Job Description
Hi Connecttions,
Hope you are doing well!
We are Hiring "Senior Data Engineer (Python & Snowflake)"
Below is the JD for review
Senior Data Engineer(Snowflake & Python)
Sunnyvale, CA (Hybrid 3 Days a Week)
W2 Preferred
***Local Candidates Only***
Key Skills: Tableau, Python, Snowflake.
Overview:
We are seeking an experienced Senior Data Engineer with at least 8 years of industry experience and strong expertise in Python and Snowflake . The ideal candidate will excel at collaborating with business users, cross-functional teams, and offshore teams to deliver high-quality data solutions. A solid understanding and experience with Machine learning is a valuable addition.
Key Responsibilities:
- Design, develop, and manage robust, scalable data pipelines and workflows using Python and Snowflake.
- Collaborate with business stakeholders to gather and translate requirements into actionable solutions.
- Partner with cross-functional platform teams and offshore resources to ensure seamless project execution.
- Build and optimize data models and architecture to support analytics and reporting needs.
- Monitor and improve data integration processes, ensuring accuracy, reliability, and performance.
- Explore opportunities to incorporate machine learning solutions into data engineering workflows.
Qualifications: - 10+ years of experience in data engineering, with a strong focus on Python and Snowflake.
- Proven ability to work closely with business stakeholders to gather requirements and deliver impactful solutions.
- Extensive experience working with offshore and cross-functional teams.
- Excellent communication, problem-solving, and teamwork skills.
- Experience with machine learning concepts and applications.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) for data engineering and machine learning.
- Knowledge of CI/CD pipelines for data and ML workflows.
[About Ccube] Ccube: Pioneering Data-Driven Solutions in the Cloud
Ccube is a specialized firm that delivers measurable results across a wide range of industries by
focusing exclusively on Data and Artificial Intelligence within Cloud environments. We leverage
cutting-edge technologies and innovative strategies to help our clients harness the power of data
and achieve their business objectives.
Core Competencies:
Strategic Planning and Design of Data Systems: We collaborate with our clients to develop
comprehensive data strategies and design robust data systems that align with their business
goals. Our team of experts provides guidance on data architecture, data governance, and data
management best practices.
Development and Unification of Data Frameworks: We build and integrate data frameworks
that enable seamless data flow and analysis. Our solutions facilitate data ingestion, data
transformation, and data storage, ensuring data is readily available for business intelligence and
decision-making.
Advanced Data Analysis and Artificial Intelligence Applications: We employ sophisticated
data analysis techniques and artificial intelligence algorithms to extract valuable insights from
data. Our solutions include predictive modeling, machine learning, and natural language
processing, enabling our clients to make data-driven decisions and optimize their operations.
Cloud Computing, Data Operations, and Machine Learning Operations: We leverage the
scalability and flexibility of cloud computing to deliver efficient and cost-effective data solutions.
Our team of experts manages data operations and machine learning operations, ensuring
seamless integration and optimal performance.
Organizational Principles at Ccube: At Ccube, we are guided by a set of core principles that shape our culture and drive our success:
Efficiency: We strive to maximize efficiency by optimizing resource utilization and streamlining
processes.
Client Satisfaction: We are committed to providing exceptional service and exceeding our clients'
expectations.
Innovation: We embrace innovation and continuously explore new technologies and approaches
to deliver cutting-edge solutions.
Humility: We maintain professional modesty and recognize that there is always room for
improvement.
Employee Advantages: Ccube offers a stimulating and rewarding work environment with numerous benefits for our
employees:
Dynamic Startup Environment: We provide a fast-paced and entrepreneurial environment where
employees can learn, grow, and make a significant impact.
Career Growth Opportunities: We offer ample opportunities for career advancement and
professional development.
Performance-Based Incentives: We reward high-performing employees with competitive
compensation and performance-based bonuses.
Equity Participation: We offer equity participation options to eligible employees, providing them
with ownership and a stake in the company's success.
Professional Development Reimbursement: We encourage continuous learning and reimburse
employees for eligible professional development expenses.
Join Ccube and be part of a team that is shaping the future of data and AI in the cloud.
Job Tags
Full time, Local area, 3 days per week,