Description

You will design, build, and maintain scalable data pipelines to transform raw data into actionable insights.

This role is on-site.

Responsibilities

• Design and build scalable data pipelines for processing, transforming, and integrating large datasets.
• Develop and maintain ETL processes to extract, transform, and load data from multiple sources into the data warehouse.
• Collaborate with data scientists and analysts to optimize data for analysis and modeling.
• Automate data integration processes to ensure consistency and accuracy across systems.
• Troubleshoot and resolve issues related to data pipelines and workflows.

Required Skills

• 5+ years of experience in Data Engineering and pipeline development.
• Strong expertise in ETL processes, data integration, and data warehousing.
• Proficiency in SQL and Python for data manipulation.
• Hands-on experience with cloud technologies including AWS, Azure, or Google Cloud.
• Deep understanding of data modeling, data quality, and data governance.
• Experience working with relational databases and NoSQL databases such as MongoDB or Cassandra.
• Ability to manage and process large, complex datasets.

Preferred Skills

• Knowledge of big data technologies including Hadoop, Spark, or Kafka.

Key Skills

Education

Any Graduate