Data engineer Senior DataBricks/SQL

Luxoft; Dallas (TX); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A global technology consulting firm based in Dallas is seeking a Mid-Senior level software developer to design and implement Azure-based analytics solutions. This full-time opportunity involves working closely with data application teams, providing technical leadership, and implementing cloud technologies. Ideal candidates will have 3 to 5+ years of experience in software development, data analytics using SQL, and expertise in Microsoft Azure. Benefits include medical and vision insurance, and a 401(k).

Qualifications

• 3 to 5+ years of experience in software development (Agile, DevOps).
• 3 to 5+ years of data analytics experience using SQL.
• 3 to 5 years of cloud development and data lake experience, primarily in Microsoft Azure.

Responsibilities

• Design, implement and support analytics solutions using Azure products.
• Perform multiple aspects involved in the development lifecycle.
• Implement batch and streaming data pipelines using cloud technologies.

Skills

Software development

Data analytics

Cloud development

Collaboration in DevOps

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Lake Storage

Azure Data Factory

SQL

Power BI

Job description

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 DevOps 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.

Qualifications

• 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, DevOps), 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 (EventHub, Data Factory, Databricks, Blob Storage, Power BI, Azure Functions, etc.).

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Business Development

Benefits

• Medical insurance
• Vision insurance
• 401(k)