Clarkston Consulting

201 – 500 Xodimlar

Logistika Oziq-ovqat va ichimliklar Sog‘liqni saqlash

Clarkston Consulting hayot fanlari, iste’mol mahsulotlari va chakana savdo sohalaridagi tashkilotlarni qo‘llab-quvvatlovchi strategik biznes konsalting kompaniyasidir. Uning faoliyati biznes strategiyasi, operatsiyalar, joriy etish, boshqariladigan xizmatlar, o‘zgarishlarni boshqarish va ma’lumotlarga asoslangan transformatsiyani qamrab oladi. Kompaniya, shuningdek, biznes jarayonlari konsaltingi, klinik tadqiqotlar, raqamli va texnologik konsalting hamda ta’minot zanjirini boshqarish bo‘yicha ekspertiza taqdim etib, mijozlarga murakkab operatsion va tashkiliy muammolarni hal qilishda yordam beradi.

Kompaniyadagi ish o‘rinlari

Senior Data Engineering Consultant

Lead the design of scalable data pipelines, architectures, and analytics solutions for client teams. Clarkston Consulting serves organizations in life sciences, consumer products, and retail.

19 soat oldin

Amerika Qo‘shma Shtatlari

Florida

Shimoliy Karolina

Texas Gibrid To‘liq stavka Senior Talab Qilinadigan Til: inglizcha Ma’lumotlar muhandisi

Airflow AWS Azure Bulut C++Java Kafka Python Scala Spark SQL

Tavsif

Partner with solution architects, developers, analysts, and data scientists on data and analytics work.
Lead client projects with stakeholders and technical teams to define and deliver data solutions.
Build and tune scalable data pipelines and architectures.
Create and maintain analytics and reporting models, including star and snowflake schemas.
Turn business needs into technical data solutions.
Maintain consistent, effective data delivery architecture across projects.
Address data needs across teams, systems, and products.
Strengthen data processes, scalability, performance, reliability, and automation.
Lead, develop, and mentor data engineering teams.
Help shape client solutions, estimates, proposals, and delivery.
Contribute to project plans, progress updates, and consulting work.
Receive mentorship and take part in internal and external professional development.

Talablar

At least 3 years of experience as a data engineer or in a related data-focused role.
Advanced SQL skills, including relational databases and query writing.
Experience building and optimizing big data pipelines, architectures, and datasets.
Experience with data modeling and schema design, including star and snowflake schemas.
Experience conducting root cause analysis on internal and external data and processes.
Strong analytical skills with structured and unstructured datasets.
Experience building processes for data transformation, structures, metadata, dependencies, and workload management.
Experience manipulating and processing large, disconnected datasets to extract value.
Working knowledge of message queues, stream processing, and highly scalable big data stores.
Experience working with cross-functional teams in a dynamic environment.
Experience with Databricks, Spark, Snowflake, Airflow, and Kafka.
Experience with Azure or AWS cloud services.
Experience with Scala, Python, Java, and/or C++.
Strong written and verbal communication with technical and business audiences.
Demonstrated consulting and client-facing experience.
Experience in life sciences, consumer products, and/or retail is preferred.
Graduate degree in computer science, statistics, informatics, information systems, or an equivalent field.
Willingness to travel an estimated 30–50%.

Imtiyozlar

Comprehensive health and wellness coverage, including medical, dental, vision, and more.
401(k) with company contributions.
Paid vacation, personal days, holidays, and sick leave.
Paid parental leave and family building support, including adoption, surrogacy, and infertility assistance.
Life and disability insurance.
Investment in training and professional development.
Tuition assistance.
Interview accommodations available upon request.

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