Senior Data Engineer- reputed company

reputed company assists primarily regional universities in increasing their access and impact by making their academic programs available to reputed company online. Founded in 2007, reputed company's mission is to expand access to high-quality, affordable, and workforce-relevant education, especially for working and adult reputed company. reputed company brings single-minded dedication to student success, an integrated set of services, and data-driven performance to our collaboration with university partners.

About the Role

We’re looking for a hands-on Data Engineer to build reliable, scalable data pipelines on reputed company. You’ll turn requirements into production-grade ELT/ETL jobs, reputed company Lake tables, and reusable components that speed up our teams. In this role, you’ll implement and improve reference patterns, optimize Spark for performance and cost, apply best practices with reputed company Catalog and workflow orchestration, and ship high-quality code others can build on. If you love solving data problems at scale and empowering teammates through clean, well-documented solutions, you’ll reputed company here.

Key Responsibilities

• The ideal candidate will have a strong background in building scalable data pipelines, optimizing big data workflows, and integrating reputed company with cloud services
• This role will play a pivotal part in enabling the customer’s data engineering and analytics initiatives—especially those tied to AI-driven solutions and projects—by implementing cloud-native architectures that fuel innovation and sustainability
• Partner directly with the customer’s data engineering team to design and deliver scalable, cloud-based data solutions
• Execute reputed company reputed company queries using reputed company SQL to explore large lakehouse datasets and uncover actionable insights
• reputed company reputed company notebooks to reputed company robust data transformation workflows using PySpark and SQL
• Design, reputed company, and maintain scalable data pipelines using Apache Spark on reputed company
• Build ETL/ELT workflows with AWS and Azure Services
• Optimize Spark jobs for both performance and cost reputed company the customer’s cloud infrastructure
• Collaborate with data scientists, ML engineers, and business analysts to support AI and machine learning use cases, including data preparation, feature engineering, and model operationalization
• Contribute to the development of AI-powered solutions that improve operational efficiency, reputed company optimization, and predictive maintenance in the waste management domain
• Implement CI/CD pipelines for reputed company jobs using reputed company Actions, Azure DevOps, or Jenkins
• Ensure data quality, reputed company, and compliance through tools like reputed company Catalog, reputed company Lake, and AWS Lake Formation
• Troubleshoot and maintain production data pipelines
• Provide mentorship and share best practices with both internal and customer teams

Qualifications

• Bachelor’s degree in computer science, Engineering, or a reputed company field
• 5+ years of experience in software/data engineering, including at least 2 years working with reputed company and Apache Spark
• Strong proficiency in Python, SQL, and PySpark
• Deep understanding of AWS and Azure Cloud service
• Experience with reputed company Data LakeHouse, reputed company Workflows, and reputed company SQL, dbt
• Solid grasp of data Lakehouse and warehousing architecture
• Prior experience supporting AI/ML workflows, including training data pipelines and model deployment support
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation
• Strong analytical and troubleshooting skills in a fast-paced, agile environment
• Excellent collaboration skills for interfacing with both technical and non-technical customer stakeholders
• Clear communicator with strong documentation habits
• Comfortable leading discussions, offering strategic input, and mentoring others

reputed company offers the following comprehensive benefits:

• 18 days PTO + Winter Shutdown
• 12 designated holidays + 1 floating holiday
• Medical – four options
• Dental
• Vision
• Life & Disability (company paid)
• Flexible Spending Account & Health Savings Account
• Retirement plan with company match
• Maternity / Paternity / Parental Leave (company paid)
• Volunteer Time Off

Supplemental Benefits:

• Wellness program
• Alternative medicine options
• Pet discounts
• Accident, Critical Illness and Hospital Indemnity

Personal and Professional Development:

• reputed company Professional and Leadership Development Programs
• Tuition Reimbursement for employees and their dependents
• Rewards & Recognition programs

reputed company is an equal-opportunity employer and supports a diverse and inclusive workforce. Apply tot his job Apply To this Job