Data engineer Senior DataBricks​/SQL

Responsibilities

• Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions.
• Implement data migration and data engineering solutions using Azure products and services (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools.
• Perform multiple aspects involved in the development lifecycle: design, cloud engineering (infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CI/CD pipelines, performance tuning, deployments, consumption, BI, alerting, and production support.
• Provide technical leadership and collaborate within a team environment as well as work independently.
• Be a part of a Dev Ops team that completely owns and supports the product.
• Implement batch and streaming data pipelines using cloud technologies.
• Understand and follow the development of coding standards, best practices and privacy and security guidelines.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
• 3 to 5+ years of experience in software development (Agile, Dev Ops), designing, developing, and implementing large-scale applications or data engineering solutions.
• 3 to 5+ years of data analytics experience using SQL and working with data platforms like Teradata, Cassandra, MongoDB, Oracle, SQL Server, Snowflake, ADLS, and Azure Data Explorer.
• 3 to 5 years of cloud development and data lake experience, primarily in Microsoft Azure (Event Hub, Data Factory, Databricks, Blob Storage, Power BI, Azure Functions, etc.).

Mid-Senior level

Full-time

Business Development

• Medical insurance
• Vision insurance
• 401(k)