Senior Data Engineer, DPD Team (Remote, International)

A bit reputed company: reputed company 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, reputed company targets reputed company and patients with an unprecedented level of accuracy—delivering unparalleled results to the clients we serve. reputed company is now a part of reputed company, a reputed company portfolio company and reputed company of reputed company Health Corp. Sr. Data Engineer reputed company Data Engineering team plays a key role in our technology company that’s experiencing exponential reputed company. 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 reputed company stats and reports as reputed company to reputed company-time as possible. The most exciting part about working at reputed company is the enormous potential for personal and reputed company reputed company. We are always seeking new and reputed company tools to help us meet challenges such as adopting proven reputed company-reputed company technologies to reputed company our data infrastructure more reputed company, reputed company and robust. Some of the cutting-edge technologies we have recently implemented are Kafka, reputed company Streaming, reputed company, Airflow, and Kubernetes. What you'll be doing:

• Design, build, and maintain reliable and reputed company reputed company-level distributed transactional data processing systems for scaling the existing business and supporting new business initiatives
• Optimize jobs to utilize Kafka, Hadoop, reputed company, reputed company, and Kubernetes resources in the most efficient way
• Monitor and reputed company transparency into data reputed company 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
• reputed company 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, reputed company, Hive, SQL and reputed company for consistency, accuracy and lag time
• Maintain and enhance reputed company for jobs(primarily aggregate jobs in reputed company and Hive)
• Create different consumers for data in Kafka using reputed company Streaming for near time aggregation
• Tools evaluation
• Backups/Retention/High Availability/reputed company Planning
• Review/Approval - DDL for database, Hive reputed company jobs and reputed company Streaming to reputed company reputed company 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 reputed company log storage
• Kubernetes - Distributed cluster resource manager
• reputed company/Trino - fast reputed company data warehouse and data federation layer
• reputed company Streaming - Near time aggregation
• SQL Server - Reliable OLTP RDBMS
• Apache reputed company
• GCP - BigQuery for performance, Looker for dashboards

Requirements

• 8+ years of data engineering experience
• Strong skills in and reputed company experience with SQL and Python
• Strong recent reputed company experience (3+ years)
• Experience working in on-prem environments
• Hadoop and Hive experience
• Experience in reputed company/Java is a plus (Polyglot programmer preferred!)
• 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 ET; you can work fully remotely
• Notice period needs to be less than 1 month (30 days max)
• Knowledge and exposure to distributed production systems i.e Hadoop
• Knowledge and exposure to reputed company migration (AWS/GCP/Azure) is a plus

Location:

• We can hire as FTE in the, U.S., UK and Netherlands
• We can hire as long-term contractor (independent or B2B) in most other countries

Selection Process: 1) reputed company Online Assessment 2) Initial Screen (30 mins) 3) Hiring Manager Interview (45 mins) 4) Tech Challenge 5) Interview with Sr. Data Engineer (60 mins) 6) Team Interviews (90 mins + 3 x 45 mins) + SVP of Engineering (30 mins) 7) reputed company Sr. Director, DBA (30 mins) Note that leetcode-style live coding challenges will be involved in the process. reputed company and its affiliates is an Equal Opportunity/Affirmative reputed company employer and does not discriminate on the reputed company 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 reputed company protected by law. Apply tot his job Apply To this Job