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5X

Data Engineer

Reposted 9 Days Ago
Remote
Hiring Remotely in India
Mid level
Remote
Hiring Remotely in India
Mid level
The Data Engineer will develop and maintain data pipelines, assist clients in understanding data needs, and support data integration, analysis, and visualization using various modern technologies.
The summary above was generated by AI

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

  • Collaborate with data leads to understand business requirements and translate them into effective data solutions.
  • Design, develop and optimize data models, applying basic data modeling concepts to support reporting and analytics using SQL and pythonWork with BI tools such as Power BI, Metabase, or Superset to support data visualization and reporting needs.
  • Implement data validation and testing procedures to ensure high-quality and reliable data outputs.
  • Follow best practices in data engineering to enhance the scalability and maintainability of data solutions.
  • Provide regular project updates, proactively communicate challenges, and collaborate with team members to resolve any issues.

Qualifications

  • 1-5 years of experience in data engineering or analytics.
  • Proficiency in SQL and Python for data manipulation, transformation, and analysis.
  • Hands-on experience with BI tools (Power BI, Metabase, Superset) basic understanding of data modeling concepts and experience in data validation and testing.
  • Strong problem-solving skills and the ability to quickly learn new technologies.
  • Excellent communication skills and a proactive attitude to keep team members and stakeholders informed.
  • Ability to work independently 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.

  • Know about the Company

  • Website: https://5X.co/
  • LinkedIn: https://www.linkedin.com/company/datawith5X/mycompany/
  • Glassdoor: https://www.glassdoor.co.in/Reviews/5X-Reviews-E6110869.htm
  • 5X in 2 minutes: https://www.youtube.com/watch?v=45Ppi00Lw70 

Top Skills

Airflow
AWS
Census
Databricks
Dbt
Fivetran
GCP
Google Bigquery
Heap
Looker
Metabase
Power BI
Preset
Python
Rudderstack
Segment
Snowflake
SQL
Superset
Tableau

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