Description

You will design, build, and maintain scalable data pipelines and architectures to support data processing, analytics, and business intelligence.

Responsibilities

• Design, implement, and maintain efficient data pipelines to collect, process, and store data.
• Integrate data from internal and external sources to create unified datasets for analytics.
• Build and maintain databases and data warehouses ensuring smooth data flow and accessibility.
• Ensure data consistency, integrity, and quality while optimizing performance for faster data retrieval.
• Automate repetitive data workflows and maintain documentation for all architectures and processes.

Required Skills

• 5+ years of experience in data engineering or a related role.
• Strong proficiency in SQL and Python.
• Experience with ETL Tools and data pipeline frameworks.
• Proficiency with cloud platforms including AWS, Azure, or Google Cloud.
• Familiarity with data warehousing technologies like Redshift, Snowflake, or BigQuery.
• Experience integrating data from various sources for reporting.
• Ability to collaborate with data scientists and analysts on data quality.

Key Skills

Education

Any Graduate