Data Engineer

Accellor is a Microsoft Gold Partner and premier Salesforce Partner that uses best-of-breed cloud technology to deliver superior customer engagement and business effectiveness for clients.
Data
Mid-Level Software Engineer
In-Person
51 - 100 Employees
5+ years of experience

Description For Data Engineer

Accellor, headquartered in Silicon Valley with offices in London, Hyderabad, and Singapore, is a Microsoft Gold Partner and premier Salesforce Partner. We specialize in cloud technology solutions for superior customer engagement and business effectiveness. Our expertise spans Financial, Retail, High Tech, Healthcare, and Retail industries, offering end-to-end implementation of salesforce.com and powerful third-party apps. We also develop products for the AppExchange used by both boutique and Fortune 500 companies.

As a Data Engineer at Accellor, you'll be responsible for:

  1. Building a High-Performing Data Platform:

    • Assist in building a data platform for reporting tools and analytics
    • Optimize data models for performance
  2. Data Tools Development:

    • Create data tools for analytics and optimize data models
    • Evaluate and communicate pros and cons of different modeling approaches
  3. Production Data Pipelines:

    • Design and build production data pipelines within a big data architecture
    • Utilize continuous delivery practices for deploying, supporting, and operating data pipelines
  4. Understanding of Data Enterprise Applications:

    • Gain thorough understanding of data enterprise applications (unified ID, de-duplication, classification, aggregation models)
    • Identify and prioritize data sources of truth
  5. Data Quality Integration:

    • Integrate data quality practices into daily work and delivery process
    • Ensure data quality throughout the data lifecycle
  6. Database Experience:

    • Design database schemas covering all use cases
    • Evaluate and suggest suitable databases considering pricing and deployment

Join our collaborative environment where you can expand your skills working with a diverse team on exciting projects for global brands. We offer work-life balance, professional development opportunities, and excellent benefits including competitive salaries, family medical insurance, and more.

Last updated 6 months ago

Responsibilities For Data Engineer

  • Build and optimize data platforms for reporting tools and analytics
  • Create and optimize data tools and models for analytics
  • Design and build production data pipelines within a big data architecture
  • Implement continuous delivery practices for data pipelines
  • Understand and work with data enterprise applications
  • Integrate data quality practices into daily work and delivery processes
  • Design database schemas and evaluate suitable databases

Requirements For Data Engineer

Python
  • Minimum 5+ years experience as Data Engineer
  • Experience in SQL, Python, and PySpark Notebook programming skills
  • Understanding of Data Warehousing ETL and reporting
  • Exposure to Fabric, Synapse Analytics Notebooks, or Databricks
  • Excellent communication and interpersonal skills
  • Ability to interact directly with clients
  • Design relational, multidimensional, and Master data management systems

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
Education Budget
  • Exciting projects with global brands
  • Collaborative work environment
  • Flexible work schedules
  • Opportunities to work from home
  • Paid time off and holidays
  • Professional development and training programs
  • Competitive salaries
  • Family medical insurance
  • Personal Accident Insurance
  • Periodic health awareness programs
  • Extended maternity leave
  • Annual performance bonuses
  • Referral bonuses

Interested in this job?

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