Looking for Data Engineer
Budget: $250 – $750 USD
The fast growing US based software development company is looking for a talented data engineer to join our infrastructure team to provide the best data solutions for our employees. The position involves work with various data sources and communicating with employees across all business functions to ensure data availability and data flow optimization across the whole company. The position is 100% remote and full-time.
Requirements:
Must have:
- 3+ years experience in Python with a solid grasp of the pydata stack (NumPy, pandas)
- Experience with Spark or similar framework
- Knowledge of Linux scripting
- 2+ years of experience in SQL
- 2+ years experience in gathering data from various data sources, the experience of work with big databases
Desired:
-Experience of work with GIT
-Experience with Tableau, Redash, or similar products
- Experience with data analysis/ data science
-Excellent communication skills
-Smart but humble, with a bias for action
-Knowledge of English language (middle)
Responsibilities:
We are looking for a qualified data engineer who will be in charge of:
1.Assembling large, complex data sets from different sources, matching, scrubbing & analyzing the data, and producing data feed for top management and other teams (finance, sales & marketing, support, infrastructure, analytics) to support the decision-making process.
2.Developing algorithms to help make raw data more useful, onboard new data sources, expand and optimize our data and data pipeline architecture, as well as optimize data flow and collection across teams.
3.Helping in redesigning our company’s data architecture to support the data needs of the fast-growing business and allow for greater scalability.
4. Work with data analytics to help in developing tools and reports that provide actionable insights into operational efficiency, profitability, customer acquisition, and other key business performance metrics.
What is for you?
Great opportunity for professional development within a young and fast-growing company
Interesting and challenging projects
Remote work on a full-time basis under contract
Flexible working hours
Paid sick leaves
Days off on national holidays
Medical insurance
Coworking compensation
Knowledge Exchange
The interview process will include 2 technical tests covering skills in Phyton and database tools as well as few interviews with team leads. Please apply only if you have strong "must have skills", otherwise you simply won't pass technical tests.
Requirements:
Must have:
- 3+ years experience in Python with a solid grasp of the pydata stack (NumPy, pandas)
- Experience with Spark or similar framework
- Knowledge of Linux scripting
- 2+ years of experience in SQL
- 2+ years experience in gathering data from various data sources, the experience of work with big databases
Desired:
-Experience of work with GIT
-Experience with Tableau, Redash, or similar products
- Experience with data analysis/ data science
-Excellent communication skills
-Smart but humble, with a bias for action
-Knowledge of English language (middle)
Responsibilities:
We are looking for a qualified data engineer who will be in charge of:
1.Assembling large, complex data sets from different sources, matching, scrubbing & analyzing the data, and producing data feed for top management and other teams (finance, sales & marketing, support, infrastructure, analytics) to support the decision-making process.
2.Developing algorithms to help make raw data more useful, onboard new data sources, expand and optimize our data and data pipeline architecture, as well as optimize data flow and collection across teams.
3.Helping in redesigning our company’s data architecture to support the data needs of the fast-growing business and allow for greater scalability.
4. Work with data analytics to help in developing tools and reports that provide actionable insights into operational efficiency, profitability, customer acquisition, and other key business performance metrics.
What is for you?
Great opportunity for professional development within a young and fast-growing company
Interesting and challenging projects
Remote work on a full-time basis under contract
Flexible working hours
Paid sick leaves
Days off on national holidays
Medical insurance
Coworking compensation
Knowledge Exchange
The interview process will include 2 technical tests covering skills in Phyton and database tools as well as few interviews with team leads. Please apply only if you have strong "must have skills", otherwise you simply won't pass technical tests.