Data Engineer

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:**

• Strong 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