The Company Apollo.io is building the most data-rich, intelligent sales platform on the market, and with over 5000+ paying customers, our platform is at an exciting segment of its development.
So far, we have built a database of 250 million business contacts and 20 million companies, and our platform offers features such as a built-in fully customizable scoring engine, full sales engagement stack, and deep analytics suite.
We empower companies to scale up their sales operations through our full-service platform, allowing our customers to be more efficient and to improve their revenue generation.
We are backed by Silicon Valley investors such as Y Combinator, Nexus Venture Partners, SV Angel, and Social Capital. We're headquartered in San Francisco, CA with a brilliant worldwide remote team.
Your Role & Mission As a Senior Data Engineer, you will be responsible for maintaining and operating the data warehouse and connecting in Apollo’s data sources.
Daily Adventures & Responsibilities
Develop and maintain scalable data pipelines and build new integrations to support continuing increases in data volume and complexity.
Implement automated monitoring, alerting, self-healing (restartable / graceful failures) features while building the consumption pipelines.
Implement processes and systems to monitor data quality, ensuring production data is always accurate and available.
Write unit / integration tests, contributes to engineering wiki and document work.
Define company data models and write jobs to populate data models in our data warehouse.
Work closely with all business units and engineering teams to develop a strategy for long-term data platform architecture. Competencies / Key Traits
Excellent communication skills to work with engineering, product, and business owners to develop and define key business questions and build data sets that answer those questions.
Self-motivated and self-directed
Inquisitive, able to ask questions and dig deeper
Organised, diligent, and great attention to detail
Acts with the utmost integrity
Genuinely curious and open; loves learning
Critical thinking and proven problem-solving skills required Skills & Relevant Experience Required :
Bachelor's degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)
Experience working in data pipelines and data warehouses
Deep knowledge of data warehousing with an ability to collaborate cross-functionally
Excellent in data structures and algorithms skills Preferred :
4+ years experience in data engineering or in data facing role
Experience using the Python data stack
Experience deploying and managing data pipelines in the cloud
Experience working with technologies like Airflow, Hadoop and Spark
Understanding of streaming technologies like Kafka, Spark Streaming Key Outcomes Within the first 1st month
Consume readings on what we are building on the data system
Deep-dive looking into big query and other pipeline technologies to evaluate trade-offs Within the first 3 months
Collaborate, plan, and create a design doc for the overall data architecture and action plan for implementation
Implement multiple POCs with the proposed architecture and technology with other engineers
Iterate and refine; begin implementation of data warehouse technology, pipelines, and automations using Apollo's 100+ TB of data Within the 4-6th months
Complete and own regular maintenance of data warehouse technology, pipelines, and automations
Be able to triage issues and bugs; create optimizations, add additional monitoring 6th month and beyond
Continue researching, evaluating, and integrating new sources of data for analysis and synthesizing improved data performance and quality
Investigate building a data streaming pipeline Why Apollo? This role is available from anywhere in the world. As we are scaling our company, we are committed to providing the best possible environment for our team.
Not only do we offer a competitive salary and benefits, informal, fun, and remote working environment, but we also ensure that our team is constantly learning and following best practices as they advance in their careers.
A forward thinking company that believes in hiring A-Players and giving them the guidance, coaching and autonomy to maximise impact and work towards their career goals.
Our work environment is highly diverse with a global remote team, and we are intentional in building an inclusive culture where everyone is able to be the best version of themselves and where ideas are encouraged.
We're a technology-first team dedicated to building the greatest engagement software available and we're building a long-term company, and we want you to be a part of that growth and help scale the organisation and its talent!If this type of work sounds interesting to you and you have the necessary experience and qualifications, - please apply and we hope to talk to you soon!