Job Description

As a Data Warehouse Engineer, you will play a crucial role in analyzing business requirements for the data middle platform and constructing database warehouses to provide robust data support for various business operations. Your responsibilities will include participating in data source analysis and ensuring seamless data integration between the big data platform and other business systems. Additionally, you will be tasked with designing data warehouses and developing ETL processes based on big data technology platforms. A key part of your role will involve researching relevant technologies to optimize big data development workflows and planning applications for the big data platform.

Key Responsibilities

Analyze business requirements for the data middle platform and build database warehouses to provide data support
Participate in data source analysis and complete data integration between the big data platform and business systems
Design data warehouses and develop ETL processes based on big data technology platforms
Research relevant technologies to optimize big data development workflows and plan big data platform applications

Job Requirements

Bachelor's degree or higher in Computer Science or a related field
3+ years of experience in data warehouse development, preferably with internet data warehouse construction
Strong programming skills, proficient in Hive-SQL writing and optimization, familiar with common ETL tools, and knowledge of at least one programming language (Java, Python, Shell)
Experience with distributed computing frameworks or stream processing frameworks, understanding of data warehouse modeling, and deep knowledge of data structures and algorithm design
Expertise in data warehouse model design in big data environments and proficiency in OLAP dimensional modeling
Experience in building data platforms (data development, governance, assets, etc.)
Strong sense of responsibility, excellent communication skills, and teamwork spirit
Experience with real-time data development using Spark Streaming, Flink, etc.

Preferred Qualifications

Experience in backend service architecture design for social products
Familiarity with blockchain ecosystems and technologies
Background in statistics/mathematics with experience in massive data processing, analysis, and mining

Benefits

Competitive compensation package and comprehensive benefits will be provided based on experience and qualifications.

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AI Job Analysis

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Analyze Job Core Requirements

The Backend Engineer position at Mask Network requires a strong foundation in data warehouse development, big data technologies, and ETL processes. The role demands expertise in handling large-scale data systems and integrating them with business operations.

3+ years of experience in data warehouse development, preferably in internet data warehouse construction
Proficiency in Hive-SQL, ETL tools, and at least one programming language (Java, Python, Shell)
Experience with distributed computing frameworks (e.g., Spark Streaming, Flink) and data warehouse modeling
Strong knowledge of OLAP dimensional modeling and data platform construction (data development, governance, assets)
Background in statistics/mathematics with experience in massive data processing and analysis is a plus

Understand Employer Recruitment Intent

Mask Network, known for its focus on blockchain and decentralized technologies, is likely seeking a Backend Engineer to enhance its data infrastructure. The company's emphasis on blockchain ecosystems suggests a need for robust data handling capabilities to support its decentralized applications. The role involves not only technical expertise but also the ability to integrate data systems with business operations, indicating a strategic push towards data-driven decision-making. The preference for candidates with blockchain familiarity and social product architecture design hints at Mask Network's dual focus on both technical scalability and user-centric product development.

MyJob Interviewer Says

As an interviewer, I would prioritize candidates who demonstrate a deep understanding of data warehouse modeling and ETL processes, as these are critical for the role. Strong programming skills and experience with big data technologies like Spark Streaming or Flink would be essential. Additionally, given Mask Network's blockchain focus, familiarity with decentralized technologies would be a significant advantage. Communication skills and teamwork are also key, as the role involves cross-functional collaboration. Candidates should be prepared to discuss specific projects where they optimized data workflows or designed scalable data solutions.

AI Matching Suggestions

To stand out for this role, tailor your resume and interview preparation to highlight your expertise in data warehouse development and big data technologies. Here are specific suggestions:

Emphasize your experience with Hive-SQL, ETL tools, and programming languages like Java or Python in your resume
Showcase projects where you designed or optimized data warehouses, especially in internet or blockchain-related contexts
Prepare to discuss your knowledge of distributed computing frameworks (e.g., Spark Streaming, Flink) and how you've used them in real-time data development
Highlight any experience with blockchain technologies or social product architectures, as these are preferred qualifications for Mask Network
Demonstrate your problem-solving skills by discussing how you've tackled data integration challenges or improved data workflows in past roles

Backend Engineer at Mask Network

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Backend Engineer at Mask Network

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