🛠 Tech Stack

💼 About This Role

You'll design and develop data pipelines to ingest data from source systems into the data warehouse, optimizing existing pipelines to meet SLA requirements. You'll support agile ceremonies and deliver data ingestion demands for the Agile Tribe. This role offers exposure to Big Data and cloud environments like AWS and Databricks.

🎯 What You'll Do

• Design and develop data pipelines for data ingestion
• Support and optimize existing data pipelines to meet SLAs
• Ensure data quality in warehouse tables
• Manage data storage, computing, and security in data warehouse

📋 Requirements

• Bachelor's degree in computer science or related field
• SQL and ETL development experience for Data Warehousing
• 4-6 years of experience in data engineering
• Proficiency in Python or Java (must-have for role)

✨ Nice to Have

• Experience with Big Data, Hadoop, EMR, Hive
• AWS data integrations (Glue, Athena)
• Knowledge of Spark, Databricks Delta Lake, Kafka

🎁 Benefits & Perks

• 🏖️ Contract with regularization
• 💻 2x a week onsite work mode
• 🌍 Global exposure with over 9,000 experts worldwide

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min
4. 4Offer· N/A