Data Engineer - BI Remote

December 22, 2024

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Allata

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Allata is a global consulting firm that helps businesses achieve digital excellence by crafting unique customer experiences, identifying revenue-generating opportunities, and improving operational efficiencies. They offer a wide range of services including strategic services, technology and cloud solutions, data and insights, and artificial intelligence development. Allata's approach is experience-led, strategy-aligned, tech-enabled, and data-driven. They work across multiple industries such as automotive, financial services, health and life sciences, high tech, logistics and transportation, among others, to drive modernization, personalization, innovation, and efficiency. With a team of former IT leaders and consulting professionals, Allata guides clients through complex digital landscapes to deliver value-based outcomes and help organizations integrate digital strategies seamlessly into their overall business strategies.

Strategic Advisory Services • Transformational Program Management • Emerging Technology • Custom Software • Cloud

201 - 500 employees

🤝 B2B

📋 Description

• Allata is a fast-growing technology strategy and data development consulting firm delivering scalable solutions to our enterprise clients. • We are seeking a skilled Data Engineer to contribute to transformative enterprise data platform projects. • This role requires full life cycle design, build, deployment and optimization data products for multiple large enterprise industry vertical-specific implementations by processing datasets through a defined series of logically conformed layers, models, and views.

🎯 Requirements

• Current knowledge of an using modern data tools like (Databricks, FiveTran, Data Fabric and others) • Core experience with data architecture, data integrations, data warehousing, and ETL/ELT processes • Applied experience with developing and deploying custom whl and or in session notebook scripts for custom execution across parallel executor and worker nodes • Applied experience in SQL, Stored Procedures, and Pysparkbased on area of data platform specialization • Strong knowledge of cloud and hybrid relational database systems, such as MS SQL Server, PostgresSQL, Oracle, Azure SQL, AWS RDS, Auroraor a comparable engine • Strong experience with batch and streaming data processing techniques and file compactization strategies.