Role: Data Engineer - 02 Positions
Location: SFO, CA (Remote)
Interview Process: 3 Rounds of Interview

Expertise:
5-9+ years of relevant industry experience with a BS/Masters, or 2+ years with a PhD
Experience with distributed processing technologies and frameworks, such as Hadoop, Spark, Kafka, and distributed storage systems (e.g., HDFS, S3)
Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks
Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
Excellent written and verbal communication skills

A Typical Day:
Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, financial details, and external data feeds.
Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. Ensure data quality, consistency, and accuracy.
Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework
Collaborate with cross-functional teams, including Data Scientists, Product Managers, and Software Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements.
Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity
Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues.
Skill Sets - Python, SQL (expert level), Spark and Scala (intermediate).

Job Type: Full-time

Pay: $55.00 - $60.00 per hour

Expected hours: 40 per week

Benefits:

401(k)
Dental insurance
Health insurance

Schedule:

8 hour shift

Work Location: Remote

MKS Technology Inc. jobs

Data Engineer