Crypto.com14.02.26
AI SCORE 8.5

Senior Data Engineer - Remote Position at Crypto.com

$120K–$150K/year

About the Role

We're hiring a Senior Data Engineer to join our innovative team at Crypto.com. In this remote position, you'll play a crucial role in building a universal data platform that meets both real-time and offline computing and storage requirements. As a Senior Data Engineer, you'll define the data pipeline scheme according to demand scenarios and deliver it using various infrastructure methods.

What You'll Do

  • Build and enhance a universal data platform to optimize resource efficiency.
  • Define and implement data pipeline schemes based on diverse demand scenarios.
  • Improve the stability and flexibility of data assets across the organization.
  • Collaborate with cross-functional teams to deliver high-quality data solutions.
  • Utilize technologies such as Hadoop, Spark, Flink, and Airflow to optimize data processing.
  • Apply your understanding of distributed systems principles to enhance data calculations and storage.
  • Communicate effectively with stakeholders to align on project goals and deliverables.
  • Engage in continuous learning and knowledge updating to stay ahead in the field.

Requirements

  • Bachelor's degree or higher in Computer Science, Big Data, Mathematics, or a related field.
  • 3-5 years of experience in data development, with a strong focus on data engineering.
  • Proficiency in Hadoop, Spark, Flink, and Airflow, with optimization experience in these technologies.
  • Strong understanding of distributed systems principles, calculations, and storage.
  • Excellent communication and logical thinking skills.
  • Self-driven with a commitment to continuous learning and professional growth.

Nice to Have

  • Experience with cloud platforms such as AWS or Azure.
  • Knowledge of machine learning principles and their application in data engineering.
  • Familiarity with data governance and compliance standards.

What We Offer

  • Competitive salary with opportunities for growth and advancement.
  • Comprehensive medical insurance package covering dependents.
  • Attractive annual leave entitlements, including birthday and work anniversary leave.
  • Flexible work hours with options for hybrid or fully remote setups.
  • Access to our internal mobility program for diverse career opportunities.
  • Crypto.com Visa card provided upon joining.
  • A supportive and collaborative work culture with a focus on innovation.
  • Commitment to diversity and inclusion in our hiring practices.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Engineer role at Crypto.com offers an exciting opportunity to work remotely on a universal data platform. With competitive salary and flexible work hours, it's a great chance to grow in the crypto industry.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficiency in Hadoop and Spark for building and optimizing data pipelines, with hands-on experience in configuring cluster settings and tuning performance for large datasets.

Ability to work independently and manage time effectively in a fully remote work environment, demonstrating strong self-motivation and discipline to meet project deadlines.

Extensive experience in designing and implementing distributed systems and data architectures, showcasing a proactive approach to problem-solving and a deep understanding of data optimization techniques.

Learning Resources

Hadoop: The Definitive Guidebook

Career Path

Senior Data Engineer(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$20.5B
Annual Growth
18.2%
AI Adoption in Data Engineering
65%
Investment in Big Data Technologies
+40%
Labour Demand for Data Engineers
+30%
Avg Salary for Senior Data Engineers
$130K

Skills & Requirements

Required
HadoopSparkFlink
Growing in Demand
Apache KafkaMachine LearningCloud Data Warehousing
Declining
MapReduceHDFS (Hadoop Distributed File System)

Domain Trends

Rise of Real-Time Data Processing
The demand for real-time data processing solutions is increasing, with 70% of organizations adopting streaming technologies like Apache Flink and Kafka.
Shift to Cloud-Based Data Solutions
Cloud data platforms are projected to grow by 25% by 2025, with companies increasingly migrating from on-premises Hadoop clusters to cloud services.
Integration of AI with Data Engineering
65% of data engineering teams are integrating AI tools to optimize data pipelines, indicating a shift towards automation and smarter data management.

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