Job Description
Our partner is on a mission to build a safer financial system for billions of people around the world. A next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime at an unprecedented scale.
The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for their products and services. As a Staff Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people.
The impact you’ll have here:
Build highly reliable data services to integrate with dozens of blockchains.
Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time.
Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.
Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability.
Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhances their products.
What we’re looking for:
A Bachelor's degree (or equivalent) in Computer Science or a related field.
A proven track record, with 8+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment.
Exceptional programming skills in Python, as well as adeptness in SQL or Spark
SQL.
Versatility that spans the entire spectrum of data engineering in one or more of the following areas:
In-depth experience with data stores such as Click House, Elastic Search, Postgres, Redis, and Neo4j.
Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, Luigi, Azkaban, and Storm.
Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink.
Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog.
Proven ability in loading, querying, and transforming extensive datasets.
Engineering Levels:
Engineer: Responsible for helping to define project milestones and executing small decision decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing.
Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing.
Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor.
Why Join??
Join a mission-driven company that's building a safer financial system for billions of people.
Do meaningful work alongside a bright and humble team.
Develop world-class products that are trusted by leading institutions and agencies.
Tackle novel challenges in blockchain, data science, and threat intelligence.
They've raised $150M from JPMorgan Chase, Visa, Pay Pal, Tiger Global, Bessemer, among others.
Enjoy a remote-first workplace with hubs in San Francisco, Washington, DC, and London.
Your passion and interests will set you apart, especially if your background or career is unconventional. Join us
The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for their products and services. As a Staff Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people.
The impact you’ll have here:
Build highly reliable data services to integrate with dozens of blockchains.
Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time.
Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.
Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability.
Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhances their products.
What we’re looking for:
A Bachelor's degree (or equivalent) in Computer Science or a related field.
A proven track record, with 8+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment.
Exceptional programming skills in Python, as well as adeptness in SQL or Spark
SQL.
Versatility that spans the entire spectrum of data engineering in one or more of the following areas:
In-depth experience with data stores such as Click House, Elastic Search, Postgres, Redis, and Neo4j.
Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, Luigi, Azkaban, and Storm.
Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink.
Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog.
Proven ability in loading, querying, and transforming extensive datasets.
Engineering Levels:
Engineer: Responsible for helping to define project milestones and executing small decision decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing.
Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing.
Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor.
Why Join??
Join a mission-driven company that's building a safer financial system for billions of people.
Do meaningful work alongside a bright and humble team.
Develop world-class products that are trusted by leading institutions and agencies.
Tackle novel challenges in blockchain, data science, and threat intelligence.
They've raised $150M from JPMorgan Chase, Visa, Pay Pal, Tiger Global, Bessemer, among others.
Enjoy a remote-first workplace with hubs in San Francisco, Washington, DC, and London.
Your passion and interests will set you apart, especially if your background or career is unconventional. Join us
💡 Quick Summary
Seeking a career-building opportunity? The Data Engineer position is now open for candidates interested in the Remote Jobs sector. This role in New Delhi offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Remote Jobs is a plus.
