Data Engineer (Databricks+ ADF)

Allata

Dallas, TX

Full Time

Mid Level

7 days ago

Job Description

About the Role

Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices. Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance to deliver measurable results and build lasting partnerships.

Key Responsibilities

Collaborate in defining the overall architecture of the solution, including knowledge of modern Enterprise Data Warehouse and Data Lakehouse architectures that implement Medallion or Lamda architectures.
Design, develop, test, and deploy processing modules to implement data-driven rules using SQL, Stored Procedures, and Pyspark.
Own data product engineering deliverables relative to a CI-CD pipeline and standard devops practices and principles.
Build and optimize data pipelines on platforms like Databricks, SQL Server, or Azure Data Fabric.

Requirements

Current knowledge of modern data tools such as 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 wheel and/or in-session notebook scripts for custom execution across parallel executor and worker nodes.
Experience in SQL, Stored Procedures, and Pyspark based 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, Aurora, or comparable engines.
Experience with batch and streaming data processing techniques and file compactization strategies.

Nice to Have

Automation experience with CI/CD pipelines to support deployment and integration workflows including trunk-based development using automation services such as Azure DevOps, Jenkins, Octopus.
Advanced proficiency in Pyspark for advanced data processing tasks.
Proficiency in spark workflow optimization and orchestration using tools such as Asset Bundles or DAG (Directed Acyclic Graph).

Working at Allata

At Allata, we value differences. Allata is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Allata makes employment decisions without regard to race, color, creed, religion, age, ancestry, national origin, veteran status, sex, sexual orientation, gender, gender identity, gender expression, marital status, disability or any other legally protected category. This policy applies to all terms and conditions of employment, including but not limited to, recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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