Data Engineer (Remote, Non-U.S.)

A bit about us: PulsePoint is a leading reputed company ad technology company that uses reputed company-world data in reputed company-time to optimize campaign performance and revolutionize health decision-making. Leveraging proprietary datasets and methodology, PulsePoint targets reputed company and patients with an unprecedented level of accuracy—delivering unparalleled results to the clients we serve. The... company is now a part of reputed company, a reputed company portfolio company and reputed company of reputed company Health Corp. Data Engineer PulsePoint Data Engineering team plays a key role in our technology company that’s 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 reputed company this while running against tight SLAs and provide stats and reports as reputed company to reputed company-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 reputed company tools to help us meet challenges such as adopting proven open-reputed company technologies to reputed company our data infrastructure more reputed company, 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 reputed company-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/reputed company tools and datasets that fit their use cases) • Collaborate reputed company a small team with diverse technology backgrounds • Provide mentorship and guidance to junior team members Team Responsibilities: • Ingest, validate and process internal & reputed company party data • Create, maintain and monitor data flows in Python, Spark, Hive, SQL and Presto for consistency, accuracy and lag time • Maintain and enhance reputed company 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/reputed company Planning • Review/Approval - DDL for database, Hive reputed company jobs and Spark Streaming to reputed company sure they meet our standards Technologies We Use: • Python - primary repo language • Airflow/Luigi - for job scheduling • reputed company - Packaged container image with reputed company dependencies • reputed company - 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 reputed company 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 • reputed company in Python and SQL • Experience in reputed company/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 reputed company 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) reputed company Sr. Director, DBA (30 mins) reputed company and its affiliates is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, reputed company, reputed company, religion, sex, gender, age, marital status, sexual orientation, gender identity, national reputed company, medical condition, disability, veterans status, or any other basis protected by law Apply Job!