Job Summary:
We are looking for a Mid Level Junior Data Engineer with solid fundamentals and hands on experience in building and supporting data pipelines. This role suits someone who has moved beyond entry level and can be relied on for execution, while still growing under the guidance of senior engineers.
Key Responsibilities:
• Build and maintain ETL/ELT data pipelines under defined architectures.
• Ingest data from databases, APIs, and flat files.
• Develop and maintain data warehouse tables and basic dimensional models.
• Write and optimize SQL queries for analytics and reporting.
• Implement data validation and quality checks.
• Monitor pipelines, troubleshoot issues, and resolve common failures.
• Support batch and scheduled data processing jobs.
• Document data pipelines, schemas, and data flows.
• Collaborate with Data Analysts, Integration, and Business teams.
Required Skills & Experience:
• 2–4 years of hands-on experience in Data Engineering or related roles.
• Strong SQL skills (joins, aggregations, subqueries).
• Good working knowledge of Python.
• Practical experience with ETL/ELT tools (Airflow, NiFi, or similar).
• Understanding of data warehousing and dimensional modeling basics.
• Experience supporting production data pipelines.
Education:
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
