Associate Data Engineer

Core Duties

• Conceptualize design, implement and develop solutions for complex system/programs independently.
• Design and develop applications that may involve sophisticated data manipulation.
• Implementation and maintenance of complex Data Store/ Data Lake/Lake house and Data warehousing systems and data-intensive solutions that are scalable, optimized, and fault-tolerant.
• Document system builds and application configurations; maintain and update documentation as needed.
• Provide technical analysis, design, development, conversion and implementation work.
• Work as a project leader, as needed, for projects of moderate complexity.
• Serve as a technical resource for all Data Engineering applications.
• Compare, evaluate, and implement new features and technologies, and integrate them into the computing environment.
• Follow team software development methodology.
• Mentor lower-level software developers.
• Design and implement Data Migration and Data Integration across cloud and hybrid environments.

Qualifications

• Minimum Requirements: Bachelor's degree and five years of relevant experience, or a combination of education, training and relevant experience.
• Expertise in designing, developing, testing, and deploying applications.
• Ability to define and solve logical problems for highly technical applications.
• Hands-on experience and training in Advanced SQL, Advanced Python programming, AWS Services (such as S3, Redshift, Glue ETL, IAM, DMS, Appflow, VPC and others), SnowFlake, FiveTran, KAFKA, Airflow, Oracle Cloud and other open source tools.
• Experience in writing reusable complex Python/PySpark scripts for ELT, Business Logic OR APIs.
• Other Coding experience such as Scala and R Programming is a plus.
• Hands-on development work on all aspects of data analysis, data provisioning, modeling, performance tuning and optimization.
• Experience in working on AWS cloud environment, using the marketplace for the right tool, efficient utilization of them to meet business requirements.
• Build scalable data pipelines for both real time and batch using best practices in data modeling, ETL/ELT processing using various technology stack.
• Know the pain points in Data integration across SaaS applications and implement the best solution that fits the organization.
• Strong communication skills with both technical and non-technical clients.

Physical Requirements

• Constantly perform desk-based computer tasks.
• Frequently sit, grasp lightly/fine manipulation.
• Occasionally stand/walk.
• Rarely writing by hand, lift/carry/push/pull objects that weigh up to 10 pounds.
• Rarely stand/walk.
• Rarely lift/carry/push/pull objects that weigh up to 10 pounds.

Working Conditions

• May work extended hours, evenings and weekends.

Stanford University

• The expected pay range for this position is $138,402 to $163,985 per annum.

Stanford University

• Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.

Stanford University

• Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our work-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! Redwood City. Our new Stanford Redwood City campus, opened in 2019, will be the workplace for approximately 2,700 staff, including University IT, whose jobs are important to supporting the University’s mission. The campus will offer amenities such as onsite cafes and a dining pavilion, a high-end fitness facility with an outdoor pool, and a childcare center for Stanford families.

Stanford University

• Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.