Tech Lead Software Engineer for Data Platform

Posted 15 Days Ago
Be an Early Applicant
San Jose, CA
Mid level
Artificial Intelligence • Cloud • Fintech • Healthtech • Biotech
The Role
As a Tech Lead Software Engineer, you will design and build reliable big data systems and data transformations for various analytical purposes. You'll work on a large-scale data platform, contributing to product decisions and experimentation through system optimizations and best engineering practices.
Summary Generated by Built In

Description

Team Introduction:

Our mission in experimentation and evaluation team is to build the next-gen A/B testing platform, that empowers the company to make data-driven decision for the products. The supported scenarios include recommendation, push, ads, search, mobile app, UI interaction and service upgrades etc. Our platform's capabilities cover the entire experiment life cycle, from experiment design, experiment creation, metrics calculation, statistical analysis to final evaluation and launch. In the process of rapid iteration, we provide reliable services for businesses to make bold hypotheses and cautious verification.

As a software engineer in experimentation and evaluation team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.

What you'll do:

• Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis)

• Design and implement reliable, scalable, robust and extensible big data systems that support core products and business

• Establish solid design and best engineering practice for engineers as well as non-technical people

Requirements

•Prefer Mandarine and Chinese

• BS or MS degree in Computer Science or related technical field or equivalent practical experience

• Experience in big data technologies (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.)

• Experience with performing data analysis, data ingestion and data integration

• Solid communication and collaboration skills Preferred Qualifications

• Working industry experience with Big Data systems and projects • Experience in building large scale distributed systems in a product environment

• Experience with ETL (Extraction, Transformation & Loading), architecting data systems, schema design, and data modeling

• Experience in data privacy.

Top Skills

Clickhouse
Flink
Flume
Hadoop
Hive
Kafka
Mapreduce
Presto
Spark
The Company
HQ: San Jose, CA
55 Employees
Hybrid Workplace
Year Founded: 2015

What We Do

We are HireIO, the Workforce Solutions Provider who tomorrow’s tech giants count on to be connected with today’s tech genius. We help create an impact on the tech community by partnering with teams and professionals who specialize in FinTech, Cloud/SaaS, healthcare, biotech, A.I., and any emerging technologies, to grow from new opportunities and support equal opportunity

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