Description

Build and maintain data infrastructure supporting analytics and business intelligence.

This role is on-site.

Responsibilities

• Design, implement, and optimize ETL processes and data pipelines to ingest and transform data from multiple sources.
• Develop and maintain data models, schemas, and databases to support reporting requirements.
• Perform data cleansing, validation, and quality assurance to ensure data accuracy and consistency.
• Monitor pipelines to proactively identify and resolve performance bottlenecks or data issues.
• Collaborate with data scientists, analysts, and IT teams to meet data requirements and ensure system scalability.

Required Skills

• 5+ years of experience in data engineering or related roles.
• Strong programming proficiency in Python and SQL.
• Experience with data modeling, database design, and SQL query optimization.
• Hands-on experience with data warehousing technologies such as AWS Redshift, Google BigQuery, Snowflake, or Azure.
• Experience using ETL tools and frameworks like Apache Spark, Azure Data Factory, SSIS, Talend, or Informatica.
• Any Graduate degree in Computer Science, Engineering, or a related field.
• Proven problem-solving skills and attention to detail.

Preferred Skills

• Knowledge of data visualization tools including Tableau or Power BI.

Key Skills

Education

Any Graduate