Description

You will design, build, and maintain scalable data infrastructure and pipelines.

Responsibilities

• Design and develop scalable data pipelines to ingest, transform, and load data from APIs, flat files, and third-party services into the data warehouse.
• Implement data quality checks and validations to ensure accuracy and integrity across all data flows.
• Monitor pipeline performance, troubleshoot issues, and improve system reliability.
• Document data models, ETL processes, and technical specifications.

Required Skills

• 1-3 years of experience in a data engineering role or related field.
• Proficiency in SQL and relational databases such as MySQL or PostgreSQL.
• Proficiency in one or more programming languages including Python, Java, or Scala.
• Understanding of data modeling and schema design.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent relevant experience.
• Strong analytical and problem-solving skills for troubleshooting data issues.

Preferred Skills

• Experience with data processing frameworks like Apache Spark or Apache Airflow.
• Experience with data visualization tools such as Tableau or Power BI.
• Understanding of data warehousing concepts.

Key Skills

Education

Bachelor's Degree