Only available for residents of Lewisville, TX, USAOur client is a multinational company specializing in information technology (IT), business process outsourcing (BPO), and consulting services.Global Presence: Operates in over 90 countries with delivery centers worldwide.Employees: Over 160,000 professionals globally.Services and Offerings
- IT Services: Software development, IT consulting, cloud services, data analytics, and cybersecurity.
- Digital Transformation: AI/ML integration, IoT solutions, and blockchain services.
- Telecom Solutions: A significant focus area, including 5G technology and network transformation.
- Enterprise Solutions: ERP (Enterprise Resource Planning) systems, CRM (Customer Relationship Management), and supply chain solutions.
- BPO Services: Customer service, finance and accounting outsourcing, and HR services.
The company is known for its innovation in digital transformation, cloud computing, and AI-driven solutions.Key PartnershipsStrategic alliances with companies such as:
- Microsoft
- Amazon Web Services (AWS)
- Google Cloud
- SAP
- Oracle
Customer: PaccarJob Title: Data EngineerLocation: Lewisville, TXRemote/Onsite: Day 1 onsite at customer locationContracting: $65/hr C2H (contract to hire after 6 months)Full time: $120kAcceptable Visa: USC/GC/H1 (No Transfer)Job Functions / ResponsibilitiesCandidate must have Battery Electric Vehicle related experience.Build and document automated data pipelines from a wide range of data sources with an emphasis on automation and scaleDevelop highly available applications and APIs to support near-real-time integrations using an AWS-based technology stackEnsure product and technical features are delivered to spec and on-time in a DevOps fashionContribute to overall architecture, framework, and design patterns to store and process high data volumesDevelop solutions to measure, improve, and monitor data quality based on business requirementsDesign and implement reporting and analytics feature in collaboration with product owners, reporting analysts / data analysts, and business partners within an Agile / Scrum methodologyProactively support product health by building solutions that are automated, scalable, and sustainable - be relentlessly focused on minimizing defects and technical debtProvide post-implementation production support for data pipelinesQualificationsBachelors' degree in Computer Science, Informatics, or a related field requiredMasters' degree in Computer Science preferred3+ years of experience in a data engineering role2+ years of experience with AWS and related services (e.g., EC2, S3, SNS, Lambda, IAM, Snowflake)Hands-on experience with ETL tools and techniques (Desirable)Basic proficiency with a dialect of ANSI SQL, APIs, and PythonKnowledge of and experience with RDBMS platforms, such as MS SQL Server, MySQL, NoSQL, Postgres