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Namely

SaaS HR platform for mid-market companies

Senior Data Engineer (New York)
New York City, NY, US
Job Description / Skills Required

Namely is the first HR, payroll, and benefits platform employees actually love to use. People are at the center of everything we do—from our platform to our staff. Our team embraces different ways of thinking, working, and succeeding together. Why join us? We believe every company and every employee deserves a great workplace, supported by HR technology they use and love. That’s why we fundamentally care about the experiences our own employees have. Namely has a diverse team of over 300 employees headquartered in New York, San Francisco, Austin, and Atlanta. Our software and services are used by more than 800 companies and 200,000 employees globally. And what can we say—we’re a fun bunch! But most importantly, we believe in giving you the tools you need to do the best work of your career.

This person will work with the Development Team to develop the data warehouse. Position will perform ETL (extract, transform and load) to bring data from 2+ disparate systems into the Data Warehouse. We are looking for an individual who has experience with MSSQL Server but also is willing to learn Big Data. Job location is in NYC.



Key Responsibilities / Performance Requirements

Assist in construction of data warehouse

Translate user requirements for reporting and analysis into data warehouse deliverables

Support operation and expansion of data warehouse and reporting environment

Manage multiple projects in a fast-paced environment

Extract and load data into the data warehouse using cutting edge technology

Monitor performance and reliability of load processes



Qualifications

Bachelor’s Degree in Computer Science , Information Systems or related field required

Minimum of 2+ years of SQL experience

Minimum of 4+ year ETL experience

Familiarity with SSIS, SQL Server

Experience developing data warehouse in micro-services environment

Python experience a plus



Highly Desired

Familiarity with streaming technologies (Spark, Kafka, EMR)

Familiarity with Looker a plus