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Senior Data Engineer

Nasstar
Remote, GBR
Full-time
Senior
Remote
Discovered 2 weeks ago
Azure DatabricksAzure Data FactoryAzure Synapse AnalyticsAzure Data Lake StorageSQLHadoop
Free

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Key skills for this role

Azure DatabricksAzure Data FactoryAzure Synapse Analytics
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Key Responsibilities

  • 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.

Skills, Knowledge and Expertise

  • 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.

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