Skills
Required
data
analytics
decoding
learning
blockchain
volatility
python
tensorflow
aws
risk
assessment
technology
finance
compensation
engineering
etl
pipeline
development
design
api
redshift
storage
model
support
ml
latency
integration
tableau
power
checks
monitoring
reliability
documentation
tracking
sql
indexing
nosql
mongodb
scripting
pyspark
gcp
orchestration
airflow
hadoop
kafka
containerization
docker
collaborative
teamwork
agile
scrum
optimization
certifications
cutting
apache
spark
onboarding
Job
Description
CryptoChakra is an industry-leading cryptocurrency analytics and education platform at the forefront of decoding digital asset markets for global audiences. By integrating advanced machine learning frameworks, real-time blockchain intelligence, and interactive learning ecosystems, we empower traders, institutions, and enthusiasts to navigate market volatility with precision. Our platform leverages Python, TensorFlow, and AWS-powered infrastructure to deliver predictive analytics, risk assessment tools, and educational modules that bridge the gap between complex blockchain data and actionable insights. As a remote-first innovator, we are committed to democratizing crypto literacy through scalable technology and user-centric solutions, driving the future of decentralized finance. Position: Fresher Data Engineer Intern Remote | Full-Time Internship | Compensation: Structured based on qualifications Role Summary Join CryptoChakra’s data engineering team to architect and optimize the infrastructure powering our predictive analytics platform. This role offers hands-on experience in building scalable data pipelines, warehousing solutions, and ETL frameworks that transform raw blockchain data into strategic insights. Key Responsibilities Data Pipeline Development: Design and implement robust ETL processes to ingest, clean, and structure real-time data from blockchain explorers (Etherscan), exchanges (Binance API), and social sentiment feeds. Cloud Infrastructure: Assist in deploying AWS-based data warehouses (Redshift, S3) and optimize storage solutions for time-series crypto data. Model Support: Collaborate with data scientists to operationalize ML models by creating feature stores and ensuring low-latency data access. Tool Integration: Maintain and enhance analytics tools like Tableau/Power BI by connecting them to centralized data repositories. Quality Assurance: Implement data validation checks and monitoring systems to ensure pipeline reliability and accuracy. Documentation: Create technical blueprints for data workflows, including schema designs and lineage tracking. Qualifications Technical Skills Proficiency in SQL (complex queries, indexing) and NoSQL databases (MongoDB, Cassandra). Experience with Python/R for scripting ETL tasks and data transformation (Pandas, PySpark). Familiarity with cloud platforms (AWS, GCP) and orchestration tools (Airflow, Luigi). Basic understanding of distributed systems (Hadoop, Kafka) and containerization (Docker). Professional Competencies Strong problem-solving skills to troubleshoot pipeline bottlenecks or data inconsistencies. Ability to translate business requirements into technical specifications. Collaborative mindset for remote teamwork using Agile/Scrum methodologies. Preferred Experience Academic projects involving data warehousing, API integrations, or pipeline optimization. Exposure to blockchain datasets, DeFi protocols, or on-chain analytics. Certifications in AWS, Google Cloud, or data engineering frameworks. Academic Background Currently pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, Data Engineering, or a related technical field. What We Offer Mentorship from senior engineers working on live crypto analytics projects. Exposure to cutting-edge tools like Snowflake, dbt, and Apache Spark. Opportunity to contribute to open-source blockchain data initiatives. CryptoChakra is an equal-opportunity employer. Compensation terms (paid/unpaid) will be finalized during onboarding, reflecting prior experience and technical alignment with project needs. Show more Show less
