Senior Data Engineer

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🕒 May 12

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Nasstar

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏢 Enterprise

📡 Telecommunications

Cloud Computing • Enterprise • Telecommunications

Nasstar is a cloud service specialist that designs, implements, and manages multi-cloud solutions, innovative communication tools, and high-performance networking. With a strong global presence, Nasstar supports customers across various industries by offering a comprehensive suite of cloud services. The company has undergone several strategic acquisitions and rebranding efforts to enhance its capabilities, such as the acquisitions of Modality, Outsourcery, and others. Nasstar is committed to evolving with the rapidly changing tech industry and values enthusiastic individuals who are driven and passionate about making a difference.

📋 Description

• - 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.

🎯 Requirements

• - 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. • - Experience with Agile methodologies is a plus. • - Comfortable problem solving alone as well as part of a team. • - Confident reaching out to stakeholders and colleagues in order to solve problems and understand issues. • - Happy in a remote working environment. • - Keen interest in new technologies and learning about them.

🏖️ Benefits

• - Competitive salary and compensation package. • - Exclusive access to AWS & Databricks certifications, training, and partner tools. • - Remote work with regular team socials. • - Work with a highly experienced, motivated team of experts in Cloud, Big Data and Machine Learning.