Job Search
We can help you build an exceptional career
Data Warehouse Engineer IRC188779
| Job | IRC188779 |
| Location | Poland |
| Designation | Consultant |
| Experience | 5-10 years |
| Function | Engineering |
| Skills | Airflow, Apache Flink, AWS, AWS Kinesis, AWS Redshift, AWS S3, PostgreSQL, Python, SQL |
| Work Model: | Remote |
Description
The customer solves transportation problems around the world for millions of travelers every day, providing real-time transit data streams for trip planners and a platform for transport authorities and operators. Clients include Google, Apple, Microsoft and public sector entities such as the West Midlands Department of Transport and Transportation.
The analytics platform allows users to understand the performance of their transit network. Real-time data and schedules are used and analyzed to determine the timeliness of vehicles operating the transit network. The data is converted to OLAP cubes to support querying performance data.
Requirements
Technologies
Primary technologies that the team uses are:
Python.
SQL.
AWS, including
Kinesis Data Firehose.
S3
RedShift.
PostgreSQL.
Apache Flink.
Apache Airflow.
Tools used by the team:
Jira.
Gitlab.
Docker.
In addition, we also make use of:
Apache Spark.
GraphQL.
Key Skills
Experience with the primary technologies and tools listed above.
Experience consuming and storing large amounts of data in a way that supports analysis.
Able to validate existing architectures, provide performance and cost optimisation options, and guide a team in making appropriate changes.
Supporting other team members in their learning and technical development.
Personal Qualities
In this role, the person expands within the customer’s existing development team.
Key personal qualities that we look for in our team members are:
Supportive of colleagues, taking time to assist others and help them learn.
Willingness to collaborate when problem solving and bring ideas based on other experience.
Ability to effectively plan work with the team and then deliver on commitments.
Focus on the deliverables of the team, stepping out of their own role to help others in the team get the team commitments completed.
#LI-VB2
#LI-Remote
Job Responsibilities
Our Analytic team is split into two, one team looking after the data warehouse, the other the web application middleware (Django) and front end (Angular). Both teams use a Scrum methodology with two week sprint cycles. Prior to the sprint, the teams will work with the product team to understand the items that will be included in future sprints and identify the necessary work. This process includes all members of the team, as do the other sprint ceremonies.
Whilst implementation will be carried out in the context of a sprint, the Principal Engineer will not necessarily contribute to deliverables of the sprint, instead working to identify improvements in our data warehouse solution, and supporting other team members as they implement changes in the sprint.
We Offer
Exciting Projects: With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.
Professional Development: We develop paths suited to your individual talents through international knowledge exchanges and professional certification opportunities.
Excellent Benefits: We provide our employees with private medical care, sports facilities cards, group life insurance, travel insurance, relocation package, food subsidies and cultural activities.
Fun Perks: We want you to feel comfortable in your work, which is why we create good working environment with relax zones, host social and teambuilding activities and stock our kitchen with delicious teas and coffees!