Data Engineer IRC299441

Description

• Strong experience in data engineering, including large-scale data integration, transformation, and pipeline development.
• Advanced proficiency in SQL and PySpark (Python) for data processing and analytics workloads.
• Solid understanding of data modeling concepts, including dimensional modeling and relational design.
• Experience applying data governance, data quality frameworks, and compliance best practices.
• Proven ability to design and operate scalable data warehouses and big data solutions on cloud platforms.
• Hands-on experience with Databricks, AWS services (especially S3), and cloud native data architectures.
• Familiarity with BI and reporting tools, particularly Amazon QuickSight.

Requirements

• Optimize data storage, query performance, and cost efficiency within cloud and big data environments.
• Develop, test, and maintain data transformations using SQL and PySpark (Python) on Databricks.
• Enable reporting and dashboards through Amazon QuickSight, ensuring trusted and actionable insights.
• Contribute to technical documentation, best practices, and team knowledge sharing to foster collaboration and a strong team culture.
• Bachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

Job responsibilities

• Ability to translate complex business needs into effective data strategies and technical solutions.
• Design, develop, and maintain scalable data pipelines and architectures using Databricks to support analytics, reporting, and operational use cases.
• Build and manage batch and streaming ingestion pipelines, leveraging AWS S3 as the foundational storage layer.
• Integrate and harmonize data from multiple systems to ensure accuracy, consistency, and timely availability.
• Partner with stakeholders to translate business and analytics requirements into robust data models and datasets.
• Implement and enforce data governance, quality, and security standards across the data platform.

GlobalLogic estimates the starting pay range for this role to be performed in Dallas, TX, to be $105,000 to $110,000, and reflects base salary only. This pay range is provided as a good-faith estimate, and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.

What we offer

Exciting Projects:Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.

Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home.

Professional Development:We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges.

Excellent Benefits:We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.