[Work From Home] Data Engineer (Remote, Non-U.S.)
Shape the future with us at workwarp. We need a Data Engineer! Based in our vibrant Remote office, this role is available now. This position requires a strong and diverse skillset in relevant areas to drive success. An attractive remuneration of a competitive salary is on offer for the successful candidate.
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A bit about us:PulsePoint is a leading healthcare ad technology company that uses real-world data in real-time to optimize campaign performance and revolutionize health decision-making. Leveraging proprietary datasets and methodology, PulsePoint targets healthcare professionals and patients with an unprecedented level of accuracyÂdelivering unparalleled results to the clients we serve. The company is now a part of Internet Brands, a KKR portfolio company and owner of WebMD Health Corp.
Data Engineer
PulsePoint Data Engineering team plays a key role in our technology company thatÂs experiencing exponential growth. Our data pipeline processes over 80 billion impressions a day (> 20 TB of data, 200 TB uncompressed). This data is used to generate reports, update budgets, and drive our optimization engines. We do all this while running against tight SLAs and provide stats and reports as close to real-time as possible.
The most exciting part about working at PulsePoint is the enormous potential for personal and professional growth. We are always seeking new and better tools to help us meet challenges such as adopting proven open-source technologies to make our data infrastructure more nimble, scalable and robust. Some of the cutting-edge technologies we have recently implemented are Kafka, Spark Streaming, Presto, Airflow, and Kubernetes.
What you'll be doing:
 Design, build, and maintain reliable and scalable enterprise-level distributed transactional data processing systems for scaling the existing business and supporting new business initiatives
 Optimize jobs to utilize Kafka, Hadoop, Presto, Spark, and Kubernetes resources in the most efficient way
 Monitor and provide transparency into data quality across systems (accuracy, consistency, completeness, etc)
 Increase accessibility and effectiveness of data (work with analysts, data scientists, and developers to build/deploy tools and datasets that fit their use cases)
 Collaborate within a small team with diverse technology backgrounds
 Provide mentorship and guidance to junior team members
Team Responsibilities:  Ingest, validate and process internal & third party data  Create, maintain and monitor data flows in Python, Spark, Hive, SQL and Presto for consistency, accuracy and lag time  Maintain and enhance framework for jobs(primarily aggregate jobs in Spark and Hive)  Create different consumers for data in Kafka using Spark Streaming for near time aggregation  Tools evaluation  Backups/Retention/High Availability/Capacity Planning  Review/Approval - DDL for database, Hive Framework jobs and Spark Streaming to make sure they meet our standards
Technologies We Use:
 Python - primary repo language
 Airflow/Luigi - for job scheduling
 Docker - Packaged container image with all dependencies
 Graphite - for monitoring data flows
 Hive - SQL data warehouse layer for data in HDFS
 Kafka - distributed commit log storage
 Kubernetes - Distributed cluster resource manager
 Presto/Trino - fast parallel data warehouse and data federation layer
 Spark Streaming - Near time aggregation
 SQL Server - Reliable OLTP RDBMS
 GCP - BigQuery for performance, Looker for dashboards
Requirements
 5+ years of data engineering experience
 Fluency in Python and SQL
 Experience in Scala/Java is a plus (Polyglot programmer preferred!)
 Hive/Presto experience
 Proficiency in Linux
 Strong understanding of RDBMS and query optimization;
 Passion for engineering and computer science around data
 East Coast U.S. hours 9am-6pm EST preferred, but we can be flexible as long as you can work until 1 or 2pm EST; you can work fully remotely
 Knowledge and exposure to distributed production systems i.e Hadoop
 Knowledge and exposure to Cloud migration (AWS/GCP/Azure) is a plus
Selection Process:
1) Recruiter Screen (30 mins)
2) Hiring Manager Interview (45 mins)
3) Tech challenge take-home
4) SQL & Python Interview (60 minutes)
5) Team Interviews (60 mins + 3 x 45 mins) + SVP of Engineering (15 mins)
6) WebMD Sr. Director, DBA (30 mins)
WebMD and its affiliates is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law. Apply Job!
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We Encourage You to Apply!
Even if you feel you're not a perfect match, we'd still love to hear from you. We are looking for great people to join our friendly team.
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