Senior Data Engineer (Remote - Optional)
Apollo, India

Experience
1 Year
Salary
0 - 0
Job Type
Job Shift
Job Category
Traveling
No
Career Level
Telecommute
Qualification
As mentioned in job details
Total Vacancies
1 Job
Posted on
Jan 19, 2022
Last Date
Feb 19, 2022
Location(s)

Job Description

AboutApollo.io:
Founded in 2015, Apollo.io is a leading sales intelligence and engagement platform trusted by over 13,000 paying customers, from rapidly growing startups to the largest global enterprises.
Our platform unifies a database of 200 million business contacts with advanced intelligence and engagement tools, to help over 500,000 sales, marketing, and recruiting professionals to connect with the right person at the right time with the right message, at speed and scale.
In the last year, we've grown ARR 3x, quadrupled our active users, maintained profitability 18 out of the past 20 months, and recently closed a $110M Series C led by a Top 2 VC (not yet publicly announced) to fuel the next phase of our growth.
Working atApollo.io
We are a remote-first inclusive organization focused on operational excellence. Our way of working ensures clear expectations and an environment to do your best work with ample reward.
Your Role amp; 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 amp; 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 amp; Relevant Experience
Required:• 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:• Bachelor's degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)• 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 pipelineWhy 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 auto

Job Specification

Job Rewards and Benefits

Apollo

Information Technology and Services - San Jose, United States
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