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Data Engineer

A global digital transformation partner helping transform organizations like Kraft Heinz, NFL, Moderna, and Lululemon through digital innovation.
Data
Mid-Level Software Engineer
Hybrid
501 - 1,000 Employees
3+ years of experience
Enterprise SaaS · Consumer

Description For Data Engineer

Apply Digital, a global digital transformation company with 750+ team members, is seeking a Data Engineer to join their team in Delhi NCR, India. The role initially focuses on supporting Kraft Heinz's digital transformation initiatives, with opportunities to work on other international brands. The position requires expertise in designing and optimizing data pipelines using cloud-native architectures, particularly Google Cloud Platform. The ideal candidate will have 3+ years of experience, strong SQL and Python skills, and experience with ETL/ELT tools. The company offers a hybrid work environment, comprehensive benefits, and a strong focus on professional development. Apply Digital values diversity and inclusion, operating with a 'One Team' approach through pod structures. The role involves collaboration with cross-functional teams across different time zones, contributing to significant projects that have global impact. The company has a proven track record of successful digital transformations for major brands and offers opportunities for growth and learning through various initiatives and support systems.

Last updated 3 months ago

Responsibilities For Data Engineer

  • Design, develop, and maintain data pipelines for ETL/ELT/Streaming workflows
  • Collaborate with backend and platform engineers to integrate data solutions into cloud-native applications
  • Optimize data storage, retrieval, and processing for performance and cost efficiency
  • Operate cloud data infrastructure, primarily Google Cloud Platform
  • Work with analytics and product teams to define data models for reporting
  • Implement data security, privacy, and governance best practices
  • Monitor, troubleshoot, and enhance data pipeline reliability
  • Maintain clear documentation for data pipelines
  • Stay updated with best practices and emerging technologies

Requirements For Data Engineer

Python
  • Strong proficiency in English (written and verbal communication)
  • Experience working with remote teams across North America and Latin America
  • 3+ years of experience in data engineering
  • Strong SQL skills for data modeling, transformation, and optimization
  • Proficiency in Python for data processing and automation
  • Experience with cloud data platforms, particularly Google Cloud Platform (GCP)
  • Hands-on experience with Google BigQuery, Cloud Storage, and Pub/Sub
  • Familiarity with ETL/ELT tools such as DBT, Apache Beam, or Google Dataflow
  • Knowledge of data privacy, security, and compliance practices
  • Strong analytical and problem-solving skills
  • Excellent communication and teamwork abilities

Benefits For Data Engineer

Medical Insurance
Education Budget
  • Private healthcare coverage
  • Provident fund contributions
  • Gratuity bonus after five years
  • Flexible personal time off (PTO)
  • Training budgets
  • Partner tech certifications
  • Custom learning plans
  • Workshops and mentorship

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