Latest Jobs at ParallelScore

• We are hiring a Blockchain Engineer to design, develop, and deploy decentralized applications and smart contracts. The ideal candidate combines strong software engineering skills with hands-on blockchain experience and a passion for innovation in distributed systems.

Key Responsibilities

• Develop and deploy smart contracts using Solidity, Rust, or Vyper.
• Build and integrate blockchain-based applications (Ethereum, Polygon, or other EVM-compatible chains).
• Collaborate with backend engineers to connect blockchain components to APIs and databases.
• Implement best practices for security, scalability, and testing of smart contracts.
• Stay current on Web3, DeFi, and Layer-2 advancements.

Required Skills & Experience

• 5+ years in software engineering, including 2–3 years in blockchain development.
• Proficiency in Solidity, Web3.js/ethers.js, and blockchain frameworks (Hardhat, Truffle).
• Strong understanding of cryptography, consensus mechanisms, and token standards (ERC-20, ERC-721).
• Familiarity with cloud infrastructure (AWS, Azure) and CI/CD pipelines.

Preferred

• Live project or Open-Source contribution
• Experience with The Graph, IPFS, or smart-contract indexing.
• Knowledge of DeFi protocols or blockchain analytics.

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• We are looking for a Data Engineer experienced in Databricks and cloud-native data architecture to build scalable data pipelines and optimize analytics workflows. You will ensure that data is reliable, accessible, and efficiently processed for analytical and AI initiatives.

Key Responsibilities

• Design, build, and maintain ETL/ELT pipelines using Databricks (PySpark, Delta Lake).
• Integrate and transform data from diverse structured and unstructured sources.
• Implement data quality, monitoring, and governance processes.
• Optimize data storage and compute performance in AWS, Azure, or GCP.
• Collaborate with data scientists and analysts to support advanced modeling and BI.

Required Skills & Experience

• 5+ years in data engineering or big data development.
• Hands-on expertise in Databricks, Apache Spark, and SQL.
• Strong coding ability in Python and familiarity with data orchestration tools (Airflow, dbt).
• Experience with data lakehouse architectures and CI/CD pipelines.

Preferred

• Relevant Cloud certification
• Knowledge of Delta Live Tables, streaming data (Kafka), or machine learning integration in Databricks.

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• We are seeking an experienced Data Scientist with strong expertise in graph analytics and Neo4j to build intelligent models that uncover hidden relationships and optimize decision-making. You will design and implement analytical frameworks using graph data, AI, and statistical modeling.

Must Have Capability

• Design and execute graph-based analytical models using Neo4j, Cypher, and the Graph Data Science Library.
• Develop machine learning and predictive models leveraging graph embeddings.
• Collaborate with data engineers to prepare and transform large, complex graph datasets.
• Apply algorithms such as community detection, link prediction, and centrality analysis.
• Communicate findings through data visualization and storytelling to business stakeholders.

Required Skills & Experience

• 5+ years of experience in data science or analytics.
• Proficiency with Neo4j, Cypher, and graph-based data modeling.
• Strong programming skills in Python (pandas, scikit-learn, PyTorch/TensorFlow).
• Solid foundation in statistics, feature engineering, and ML pipelines.
• Familiarity with cloud platforms and Databricks for data preparation.

Preferred

• AWS Cloud certification
• Knowledge of graph neural networks (GNNs) or advanced graph embeddings.
• Experience deploying models into production (APIs, dashboards).