Description

You will build and maintain the data infrastructure required to ingest, transform, and load large-scale datasets.

This role is on-site.

Responsibilities

• Design, implement, and optimize ETL processes and data pipelines to move data from various sources into the data warehouse.
• Develop and maintain data models, schemas, and databases to support reporting and visualization.
• Perform data cleansing, validation, and quality assurance to ensure accuracy and consistency.
• Monitor and optimize the performance, scalability, and reliability of data systems.
• Troubleshoot data issues, diagnose root causes, and implement solutions to minimize downtime.

Required Skills

• 5+ years of experience in a Data Engineer or similar role.
• Strong programming proficiency in Python and SQL.
• Deep understanding of data warehousing technologies including AWS Redshift, Google BigQuery, Snowflake, or Azure.
• Hands-on experience with ETL tools such as SSIS, Azure Data Factory, Apache Spark, Talend, or Informatica.
• Proven expertise in data modeling, database design, and SQL query optimization.
• Ability to implement data governance policies for security and compliance.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Familiarity with data visualization tools like Tableau or Power BI.

Key Skills

Education

Any Graduate