Data Engineer | TX OR | Remote Onsite | TN H1B GC | 10+ Yrs

 

Certainly! Here's a detailed job description for a Data Engineer position based in Texas (TX), targeting candidates with Green Card (GC) status and at least 10 years of experience, focusing on onsite work:

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Job Title: Data Engineer

Location: Texas (TX) - Onsite | Portland OR | Remote | Hybrid | Local 

Employment Type: Remote & Onsite

Experience: 10+ years in Data Engineering

Visa:  TN, H1B, GC

Job Description:

As a Data Engineer, you will play a crucial role in designing, implementing, and maintaining scalable data pipelines and infrastructure to support data-driven initiatives and analytics solutions. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and efficiency of data systems and processes.

Key Responsibilities:

1. Data Pipeline Development: Design and develop robust, scalable data pipelines to ingest, transform, and store large volumes of structured and unstructured data from multiple sources.

2. Data Modeling and Integration: Implement data models and schemas to support data analytics and reporting requirements. Integrate data from various internal and external sources into centralized data repositories.

3. Data Warehousing: Design and maintain data warehousing solutions for storing and querying historical and real-time data. Optimize data storage and retrieval for performance and cost efficiency.

4. ETL Processes: Develop and optimize Extract, Transform, Load (ETL) processes to ensure data quality, consistency, and reliability throughout the data lifecycle.

5. Data Governance and Security: Implement data governance policies and security measures to ensure data integrity, confidentiality, and compliance with regulatory requirements.

6. Performance Tuning: Monitor and optimize database performance, query execution, and data processing workflows. Identify and resolve performance bottlenecks and scalability issues.

7. Documentation and Collaboration: Create and maintain technical documentation, including data architecture diagrams, data dictionaries, and process documentation. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions.

8. Continuous Improvement: Stay updated with industry trends and best practices in data engineering. Evaluate and recommend new technologies, tools, and methodologies to enhance data processing capabilities and efficiency.

Required Skills:

• Proven experience (10+ years) as a Data Engineer or similar role, with a strong background in designing and implementing data pipelines and ETL processes.
• Expertise in data modeling, database design, and optimization techniques.
• Proficiency in programming languages for data manipulation and scripting (e.g., Python, SQL).
• Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud-based data platforms (e.g., AWS, Azure, GCP).
• Solid understanding of data warehousing concepts, dimensional modeling, and data governance practices.
• Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• Certifications in data engineering or cloud platforms (e.g., AWS Certified Big Data - Specialty, Google Professional Data Engineer).
• Experience with DevOps practices and tools for automated deployment and monitoring of data pipelines.
• Knowledge of machine learning and data science concepts for integrating predictive analytics into data solutions.

This role offers an opportunity to leverage your expertise in data engineering to build and optimize data infrastructure that supports business operations and analytics initiatives. If you have a passion for data engineering, meet the qualifications outlined above, and are interested in an onsite role in Texas (TX), we encourage you to apply. This position provides a dynamic work environment where you can contribute to advancing data capabilities and driving business success through data-driven insights.

Connection Link: https://www.linkedin.com/in/dreakansh-151217126/