Data Engineer

Position: Permanent
Working Model: Hybrid

Key Responsibilities:

- Build and optimize ETL/ELT data pipelines for large-scale datasets.
- Develop data solutions using AWS Glue, Spark, Redshift, and EMR.
- Work with AWS services including Athena, QuickSight, S3, Aurora DB, Airflow, and Step Functions.
- Develop data transformations and pipelines using Python.
- Implement and manage streaming data solutions using Kafka.
- Use Terraform for Infrastructure as Code (IaC).

Key Requirements:

- Robust hands-on experience with the AWS data stack.
- Proficiency in Python and data pipeline development.
- Experience with Spark, AWS Glue, Redshift, and EMR.
- Knowledge of Kafka and streaming data.
- Familiarity with Terraform and Infrastructure as Code.

Pay: ₹100,000.00 - ₹150,000.00 per month

Benefits:

- Health insurance
- Provident Fund
- Work from home

Work Location: Hybrid remote in Mumbai, Maharashtra

📌 Data Engineer (Mumbai)
🏢 Diksha Technologies
📍 Mumbai