🛠 Tech Stack

💼 About This Role

You'll design, build, and productionize modern cloud data platforms and pipelines for enterprise analytics and AI solutions. You will collaborate with client stakeholders to deliver scalable data solutions that drive measurable business value. This role offers the chance to work with cutting-edge cloud platforms like Snowflake, AWS, and Azure in a fast-paced consulting environment.

🎯 What You'll Do

• Own end-to-end data pipeline and platform implementation for cloud-based analytics projects.
• Translate business requirements into technical data engineering solutions.
• Ensure engagements are delivered on time, within scope, and with measurable value.
• Collaborate with data engineers, analysts, and architects to deliver client engagements.

📋 Requirements

• 3–4 years of experience as a Data Engineer designing and deploying data solutions to production.
• Strong programming skills in Python and/or Scala for data engineering.
• Hands-on experience with Snowflake, AWS/Azure, and Databricks.
• Advanced SQL skills including complex query optimization.

✨ Nice to Have

• Production experience with core data platforms (e.g., Snowflake, AWS, Azure, GCP, Databricks).
• Experience with Spark, Kafka, dbt, or Airflow.
• Prior experience in global or remote teams.

🎁 Benefits & Perks

• 🏖️ Remote-first culture providing flexibility.
• 🏆 Award-winning workplace recognized in US, India, and LATAM.
• 🔬 Autonomy to deliver results with top performers.
• 🎓 Internal training and mentoring opportunities.

📨 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