Data Engineer

We are seeking a skilled Senior Data Engineer with a minimum of 8 years of experience and extensive knowledge of data principles, patterns, processes, and practices. The ideal candidate will have experience defining evolutionary data solutions and underlying technologies, as well as strong analytical skills with attention to detail and accuracy. You will be responsible for analyzing and organizing raw data, building data systems and pipelines, evaluating business needs and objectives, interpreting trends and patterns, and conducting complex data analysis and reporting on results.

Key Qualifications:

• 8+ years of experience as a Data Engineer
• 4+ years of experience with Azure Data Platform stack: Azure Data Lake, Azure Synapse, Data Factory, and Data bricks
• 4+ years of experience with Python, Spark, and SQL
• Experience with SSAS Tabular models, Power BI, Dataflows, and DAX
• Any experience with streaming technologies like Kafka, IBM MQ, and EventHub
• Strong experience with SQL database design, data modeling
• Basic understanding of network and data security architecture
• Knowledge in a minimum of two of the following technical disciplines: data warehousing, data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database management
• Experience building cost-effective and performance-driven solutions using elastic architectures in Microsoft Azure leveraging Cosmos, Azure Data Factory, Azure Synapse, and Databricks Platforms.
• Experience with SQL and NoSQL applications on Big Data Platforms

Desired Previous Experience/Education:

• Any experience with operational data science, machine learning, or artificial intelligence solutions
• Any experience with data science solutions or platforms
• Data engineering certifications is a plus
• Any experience with a variety of SQL, NoSQL, and Big Data Platforms
• Any experience building solutions using elastic architectures
• Any experience with Infrastructure as Code / Terraform

Key Responsibilities:

• Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms
• Define high-level migration plans to address the gaps between the current and future state
• Present opportunities with cost/benefit analysis to leadership to shape sound architectural decisions
• Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement
• Interpreting data, analyzing results using statistical techniques
• Developing and implementing data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality
• Acquiring data from primary or secondary data sources and maintaining databases
• Promote the reuse of data assets, including the management of the data catalog for reference

Remote Work :

No