We use cookies and other tracking technologies to improve your browsing experience on our site, analyze site traffic, and understand where our audience is coming from. To find out more, please read our privacy policy.

By choosing 'I Accept', you consent to our use of cookies and other tracking technologies.

We use cookies and other tracking technologies to improve your browsing experience on our site, analyze site traffic, and understand where our audience is coming from. To find out more, please read our privacy policy.

By choosing 'I Accept', you consent to our use of cookies and other tracking technologies. Less

We use cookies and other tracking technologies... More

Login or register
to apply for this job!

Login or register to start contributing with an article!

Login or register
to see the full job description!

Login or register
to boost this post!

Show some love to the author of this blog by giving their post some rocket fuel πŸš€.

Login or register to search for your ideal job!

Login or register to start working on this issue!

Engineers who find a new job through Python Works average a 15% increase in salary πŸš€

Senior Data Engineer

New York, NY, US

Salary

Competitive

Contract type

Full time

Technologies & frameworks

  • data engineering
  • java
  • python

Benefits & perks

  • Macbook Pros
  • Brand new offices
  • $1 per month healthcare
  • Excellent Coffee, snacks & free fruit
  • Profit Share

To sum it up...

Data Engineering with Python at a next generation cryptocurrency exchange

Role overview

THE ROLE

As a member of our data engineering team, you’ll shape the way we approach data at Gemini by using your engineering, analytical and communication skills to work with teams across the business πŸ“ˆ

You know how to ask the right questions and are passionate about using data to support and drive informed business decisions. You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects. πŸ’ͺ

You’ll mentor data engineers and analysts and guide our internal teams to use data to improve the product and achieve KPIs. Communicating your insights with leaders across the organization is paramount to success. πŸ“’

RESPONSIBILITIES

  • Design, architect and implement best-in-class Data Warehousing and reporting solutions
  • Lead and participate in design discussions and meetings
  • Mentor data engineers and analysts
  • Design, automate, build, and launch scalable, efficient and reliable data pipelines into production
  • Build real-time data and reporting solutions
  • Design, build and enhance dimensional models for Data Warehouse and BI solutions
  • Research new tools and technologies to improve existing processes
  • Develop new systems and tools to enable the teams to consume and understand data more intuitively
  • Partner with engineers, project managers, and analysts to deliver insights to the business
  • Perform root cause analysis and resolve production and data issues
  • Create test plans, test scripts and perform data validation
  • Tune SQL queries, reports and ETL pipelines
  • Build and maintain data dictionary and process documentation

MINIMUM QUALIFICATIONS

  • 7+ years experience in data engineering with data warehouse technologies
  • 7+ years experience in custom ETL design, implementation and maintenance
  • 7+ years experience with schema design and dimensional data modeling
  • Experience building real-time data solutions and processes
  • Experience building and integrating web analytics solutions
  • Advanced SQL skills is a must
  • Skilled in programming languages Python and/or Java
  • Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc)
  • Experience with one or more ETL tools (Informatica, Pentaho, SSIS, Alooma, etc)
  • Strong computer science fundamentals including data structures and algorithms
  • Strong software engineering skills in any server side language, preferable Python
  • Experienced in working collaboratively across different teams and departments
  • Strong technical and business communication

PREFERRED QUALIFICATIONS

  • Kafka, HDFS, Hive, Cloud computing, machine learning, text analysis, NLP & Web development experience is a plus
  • NoSQL experience a plus
  • Experience with Continuous integration and deployment
  • Knowledge and experience of financial markets, banking or exchanges

Location

New York is the most populous city in the US with more than 8 million inhabitants. A lot of immigrants from over 180 countries live in the City. Travelers are usually attracted to its cosmopolitanism and energy. New York consists of five boroughs: Manhattan, Brooklyn, Queens, The Bronx, Staten Island. New York is also well-known for its cultural heritage Empire State Building, Central Park and Statue of Liberty. The City is a center for fashion, media, culture, research and a booming tech scene.

The tech scene in New York has changed a lot in recent years. A lot of the initial excitement has worn off and settled into a stable trend of successful businesses. In both 2014 and 2015, a New York City tech company went public with a valuation of over $1 billion. It is now #2 startup ecosystem in the world, with startups raising $11.5 billion in venture capital in 2017. NYC is also the HQ of choice for Spotify, Consensys and WeWork.

Did you know...

  • New York City’s Federal Reserve Bank holds $90 billion in gold
  • 60M tourists visited NYC in 2016
  • More than 800 languages are spoken in New York City, making it the most linguistically diverse city in the world; 4 in 10 households speak a language other than English
Engineers who find a new job through Python Works average a 15% increase in salary.

Salary

Competitive

Contract type

Full time

Technologies & frameworks

  • data engineering
  • java
  • python

Benefits & perks

  • Macbook Pros
  • Brand new offices
  • $1 per month healthcare
  • Excellent Coffee, snacks & free fruit
  • Profit Share

Other roles that might interest you

Data Engineer
$100K - 175K
Data driven solutions for millions of music fans across the world. Using a highly smart and machine learning based algorithm to learn who you are as a user.
More Info
Data Engineer
$100K - 175K
Data driven solutions for millions of music fans across the world
More Info
Senior Backend Engineer
$140K - 200K + Equity
Using data to make luxury real estate efficient and effective
More Info
Senior Data Engineer