Data Engineer

Airties; Bengaluru; Hybrid; INR 1,400,000 - 2,000,000; Full time

Job summary

Airties is seeking a Data Engineer to reinforce our team. You will design, build and deploy a high-performance, scalable cloud service for customers, turning raw Wi‑Fi data into actionable insights across R&D, support and marketing.

Join a fast-paced, team-oriented environment with a focus on robust data processing, ETL, and data lake concepts using Python, SQL, Spark, Databricks, and AWS cloud tools.

Qualifications

• MS/BS in Computer Science/Engineering or similar field.
• 5+ years of software architecture and development experience as a data engineer.
• Proficient in Python and SQL.
• Experience with AWS cloud services and Spark-based data processing.
• Hands-on experience designing enterprise-grade data processing solutions.
• Knowledge of data modeling, ETL and data lakes.
• Unix/Linux experience.
• Strong problem solving and communication skills.

Responsibilities

• Design, build, and deploy a high-performance, scalable cloud service.
• Transform raw data from Wi‑Fi access points into actionable insights.
• Support R&D engineering, customer support and marketing/business development.

Skills

Python

SQL

Spark

Databricks

AWS Glue

Athena

EMR

Terraform

Education

MS/BS in Computer Science/Engineering or similar field

Tools

Python

SQL

Spark

Databricks

AWS Glue

Athena

EMR

Terraform

Job description

What you will do:

• We are looking for a Data Engineer to re-enforce our Team: designing, building, and deploying a high-performance, highly scalable cloud service to our customers. As a Data Engineer your focus is to transform the raw data we collect on Wi‑Fi access points into pragmatic, actionable insights across a variety of core business areas including R&D engineering, customer support and marketing/business development.

What you should ideally bring:

• MS/BS in Computer Science/Engineering or similar field


• 5+ years of 'solid' software architecture, design and development experience with good understanding of software analysis and design patterns, with 4+ years experience as data engineer


• Strong working knowledge and experience data engineering in Python and SQL


• Strong working Knowledge and experience in the following cloud/enterprise computing technologies/solutions/tools are strongly preferred:




• AWS service components (Glue, Athena, EMR) or similar on other cloud vendors


• Apache Spark (PySpark)


• Databricks


• Terraform




• Hands‑on experience designing and building enterprise‑grade, scalable and distributed server/cloud data processing solutions


• Good understanding of data modeling, ETL and data lake concepts


• Good understanding of AWS Cloud or equivalent


• Working, hands‑on experience and knowledge on Unix/Linux and/or derivatives


• Excellent problem analysis and solving skills


• Desire and positive attitude to work in a fast‑paced, team‑oriented, rapidly changing environment


• Effective communication and documentation skills