Job Description

The role involves developing, optimizing, and maintaining the company's big data platform, participating in the design and implementation of data collection, processing, modeling, and analysis systems to support business decision-making and intelligent applications.

Key Responsibilities

Participate in big data platform architecture design and technology selection, developing and maintaining data processing pipelines (Data Pipeline).
Implement data cleaning, ETL, aggregation, and computation tasks using frameworks like Hadoop/Spark/Flink.
Develop and optimize offline analytical query systems such as Hive/Presto/ClickHouse.
Design and implement real-time data stream processing (e.g., Kafka, Flink, Spark Streaming).
Collaborate with data analysts and algorithm engineers to provide high-quality data interfaces and services.
Optimize big data cluster performance, monitor resources, schedule tasks, and handle exceptions.
Prepare technical documentation, establish development standards, and promote standardization and automation in data engineering.

Job Requirements

Bachelor's degree or higher in Computer Science, Software Engineering, Data Engineering, or related fields.
Proficiency in Hadoop ecosystem (HDFS, YARN, Hive, HBase, Spark, Flink, Kafka, etc.).
Strong SQL skills and familiarity with at least one programming language (Python/Java/Scala).
Experience in ETL development and data warehouse modeling (dimensional modeling, star/snowflake schemas).
Familiarity with Linux environments, Shell scripting, and data scheduling tools (e.g., Airflow/Azkaban/DolphinScheduler).
Cloud-based big data platform experience (AWS EMR, GCP BigQuery, Azure Synapse, Aliyun MaxCompute) is a plus.
Strong communication, problem-solving, and independent project execution skills.

Preferred Qualifications

Experience in real-time computing or log collection systems (e.g., Flink + Kafka + Druid).
Knowledge of data security, privacy protection, and access control mechanisms.
Experience supporting machine learning data processing workflows.
Background in large-scale internet or financial industry projects.

Benefits

Global remote work option, competitive salary, annual leave, positive team culture, and supportive company environment.

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AI Job Analysis

Intelligent Job Recommendations Based on Deep Learning

Ready for Analysis

Analyze Job Core Requirements

The core requirements for this Data Engineer position at Deepcoin focus on building and maintaining a robust big data platform to support data-driven decision-making and intelligent applications.

Mastery of the Hadoop ecosystem, including tools like HDFS, YARN, Hive, HBase, Spark, and Flink.
Proficiency in ETL development, data cleaning, aggregation, and computation using frameworks such as Spark or Flink.
Strong SQL skills and expertise in programming languages like Python, Java, or Scala.
Experience with real-time data stream processing technologies, such as Kafka and Spark Streaming.
Adeptness in optimizing big data cluster performance, monitoring resources, and handling exceptions.

Understand Employer Recruitment Intent

Deepcoin, likely operating in a technology-centric sector such as fintech or blockchain given its name, seeks a Data Engineer to develop scalable data infrastructure that supports business intelligence and innovative applications. Their recruitment intent is to find a candidate with deep expertise in big data technologies to enhance data processing efficiency, integrate with machine learning workflows, and ensure high-performance systems for decision-making, indicating a focus on innovation and reliability in a potentially data-intensive industry like cryptocurrency or financial services.

MyJob Interviewer Says

As an interviewer at Deepcoin, I would prioritize candidates demonstrating strong technical skills in big data technologies, particularly hands-on experience with Hadoop and real-time processing frameworks. I assess problem-solving abilities through scenario-based questions and evaluate collaboration skills by examining past teamwork in data engineering projects. Key focus points include proficiency in ETL development, SQL optimization, and familiarity with cloud platforms, as these align with our need for scalable and secure data systems in a fast-paced environment.

AI Matching Suggestions

To effectively apply for this Data Engineer role at Deepcoin, tailor your resume and interview preparation to emphasize your relevant experience and align with their tech-focused industry, such as fintech or blockchain.

Highlight specific projects involving big data technologies like Hadoop, Spark, or Flink in your resume, quantifying achievements with metrics like improved processing speed or reduced errors.
Emphasize any experience with real-time data processing or data security, as these are preferred qualifications for Deepcoin, by preparing examples from previous roles.
Research Deepcoin's company profile and projects to discuss how your skills can contribute to their data infrastructure, showing alignment with their innovative approach.
Prepare for technical interviews by reviewing case studies on optimizing data pipelines and practicing responses to questions about collaboration with data analysts, as this demonstrates your fit for their team culture.

Data Engineer at Deepcoin

Employment Information

Job Description

Key Responsibilities

Job Requirements

Preferred Qualifications

Benefits

AI Job Analysis

Analyze Job Core Requirements

Understand Employer Recruitment Intent

MyJob Interviewer Says

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Data Engineer at Deepcoin

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