Data Engineer

Posted on 9/22/2023

INACTIVE

51-200 employees

Accelerates client's cloud transformation journeys

Company Overview

Qarik Group, a Google Cloud Premier Partner, offers a unique blend of expertise from Xooglers, Wall Street veterans, and delivery experts, providing a competitive edge in accelerating Cloud Native practices for clients. The company's hands-on approach has led to improved engineering productivity and rapid response to market changes for numerous clients. Qarik's focus on transitioning from data center native to cloud native models not only accelerates a company's transformation journey but also enhances their competitive advantage and ability to attract top engineering talent.

Consulting

Company Stage

Seed

Total Funding

N/A

Founded

2019

Headquarters

New York, New York

Growth & Insights

Headcount

6 month growth

↑ 0%

1 year growth

↓ -10%

2 year growth

↓ -20%

Locations

New York, NY, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

BigQuery

Data Analysis

Google Cloud Platform

Hadoop

Java

MySQL

Postgres

SQL

Tableau

Apache Beam

Apache Flink

Python

Looker

CategoriesNew

Data & Analytics

Requirements

Effective communication, interpersonal and organizational skills
Self motivate/manage your own tasks and projects to agreed roadmap
Previous experience as a data engineer or in a similar role working with big data pipelines
Strong experience with Data Warehousing (e.g. BigQuery) and Transactional DBs (such as Spanner, AlloyDB, MySQL, Postgres, etc.)
Strong experience with visualization, reporting and analytics tools such as Looker and Tableau
Knowledge of other big data tools such as Hadoop, Flink, etc. a plus
Fluency in SQL or similar data manipulation syntax for relational databases
Technical expertise in some relevant programming language (e.g. SQL, python, R, java)

Responsibilities

Guide the client through their data journey with a thorough knowledge of the GCP data product offerings and ecosystem.
Write Data Ingest and ETL integrations and code to make sure the ETL process performs optimally across streaming and batch modes (e.g. Apache Beam)
Write efficient and modular SQL to allow optimal querying of complex questions
Design, build and deliver visualization capabilities such as reporting and dashboarding via off-the-shelf systems as well as custom developed metrics visualization (e.g. with Looker)
Architect, create and manage technological infrastructure of a data platform
Evaluate business needs and objectives; generate ideas for data innovation to meet clients’ business goals; enable business leaders to do exploratory analytics

Desired Qualifications

Knowledge of other big data tools such as Hadoop, Flink, etc.
Experience with programming languages like Python, R, or Java

Qarik Overview

Co-Founded by Google Cloud Engineering leaders and backed by Peak 6 Investments, Qarik (pronounced “KAR-ik,” meaning “rock” in Gaelic) is an IT Solutions company with a focus on Google Cloud Platform (GCP) strategy and implementation. We’re growing and continue to attract brand-name (F1000) clients.

We strive to work “with” our clients. We embrace agile instead of deliverables and milestones - establish a vision, create a theme-based roadmap, and execute. We work in the trenches with our clients to learn from each other’s experiences and capabilities.

Unlike the traditional IT Solutions model, where consultants can remain long beyond project completion, we enter our engagements with the end in mind. Core to our ethos is the ability to solve complex problems and teach clients to do the same.

Overview of the Role

We are looking for an experienced Data Engineer to join our growing team. You would work closely with our clients toward executing the right data strategy with production-quality ETL and streaming data processing pipelines, data lake design, data governance, and building reports and dashboards. This includes sufficiently understanding the clients’ objectives and the insights that clients are trying to draw such that you can feed those needs into your system design and execution. You would also be involved in communicating relevant concepts to technical and non-technical audiences alike, and working to architect and deliver solutions to problems. Our ideal team member will have the mathematical and statistical expertise you’d expect and a natural curiosity and creative mind.

Key Responsibilities

Guide the client through their data journey with a thorough knowledge of the GCP data product offerings and ecosystem.
Write Data Ingest and ETL integrations and code to make sure the ETL process performs optimally across streaming and batch modes (e.g. Apache Beam)
Write efficient and modular SQL to allow optimal querying of complex questions
Design, build and deliver visualization capabilities such as reporting and dashboarding via off-the-shelf systems as well as custom developed metrics visualization (e.g. with Looker)
Architect, create and manage technological infrastructure of a data platform
Evaluate business needs and objectives; generate ideas for data innovation to meet clients’ business goals; enable business leaders to do exploratory analytics

Key Criteria

Effective communication, interpersonal and organizational skills
Self motivate/manage your own tasks and projects to agreed roadmap
Previous experience as a data engineer or in a similar role working with big data pipelines
Strong experience with Data Warehousing (e.g. BigQuery) and Transactional DBs (such as Spanner, AlloyDB, MySQL, Postgres, etc.)
Strong experience with visualization, reporting and analytics tools such as Looker and Tableau
Knowledge of other big data tools such as Hadoop, Flink, etc. a plus
Fluency in SQL or similar data manipulation syntax for relational databases
Technical expertise in some relevant programming language (e.g. SQL, python, R, java)

Qarik offers a competitive and comprehensive employee compensation and benefits package.

Qarik is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, or protected veteran status. For further information, please contact us at [email protected].