Senior Data Engineer(Exp : 7+ yrs)

Role Overview:
We are looking for a Senior Data Engineer with strong hands-on experience in data pipelines, ETL/ELT processes, cloud data platforms, and SQL.

Must-Have Skills

• 5+ years of experience in Data Engineering
• Strong hands-on experience with Python
• Strong knowledge of SQL
• Experience in developing ETL/ELT pipelines
• Experience with Data Warehousing
• Experience with Spark / PySpark
• Hands-on experience with any major cloud platform — AWS / Azure / GCP
• Experience with Data Integration and Data Transformation
• Good understanding of Data Modeling
• Experience with Git / Version Control

Good to Have

• Snowflake / Databricks
• Airflow
• Kafka
• dbt
• Docker / Kubernetes
• CI/CD pipelines
• Cloud services such as AWS S3, Azure Data Factory, Azure Databricks, or GCP Dataflow

Key Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build and optimize ETL/ELT workflows.
• Perform data extraction, transformation, and loading.
• Develop data models and maintain data warehouses.
• Work with large datasets using Spark/PySpark.
• Ensure data quality, reliability, and performance.
• Troubleshoot pipeline and data-related issues.
• Collaborate with Data Scientists, Analysts, and Engineering teams.

Pay: ₹110,000.00 - ₹140,000.00 per month

Benefits:

• Provident Fund

Work Location: Remote