Job Title: Senior Data Engineer
Location: Gurgaon (Night Shift)
Experience: 5+ Years
Employment Type: Full-Time
Job Overview
We are looking for an experienced Senior Data Engineer to build and optimize scalable data pipelines, data models, and cloud-based data solutions. The ideal candidate will have strong expertise in AWS, Databricks, PySpark, DBT, Airflow, and MLOps, with experience supporting analytics and machine learning initiatives.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines.
- Build and optimize data models using DBT and SQL.
- Develop data processing solutions using Databricks and PySpark.
- Orchestrate workflows using Airflow and Prefect.
- Implement and support MLOps workflows for machine learning solutions.
- Ensure data quality, performance, reliability, and governance.
- Collaborate with Data Science, Analytics, and Engineering teams.
- Optimize cloud-based data infrastructure on AWS.
Mandatory Skills
- 5+ years of Data Engineering experience.
- Strong hands-on experience with AWS services.
- Minimum 2 years of MLOps experience.
- Databricks, PySpark, SQL.
- DBT, Airflow, Prefect.
- ETL/ELT pipeline development.
- Delta Lake or Apache Iceberg.
- Terraform, AWS CDK, or Pulumi.
- Data Modeling and Performance Optimization.
Preferred Skills
- Kinesis or other streaming technologies.
- Experience supporting Data Science and ML teams.
- Exposure to AI-powered development tools.
Application Question(s):
- Current CTC
- Expected CTC
- Available to work in night shifts.
- Familiarity with Kinesis?
- Have experience with data lakehouse architectures (Iceberg or Delta)?
- Are you on your notice period?
Experience:
- MLOps workflows: 2 years (Preferred)
Location:
- Gurgaon, Haryana (Preferred)
Work Location: In person
