineer, working with Azure data services.
• Strong understanding of data modeling concepts and relational and non-relational databases.
• Proficiency in SQL and experience with data integration and ETL tools (e.g., Azure Data Factory, Azure Databricks).
• Experience with data warehousing concepts and technologies (e.g., Azure Synapse Analytics, Azure Data Lake Storage).
• Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus.
• Knowledge of data governance and data security best practices.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills to work effectively within a team environment.

• Competitive salary and compensation package.
• 100% remote work with regular team socials.
• Work with a highly experienced, motivated team of experts in Cloud, Big Data, and Machine Learning.
• Fast growing company

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