Data Engineer

Summary

Join Apply Digital as a Data Engineer and contribute to building and maintaining cloud-native data pipelines for Kraft Heinz and other global brands. You will design, develop, and maintain ETL/ELT/streaming workflows, collaborate with cross-functional teams, optimize data storage and processing, and ensure data security and compliance. This role requires strong SQL, Python, and GCP experience, along with excellent communication and teamwork skills. The position offers a hybrid work model with remote options, comprehensive benefits including healthcare and retirement contributions, flexible PTO, and ample learning opportunities. Apply Digital is committed to fostering an inclusive and supportive work environment.

Requirements

• Strong proficiency in English (written and verbal communication) is required
• Experience working with remote teams across North America and Latin America, ensuring smooth collaboration across time zones
• 3+ years of experience in data engineering, focusing on building scalable pipelines and cloud-native architectures
• 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
• Exposure to data pipeline orchestration tools like Dagster, Apache Airflow, or Google Cloud Workflows
• Knowledge of data privacy, security, and compliance practices
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities

Responsibilities

• 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 (BigQuery, Cloud Storage, Pub/Sub)
• Work with analytics and product teams to define data models for reporting and business intelligence
• Implement data security, privacy, and governance best practices
• Monitor, troubleshoot, and enhance data pipeline reliability and performance
• Maintain clear documentation for data pipelines, transformations, and data sources
• Stay updated with best practices and emerging technologies in data engineering

Preferred Qualifications

• Experience with real-time data streaming solutions (e.g., Kafka, Pub/Sub, or Kinesis)
• Familiarity with machine learning workflows and MLOps best practices
• Experience with BI and data visualization tools (e.g., Looker, Tableau, or Google Data Studio)
• Knowledge of Terraform for Infrastructure as Code (IaC) in data environments
• Familiarity with data integrations involving Contentful, Algolia, Segment, and Talon.One

Benefits

• Location: Apply Digital is a hybrid friendly organization with remote options available if needed. The preferred candidate should be based in (or within a location commutable to) Delhi/NCR, with the ability to overlap with the US/NA times zones when required
• Comprehensive Benefits: benefit from private healthcare coverage, contributions to your Provident fund, and a gratuity bonus after five years of service
• Vacation policy: work-life balance is key to our team’s success, so we offer flexible personal time offer (PTO); allowing ample time away from work to promote overall well-being
• Great projects: broaden your skills on a range of engaging projects with international brands that have a global impact
• An inclusive and safe environment: we’re truly committed to building a culture where you are celebrated and everyone feels welcome and safe
• Learning opportunities: we offer generous training budgets, including partner tech certifications, custom learning plans, workshops, mentorship, and peer support