Gcp/aws Data Engineer (optional Wfh) Job in Fresh Prints

Experienced Data Engineer - Join an Innovative Growth Team (Optional WFH)

Fresh Prints is a New York-based custom apparel startup. We find incredible students and give them the working capital, training, and support to build the business at their schools. We have 400+ students who will contribute significantly to our revenue in the next 12 months.

Data is a product that can be used to drive team behaviours and generate revenue growth.

• How do we use our data to drive up account value?
• How do we develop additional revenue channels?
• How do we increase operational efficiency?
• How do we usher in the next stage at Fresh Prints?

These are the questions that our cross-functional Growth Team members work on every day. They do so not as data analysts, developers, or marketers, but as entrepreneurs, determined to drive the business forward.

You d be our first dedicated Data Engineer. As such, you ll touch every aspect of data at Fresh Prints. You ll work with the rest of the Data Science team to sanitise the data systems, automate pipelines, and build test cases for post batch and regular quality evaluation. You will develop alert systems for fire drill activities, build an immediate cleanup plan, and document the evolution of the ingestion process. You will also assist in mining that data for insights and building visualizations that help the entire company utilize those insights.

This role reports to Jolijt Tamanaha, Our VP of Growthand you will work with an extremely talented and professional team.

Responsibilities

• Work closely with every team at Fresh Prints to uncover ways in which data shapes how effective they are
• Designing, building, and operationalizing large-scale enterprise data solutions and applications using GCP data pipeline and automation services
• Create, restructure, and manage large datasets, files, and systems
• Take complete ownership of the implementation of data pipelines and hybrid data systems along with test cases as we scale
• Create data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Monitor and maintain overall Tableau server health

Experience Required

• 3+ years of experience in Cloud data ingestion and automation from a variety of sources using GCP services and building hybrid data architecture on top
• 3+ years of strong experience in SQL & Python
• 3+ years of experience with Excel and/or Google Sheets
• 2+ years of experience with Tableau server or online
• A successful history of manipulating, processing, and extracting value from large disconnected datasets
• Experience in an agile development environment
• Fluency in English is a must

Personal Attributes

• Able to connect the dots between data and business value
• Strong attention to detail
• Proactive: You believe it s always on you to make sure anything you do is a success
• In love with challenges:You revel in solving problems and want a job that pushes you out of your comfort zone
• Goal-oriented: You re incredibly ambitious. You re dedicated to a long-term vision of who you are and where you want to go
• Open to change:You re inspired by the endless ways in which everything we do can always be improved
• Calm under pressure: You have a sense of urgency but channel it into productively working through any issues

Education

• Google cloud certified
• Bachelor in computer science or information management is a strong plus

Compensation & Benefits

• Competitive salary
• Health insurance
• Personal Accident Insurance (India only)
• Learning opportunities
• Working in a great culture

Job Location

• The work location is based in Hyderabad, India
• We will have an office in Hyderabad eventually. You have the option of WFH or being in Hyderabad and working from our office
• Candidates from other countries may be considered

Working Hours

• 3:30 PM to 11:30 PM IST