ETL Developer

About the role

Develop and maintain robust and scalable data pipelines to ensure the efficient and reliable flow of data within the organization. Design, code, and fine-tune big data processes using Apache Spark for optimal performance and data processing efficiency. Utilize SQL to extract, transform, and analyze data from various sources, ensuring data accuracy and integrity.

What you'll do

• Build and Operate Data Pipelines: Develop and maintain robust and scalable data pipelines to ensure the efficient and reliable flow of data within the organization

What you need

• 1–3 years in data science & ai
• ETL
• SQL
• Spark
• Hadoop
• Python
• Data warehousing
• Any graduate

Good to have

• Hive

What you get

• ₹4 L–₹7 L a year