6+ years of experience in data engineering or analytics with a proven track record of delivering end-to-end data solutions., Proficiency in SQL and Python for data manipulation and analysis, with experience in Streamlit being highly desirable., Familiarity with data warehouse platforms like Snowflake and Google BigQuery, and a robust understanding of medallion data architecture., Strong problem-solving and communication skills, with the ability to engage proactively with clients..
Key responsabilities:
Understand and analyze client business requirements to design and implement effective data solutions.
Develop and maintain robust data pipelines, ETL processes, and data warehousing solutions.
Collaborate with cross-functional teams to ensure seamless data integration and visualization.
Provide proactive communications to update on project status and address any issues.
Report This Job
Help us maintain the quality of our job listings. If you find any issues with this job post, please let us know.
Select the reason you're reporting this job:
5X Information Technology & Services Startuphttps://5x.co/
11 - 50
Employees
About 5X
5X is the modern data stack as a managed service that enables companies to answer business questions, without having to worry about building data infrastructure or bringing in the right data engineering team. Companies using 5x are able to implement end-to-end data strategies in weeks, instead of years at a fraction of the cost of getting started from scratch.
Check out what companies of all sizes are saying about 5x - https://5x.co/resource-category/case-studies/
At 5X our top priority is now to build out the platform. Picture every company using 5X as getting a core stack (Data Ingestion, Warehouse, Modelling & Orchestration and BI) out of the box with user permissions and Utilization insights. We are looking for Data Engineers with with a proven track record of successfully delivering end-to-end data solutions. This is a full time role.
Responsibilities
Understand and analyze client's business requirements to design and implement effective data solutions.
Develop and maintain robust data pipelines, ETL processes, and data warehousing solutions using SQL, Python, and dbtDesign and optimize data models utilizing medallion data architecture and advanced data modeling techniques to support client reporting and analytics needs.
Implement best practices in data engineering to ensure high-quality, reliable, and scalable data solutions.
Collaborate with cross-functional teams to ensure seamless data integration and visualization.
Proactive communications to provide project updates and address any issues or concerns.
Qualifications
6+ years of experience in data engineering or analytics, with a proven track record of successfully delivering end-to-end data solutions.
Proficiency in SQL and Python for data manipulation, transformation, and analysis. Experience with Streamlit is highly desirable.
Experience with data warehouse platforms like Snowflake and Google BigQuery is highly desirable.
Robust understanding of medallion data architecture (Bronze, Silver, Gold layers) and advanced data modeling techniques.
Extensive experience with dbt for data transformation and modeling is highly desirable.
Strong problem-solving skills and the ability to adapt to new challenges.
Excellent communication skills and the ability to proactively engage with clients.
Getting things done, knowing how to unblock yourself, communicating, and engaging with customers proactively with minimal supervision.
Benefits
100% remote company - We love to give our employees the freedom to choose where they want to work from.
Wellness - We have monthly wellness programmes & workshops to make sure that all our employees are happy and satisfied.
Competitive compensation -We offer competitive compensation and meaningful equity.
Parental Leave: We value and support the family planning process and we provide paid parental leave.
Healthcare - We cover all employees’ health benefits and their dependents.
Offsite- 1 team offsite a year to incredible destinations. Check out our recent offsites here: Thailand, Sri Lanka and Bali
About 5X
5X is a data and AI platform focussed on traditional industries (like Banking, Manufacturing, Retail, Real Estate, Healthcare, Education,Government).
Traditional businesses are struggling with data silos, poor data quality - slowing the entire business now. These businesses are using legacy hard to reach systems or use platforms like SAP, Salesforce, Oracle which make it complex to get data out. 5X is able to extract data from hard to reach systems, centralize, clean, structure & model it and enable data & agentic Gen AI capabilities. Unlike legacy data platform implementations which take months and hundreds of thousands of dollars we are able to demonstrate end to end use cases in 48 hours at a fraction of the price.
5X was founded in 2020 with presence in the USA, Singapore, UK and India. Our global team is 70+ people strong and rapidly growing. We're backed by Flybridge Capital and creators of popular open source projects like Airflow, Superset, Parquet & founders from companies like Datadog, Astronomer, Mode, Rudderstack.